Entries |
Document | Title | Date |
20080219550 | LINE DRAWING SEPARATION FOR INDIVIDUAL COLORS - A line drawing region of an image is separated by determining a line drawing region of image data for each of at least one predetermined color using a color determination threshold for the predetermined color; and separating the line drawing region for each predetermined color from a region other than the line drawing region. | 09-11-2008 |
20080232683 | Image processing apparatus, image processing method and computer program product - An image processing apparatus includes a first separator, a second separator, a dividing unit, and a generating unit. The first separator separates image data into character image data and other image data. The second separator separates the character image data into shape image data and color image data. The dividing unit divides the shape image data and the color image data based on a dividing size decided from the size of the image data and the capacity of processing memory used in output processing of the image data. The generating unit generates additional information for combining a corresponding pair of divided shape image data and divided color image data with the other image data. | 09-25-2008 |
20080253647 | SYSTEM AND METHOD FOR IDENTIFYING AND CLASSIFYING COLOR REGIONS FROM A DIGITAL IMAGE - A system and method of identifying and classifying regions of a digital image. The method includes an initial step of inputting an image as a color digital image. Subsequently, information that identifies color regions of the color digital image is obtained. Finally, color and non-color regions of the color digital image are classified based upon the identifying information. | 10-16-2008 |
20080285846 | Image processing method, image zone detection method, image processing program, image zone detection program, image processing apparatus and image zone detection apparatus - An image processing method according to the present invention is contrived to change the gradation level (of the color component corresponding to the complementary color of yellow) for a pixel within a zone located on a corner of a rectangular image so as to maximize the difference between the gradation level of a pixel that is a processing target and the gradation level of a pixel in a background area in the surrounding area of the pixel that is the processing target, that is, lowering the gradation level. This means the pixel that is a result of applying the process for changing the gradation levels looks yellowish. The human eye has difficulty in recognizing yellow and therefore the change applied to the pixel is inconspicuous as compared to the case of placing a mark or frame on the outside of a rectangular zone. | 11-20-2008 |
20080304735 | Learning object cutout from a single example - Systems and methods are described for learning visual object cutout from a single example. In one implementation, an exemplary system determines the color context near each block in a model image to create an appearance model. The system also learns color sequences that occur across visual edges in the model image to create an edge profile model. The exemplary system then infers segmentation boundaries in unknown images based on the appearance model and edge profile model. In one implementation, the exemplary system minimizes the energy in a graph-cut model where the appearance model is used for data energy and the edge profile is used to modulate edges. The system is not limited to images with nearly identical foregrounds or backgrounds. Some variations in scale, rotation, and viewpoint are allowed. | 12-11-2008 |
20090003691 | SEGMENTATION OF TISSUE IMAGES USING COLOR AND TEXTURE - The present techniques provide for the processing of color tissue images based on image segmentation. In an exemplary embodiment, the color and texture features of pixels in a tissue image are used to generate a matrix of feature vectors. A subset of feature vectors is selected from the matrix of feature vectors and a set of colors and textures are derived using the tissue image and the subset of feature vectors. An initial segmented tissue image is then generated from this set of colors and textures. | 01-01-2009 |
20090022394 | Method For Manipulating Regions Of A Digital Image - A method for dividing a digital image into regions comprises identifying potential region borders based on edge content in the digital image. The digital image is divided into regions based on user-selected ones of the potential region borders. A method of processing a region of a digital image comprises receiving gesture data for characterizing the region. A processing tool associated with the gesture data is automatically launched, and the region is processed using the processing tool. | 01-22-2009 |
20090028426 | Coloring picture, coloring picture generating apparatus, and coloring picture generating method - A watercolor effect-added coloring picture | 01-29-2009 |
20090034835 | System and method for identifying complex tokens in an image - In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of identifying token regions in the image, each token region comprising a connected image region of similar color and intensity, and utilizing the identified token regions to generate single material token regions for use in processing material and illumination aspects of the image. | 02-05-2009 |
20090041344 | Methods and Systems for Determining a Background Color in a Digital Image - Aspects of the present invention are related to methods and systems for determining a background color in a digital image. | 02-12-2009 |
20090060323 | NOISE REMOVAL DEVICE, NOISE REMOVAL METHOD, AND COMPUTER READABLE RECORDING MEDIUM - A noise removal device that removes noise from an image signal includes: a separation unit that separates the image signal into at least two subband signals; a parameter setting unit that sets a plurality of coring ranges in relation to at least one of the subband signals; and a coring unit that performs coring processing on the basis of the plurality of coring ranges. | 03-05-2009 |
20090080770 | IMAGE PIXEL SUBSAMPLING TO REDUCE A NUMBER OF PIXEL CALCULATIONS - Methods, systems, and apparatuses for processing captured image data are described. A first array of pixel data values corresponding to a captured image is received. The first array is segmented into a plurality of N by M array portions. A subsample pattern is selected for each N by M array portion of the plurality of N by M array portions from a plurality of subsample patterns so that each N by M array portion has a corresponding selected subsample pattern. The subsample patterns may be selected in a random fashion, or other fashion, to avoid noise patterns in a spatial domain (same image frame) and/or in a time domain (across multiple image frames). Each N by M array portion is subsampled according to the corresponding selected subsample pattern to generate a second array of filtered pixel data values. The second array of filtered pixel data values corresponds to a down-sized version of the captured image. This process may be performed on data of multiple color channels corresponding to the captured image, and on data corresponding to multiple captured image frames in a video stream. | 03-26-2009 |
20090087086 | IDENTIFYING STALE BACKGROUND PIXELS IN A VIDEO ANALYSIS SYSTEM - Embodiments of the present invention provide a method and a module for identifying a background of a scene depicted in an acquired stream of video frames that may be used by a video-analysis system. For each pixel or block of pixels in an acquired video frame a comparison measure is determined. The comparison measure depends on difference of color values exhibited in the acquired video frame and in a background image respectively by the pixel or block of pixels and a corresponding pixel and block of pixels in the background image. To determine the comparison measure, the resulting difference is considered in relation to a range of possible color values. If the comparison measure is above a dynamically adjusted threshold, the pixel or the block of pixels is classified as a part of the background of the scene. | 04-02-2009 |
20090169099 | METHOD OF AND APPARATUS FOR DETECTING AND ADJUSTING COLOUR VALUES OF SKIN TONE PIXELS - A method of detecting skin tone pixels in an input image and adjusting colour values thereof for an output image is disclosed. The method comprises determining for each of a plurality of pixels in an input image whether initial chromaticity values of each of said pixels lie within a skin tone area defined in a chromaticity plane. The method further comprises amending the initial chromaticity values of those pixels that have chromaticity values lying within said skin tone area to obtain amended chromaticity values for use in obtaining an output image. | 07-02-2009 |
20090175535 | IMPROVED PROCESSING OF MULTI-COLOR IMAGES FOR DETECTION AND CLASSIFICATION - The premise of this invention is that detection or classification of objects in a multi-color image depends on both the resolution and the signal-to-noise ratio (SNR) of the intensity of objects in the image, and can be aided significantly by reliable observation of the general coloring of the objects. The multi-color image may be derived from multiple wavebands, whether or not any of those wavebands lie in the visible light region, infrared region, etc. When detecting or recognizing objects in a color image, SNR information is more important than spatial resolution in the color component. Hence, color images such as RGB components are separated from an intensity image and processed with various noise reduction processes to reduce noise, i.e. increase SNR at the expense of spatial resolution. The intensity image is processed separately to enhance contrast of the image without degrading the spatial resolution. The processed color images and the intensity images are recombined to form a resultant multi-color image having increased SNR with minimum degradation of resolution. | 07-09-2009 |
20090208098 | TILING AND MERGING FRAMEWORK FOR SEGMENTING LARGE IMAGES - Described is a technology by which a large image is processed into a seamless, radiometric mean image containing meaningful image objects. A large source image is tiled into non-overlapping tiles, which are each segmented into regions and merged via their regions. Source image pixels are separated into tiles comprising rows and columns. Once tiled, the tiles are segmented into regions, with each region having an identifier and other associated information such as size data, boundary data and neighbor data. The tiles are merged by merging columns or rows of tiles into row blocks or column blocks, respectively. The row blocks or column blocks are vertically or horizontally merged, respectively. Merging may proceed by selecting a pair of regions based on merging cost, merging that pair, updating its associated data and data of neighbor regions based on the merge, and repeating for other pairs until merging stop criteria are met. | 08-20-2009 |
20090214110 | METHOD AND APPARATUS FOR GENERATING MOSAIC IMAGE - A method and apparatus for generating a mosaic image by mosaic processing of an image are provided, in which an object to be used in a mosaic is acquired from a received image, the object is stored in a storage medium, a target image to be mosaic-processed is received, a mosaic block size is set, at least one object selected from among objects stored in the storage medium is received for use as a mosaic block, the target image is divided into a plurality of areas each having the mosaic block size, and the object is set as a mosaic block by reflecting a color of each divided area in the object. | 08-27-2009 |
20090238448 | System and Method for Local Value Adjustment - In accordance with the teachings of the present invention, a system and method for local value adjustment are provided. In one embodiment, the method includes identifying a hue, saturation, and brightness value for each pixel of an image, determining whether the hue and saturation for each pixel fall within a first predetermined set of hue and saturation combinations, determining whether the brightness value for each pixel of the image falls within a predetermined set of brightness values, and selectively applying a gain to the saturation of each pixel based upon the determination of whether the hue and saturation value of the pixel falls within the first predetermined set of hue and saturation combinations and the determination of whether the brightness value of the pixel falls within the predetermined set of brightness values. The method further comprises decimating the image into multiple localized regions, determining a mean brightness value for each localized region, determining whether the hue and saturation for each pixel fall within a second predetermined set of hue and saturation combinations, and selectively increasing the perceived contrast of the image around the mean brightness value for each localized region by applying a transfer function to each pixel of the image based upon the determination of whether the hue and saturation of the pixel fall within the second predetermined set of hue and saturation combinations. | 09-24-2009 |
20090245626 | IMAGE PROCESSING METHOD, IMAGE PROCESSING APPARATUS, AND IMAGE PROCESSING PROGRAM - A region of interest extracting section automatically extracts regions of interest from within original images by obtaining the degree by which the features of portions within the original images differ from the features of surrounding portions, based on the colors of the original images, brightnesses of the original images, and the orientations of linear components that appear in the original images. A partial image generating section generates partial images by cutting out images of predetermined sizes that include the regions of interest, which are extracted by the region of interest extracting section, from the original images. The generated partial images are displayed. | 10-01-2009 |
20090263013 | APPARATUS, SYSTEM, AND METHOD FOR SKIN TONE DETECTION IN A CMOS IMAGE SENSOR - An image sensing system provide feature tone detection. A feature tone detection module receives illumination compensated pixel data. To perform feature tone identification the illumination compensated pixel data is transformed to a color space having hue and saturation and then compared against pre-selected ranges of hue and saturation. Noise filtering is performed using an erosion-dilation process. A bit code is used to identify pixels having a specified feature tone, such as a skin tone. | 10-22-2009 |
20090274363 | IMAGE PROCESSING APPARATUS AND IMAGE ENCODING METHOD - A region separation unit separates an inputted color document image into a plurality of types of regions such as a character region, a clip art region and a photo image region, and a clip art region extraction unit identifies the clip art region from among the separated regions. A clip art region dividing unit divides the clip art region based on the color features of the clip art region, and a clip art background identify unit identifies the background portion of the clip art region from among the divided regions. A filling unit for filling portions other than the background of a clip art fills a portion of the clip art other than the background with the background color, and a JPEG compression unit compresses the result obtained from the process for filling a clip art portion. | 11-05-2009 |
20090290791 | AUTOMATIC TRACKING OF PEOPLE AND BODIES IN VIDEO - A facial detection module detects faces in any frame in a video by applying at least two rectangles between the eyes of a face and other regions and calculating a difference in intensity between those regions. The intensities are used to generate face detections. A tracking module predicts the location of faces in frames across time and compares the predicted location to the face detections. The face detection that is closest to the predicted location is selected, provided that it exceeds a threshold of overlap with the predicted location. A tracking module determines shot boundaries by comparing the similarities between frames. A clustering module groups the face tracks in the shots, as demarcated by the shot boundaries, for individuals within the video. A body detection module attaches a body outline to each of the face tracks to increase the clickable area for the individuals. | 11-26-2009 |
20090297023 | VIDEO SEGMENTATION USING STATISTICAL PIXEL MODELING - A method for segmenting video data into foreground and background ( | 12-03-2009 |
20090324064 | IMAGE FEATURE EXTRACTION METHOD AND IMAGE COMPRESSION METHOD - The image feature extraction method of the present invention includes: the step of performing k | 12-31-2009 |
20090324065 | IMAGE PROCESSING APPARATUS AND METHOD - An image in which at least one color component among a plurality of color components in an input color image has a resolution lower than that of the other color components is held as a base image. A rectangular region that includes an object image is extracted, a region of the object image and a region of a background image are specified in the rectangular region, and fill-up processing of the specified object image is executed in the base image. Fill-up processing executed at a boundary between the object image and the base image differs from fill-up processing executed at a boundary between the object image and the background image. | 12-31-2009 |
20090324066 | IMAGE PROCESSING APPARATUS, IMAGING APPARATUS, AND IMAGE PROCESSING METHOD - An image processing apparatus includes a parameter setting unit which sets a noise reduction processing parameter for use in noise reduction processing for applying onto an original image signal including a plurality of color components; a correlation arithmetic processing unit which calculates coefficients of correlation between each of the color components in the original image signal; a parameter correcting unit which corrects the noise reduction processing parameter based on the coefficient of correlation; and a noise reducing unit which reduces noise in the original image signal using the corrected noise reduction processing parameter. | 12-31-2009 |
20100008568 | METHOD FOR CLASSIFYING A DIGITAL IMAGE - A method for associating with a digital image a class of a plurality of predefined classes having respective models, the method including the phases of dividing the digital image pixel by pixel into one or more regions belonging to a set of predefined regions that differ from each other on account of their type of content, the division being effected by establishing whether or not a pixel of the image belongs to a respective region on the basis of an operation of analyzing the parameters this pixel, the analysis operation being carried out by verifying that the parameters satisfy predefined conditions and/or logico-mathematical relationships of belonging to the respective region, acquiring from the digital image divided into regions information regarding the regions that are present in it, comparing this information with at least one model characterizing a respective class of said plurality, and associating with the digital image a class on the basis of the comparison phase. | 01-14-2010 |
20100014752 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD AND PROGRAM - A problem of the present invention is to generate the vector expression for expressing dark and light or blur of characters or figures of which the direction or the dark and light of the gradation changes unevenly. | 01-21-2010 |
20100021055 | METHOD, PROGRAM PRODUCT AND APPARATUS FOR PERFORMING A MODEL BASED COLORING PROCESS FOR GEOMETRY DECOMPOSITION FOR USE IN A MULTIPLE EXPOSURE PROCESS - A method of decomposing a target pattern having features to be imaged on a substrate so as to allow said features to be imaged in a multi-exposure process. The method includes
| 01-28-2010 |
20100046830 | Automatic Video Image Segmentation - A method, system, and computer-readable storage medium for automatic segmentation of a video sequence. A segmentation shape prediction and a segmentation color model are determined for a current image of a video sequence based on existing segmentation information for at least one previous image of the video sequence. A segmentation of the current image is automatically generated based on a weighted combination of the segmentation shape prediction and the segmentation color model. The segmentation of the current image is stored in a memory medium. | 02-25-2010 |
20100054584 | IMAGE-BASED BACKGROUNDS FOR IMAGES - In accordance with one or more aspects of the image-based backgrounds for images, an image is analyzed in order to identify a color that represents the image. An enhanced background is generated based at least in part on the identified color, and both the image and the enhanced background are output on a screen. In addition, or alternatively, the identified color can be saved as being associated with the image in order to be used to generate an enhanced background for the image when the image is displayed. | 03-04-2010 |
20100054585 | Text localization for image and video OCR - In accord with embodiments consistent with the present invention, a first action in recognizing text from image and video is to locate accurately the position of the text in image and video. After that, the located and possibly low resolution text can be extracted, enhanced and binarized. Finally existing OCR technology can be applied to the binarized text for recognition. This abstract is not to be considered limiting, since other embodiments may deviate from the features described in this abstract. | 03-04-2010 |
20100054586 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - Image data is divided into blocks and histogram of a color appearing in a target block is formed. A target color region is decided as significant, if the area of that region is larger than a threshold, or if that area is smaller than the threshold and if that region is located at a boundary of the target block and attribute information for the pixel at the boundary in that region indicates a preset attribute. If that region is not decided as significant, to integrate that region to a region of another color which contacts that region, the color of the pixel in that region is substituted by the other color. If that region is decided as significant and if a chrominance difference between that region and the region decided as significant in another block which contacts the target block is smaller than another threshold, these regions are integrated. | 03-04-2010 |
20100054587 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - An image processing apparatus includes an attribute information generation unit configured to generate attribute information about each pixel of input image data, a division unit configured to divide the input image data into a plurality of blocks of a predetermined size, a generation unit configured to generate a histogram of a color and a pixel existing in a focused block divided by the division unit, a color replacement unit configured to execute color replacement processing on each area defined by the histogram generated by the generation unit, a gradation presence determination unit configured to determine whether gradation exists, and a block integration unit configured, if it is determined that gradation exists, to integrate a focused area and an adjacent area to generate continuous gradation in the focused area and the adjacent area. | 03-04-2010 |
20100061627 | Determination of main object on image and improvement of image quality according to main object | 03-11-2010 |
20100074517 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER READABLE MEDIUM - An image processing apparatus includes: an image dividing unit; a corresponding divided image extract unit; a difference extract unit; a first change unit; a second change unit; and an image output unit. | 03-25-2010 |
20100086203 | METHOD, PROGRAM PRODUCT, AND APPARATUS FOR PERFORMING A MODEL BASED COLORING PROCESS FOR PATTERN DECOMPOSITION FOR USE IN A MULTIPLE EXPOSURE PROCESS - A method of decomposing a target pattern containing features to be imaged onto a substrate into a plurality of exposure patterns for use in a multi-exposure process. The method includes dividing the target pattern into fragments; associating the fragments with an exposure pattern; associating the fragments with image log slope (ILS) evaluation points; and maximizing ILS values. Maximizing the ILS values further includes calculating ILS values at the ILS evaluation points; determining a minimum ILS value; calculating changes in the ILS values as a result of associating fragments with a different exposure pattern; determining a maximum change of the ILS values; and associating fragments associated with the maximum change with a different exposure pattern. | 04-08-2010 |
20100092078 | IMAGE PROCESSING APPARATUS AND METHOD - An image processing apparatus segments a determination target image into regions, reads an image type determination condition that includes a plurality of object determination conditions concerning an object related to the region of the image from a storage device, and calculates a feature quantity of the segmented region. The image processing apparatus determines whether the segmented region satisfies at least one object determination condition that is included in the image type determination condition based on the plurality of object determination conditions included in the read image type determination condition and the calculated feature quantity of the region, and identifies an image type of the determination target image based on the region concerning the determination target image that is determined as satisfying the object determination condition. | 04-15-2010 |
20100098330 | DETECTING ILLUMINATION IN IMAGES - An image having m light sources, with m preferably equaling 2 or 3, is sequenced into different regions, each of which is lit by only one of the m light sources, by obtaining paired imaged with different filtering, for example a filtered and an unfiltered image, applying to the image pairs sets of m pre-computed mappings at the pixel or region level, and selecting the most appropriate. The rendering of the information in the image maybe adjusted accordingly. | 04-22-2010 |
20100098331 | SYSTEM AND METHOD FOR SEGMENTING FOREGROUND AND BACKGROUND IN A VIDEO - The present invention discloses a system and method for segmenting foreground and background in a video, wherein the system comprises: a video shooting module for shooting the video; a data reading module for reading each frame of the video; a primary segmentation module for establishing a plurality of Gaussian models in a first color space for each pixel of each frame, and performing a matching processing between each pixel of the current frame and the plurality of Gaussian models corresponding to the pixel, and primarily segmenting the pixels as foreground and background according to the result of the matching processing; and a segmentation rejudging module for performing a rejudging processing to the primarily segmented foreground and background in a second color space, so as to obtain the finally determined foreground and background. The present invention improves the effect of foreground segmentation by using the combination of the color spaces and introducing the relationship between pixels. | 04-22-2010 |
20100104177 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD AND INFORMATION PROCESSING PROGRAM - An input control unit that receives first content data from a content delivery apparatus via a communication unit, converts the first content data into first image data before causing a storage unit to store the first image data, receives second content data generated by a portion or all of the first content data being updated from the content delivery apparatus via the communication unit, and converts the second content data into second image data before causing the storage unit to store the second image data, a center of gravity candidate region extraction unit that calculates difference values of color information between corresponding pixels of the first image data and the second image data stored in the storage unit and extracts a center of gravity candidate region, which is a region constituted by pixels the difference values of which exceed a threshold value stored in the storage unit. | 04-29-2010 |
20100119147 | IMAGE SEGMENTATION - Segmentation of foreground from background layers in an image may be provided by a segmentation process which may be based on one or more factors including motion, color, contrast, and the like. Color, motion, and optionally contrast information may be probabilistically fused to infer foreground and/or background layers accurately and efficiently. A likelihood of motion vs. non-motion may be automatically learned from training data and then fused with a contrast-sensitive color model. Segmentation may then be solved efficiently by an optimization algorithm such as a graph cut. Motion events in image sequences may be detected without explicit velocity computation. | 05-13-2010 |
20100135575 | APPARATUS AND METHOD FOR REDUCING ARTIFACTS IN IMAGES - An apparatus and method of the present disclosure provides an automatic banding region detection function for detecting an image region that has a smooth linear transition of color intensity and is prone to have banding artifacts in image processing. The apparatus and method use a parametric model based approach to detect the banding region. The apparatus and method provide for segmenting at least one first image into at least one homogeneous color region ( | 06-03-2010 |
20100142805 | Constraint generation for use in image segregation - In an exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image, organizing spatio-spectral information for the image in a matrix equation expressed by: [A][x]=[b], wherein [A] expresses values determined by a constraining relationship imposed upon the spatio-spectral information, [b] expresses recorded information for the image, and [x] expresses an unknown material/illumination component of the image, and utilizing the matrix equation in an image segregation operation. | 06-10-2010 |
20100142806 | 3 + 1 LAYER MIXED RASTER CONTENT (MRC) IMAGES HAVING A TEXT LAYER AND PROCESSING THEREOF - A method, system and data structure for providing a 3+1 layer MRC image, including a text layer. The text layer includes pixel data corresponding to text in an image and may be assigned a predetermined value for a particular color. According to one or more embodiments, the 3+1 layer MRC image may be subject to clean-up processing to alter one or more of the layers, other than the text layer, based on the text layer pixel data. This clean-up processing reduces redundant information stored in the 3+1 layer MRC image and provides opportunities for file size reduction (i.e., data compression). | 06-10-2010 |
20100142807 | Image identification method and imaging apparatus - An image identification method for classifying block images of input image data into one of the multiple predetermined categories according to feature quantity in each block image; the method includes an image production step of dividing image data into multiple blocks to produce block images, an image feature quantity processing step of processing the feature quantity of each block image by their color space information and frequency component, a separating hyperplane processing step of learning separating hyperplanes that indicate boundaries of each category by reading in training data image that have labeled categories for each block and processing image feature quantity for each block of an training data image, and a category classification step of classifying respective block image to a category according to the distance from the separating hyperplane of each category by executing the block image production step and the image feature quantity processing step for a newly acquired image to obtain the image feature quantity of block images. | 06-10-2010 |
20100150436 | Code Processing in Electronic Terminal - The invention relates to a method of locating a code in an image file, comprising forming an image window from a target comprising a readable code, dividing the image window into sub-windows, analysing for each sub-window whether it constitutes a part of the code by comparing the variation density colour of the sub-window with one or more threshold values set for the colour, gathering the sub-windows evaluated as constituting a part of the code into a group of sub-windows, and verifying that the gathered group of sub-windows defines a valid code. | 06-17-2010 |
20100158359 | IMAGE DATA CLUSTERING AND COLOR CONVERSION - Methods and systems herein provide for color conversion of image data to another color space. Such color conversion includes converting image data to a color space by identifying color regions in the image data. One color conversion system herein includes a color region identifier operable to select color values in the image data, determine numerical centers of the selected color values, and generate color regions, or color value “clusters”, based on the selected color values and the numerical centers. The color conversion system also includes an optimization module operable to refine the numerical center of each color region, determine a boundary for each color region based on the refined center, and remove a portion of the color cluster centers to optimize a number of the color regions for color conversion processing. | 06-24-2010 |
20100158360 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER PROGRAM - An image processing apparatus includes a color region segmentation unit configure to segment a processing object image into color regions, a linkage information acquisition unit configured to acquire information about linkage regions in each segmented color region, a determination unit configured to determine whether the processing object image is graphics based on the information acquired by the linkage information acquisition unit. | 06-24-2010 |
20100166302 | IMAGE QUALITY EVALUATION DEVICE AND METHOD - An image quality evaluation device is disclosed in the present invention, including: an image analyzer, adapted to analyze the parameters of an image to obtain parameter values; and an evaluation unit, adapted to evaluate the quality of an image based on parameter values in line with the predetermined standard and generate the evaluation result. An image quality evaluation method is disclosed in the present invention, including: analyze the parameters of an image to obtain parameter values; and evaluate the quality of an image based on parameter values in line with the predetermined standard and generate the evaluation result. An image quality evaluation device and method provided in the present invention are used to analyze the parameters of an image with the image recognition technology to obtain parameter values and then generate the parameter values in line with the predetermined standard. In this way, the photo quality can be evaluated automatically in the present invention to decrease the exhausted manpower and improve the entertainment function. | 07-01-2010 |
20100172575 | Method Of Detecting Red-Eye Objects In Digital Images Using Color, Structural, And Geometric Characteristics - Disclosed are methods, devices, and computer program products for red-eye detection in a digital image. In one example embodiment, a method for detecting a red-eye effect in a digital image includes several acts. First, red pixels having a predetermined degree of redness are identified in the image. Next, redness contrast is detected with respect to each of the red pixels and redness is then enhanced for those red pixels having a predetermined level of redness contrast. The pixels identified as being red are then further refined by applying another redness threshold based on one or more color characteristics associated with the red pixels. The refined set of red pixels may then be partitioned into a set of one or more candidate red-eye objects. A candidate red-eye object may be removed as a false positive based on geometric constraints associated with red-eye objects and/or proximity of the object to pixels with human skin-like color tones. | 07-08-2010 |
20100172576 | Color Analyzer And Calibration Tool - A color analysis tool employs color segmentation based on HSB values in an image to determine a distribution of the colors used in a source such as a set of webpages or a medical image. The source can be converted to an image that is then segmented by color and analyzed to determine the color distribution so that a graphical representation of the distribution can be created. A user can adjust the segmentation process to use user determined boundaries in the segmentation process. | 07-08-2010 |
20100189345 | System And Method For Removing Artifacts From A Digitized Document - A system and method is disclosed for removing artifacts from a digitized document. The method discloses receiving a digitized document, having an image format, and including content and an artifact; identifying a content boundary within the digitized document; enhancing the digitized document after identifying the content boundary; and removing the artifact by cropping the digitized document to the content boundary after enhancing the digitized document The system discloses a processor configured to operate a series of functional modules, including: a means for receiving a digitized document, having an image format, and including content and an artifact; a content boundary identification module, for identifying a content boundary within the digitized document; an image enhancement module, for enhancing the digitized document after identifying the content boundary; and a content cropping module, for removing the artifact by cropping the digitized document to the content boundary after enhancing the digitized document. | 07-29-2010 |
20100189346 | ULTRASOUND IMAGE ENHANCEMENT AND SPECKLE MITIGATION METHOD - A method for enhancing an ultrasound image is provided, wherein the ultrasound image is segmented into a feature region and a non-feature region, while sufficiently utilizing features contained in the ultrasound image, in particular including some inconspicuous features, the enhanced image according to present invention is not susceptive of the image segmentation and avoid dependence of the enhancement effect on the segmentation template, so as not to produce an evident artificial boundary between the feature region and the non-feature region but to highlight some special information in the image and to remove or mitigate invalid information. Thus the enhanced ultrasound image is particularly suitable for the visual system of the human beings. | 07-29-2010 |
20100202683 | OPTIMIZED IMAGING SYSTEM FOR COLLECTION OF HIGH RESOLUTION IMAGERY - Radiation is received from a scene impinging on at least one focal plane. A first spectral band is sampled to obtain a first band mean signal level, and either a first band image frame is collected when the first band mean signal level is at or below a first threshold, or a first image frame is collected in a first sub-band when the first band mean signal level is above the first threshold. A second sub-band is sampled to obtain a second sub-band mean signal level and a second image frame is collected in the second sub-band when the second sub-band mean signal level is at or below a second threshold. An image to be displayed is generated by combining at least two collected frames. | 08-12-2010 |
20100202684 | IMAGE SEGMENTATION APPARATUS AND IMAGE SEGMENTATION METHOD - A pixel-value detecting circuit ( | 08-12-2010 |
20100202685 | IMAGE PROCESSING METHOD, IMAGE PROCESSING APPARATUS, AND PROGRAM - A clustering unit first calculates a distance between a feature vector of a processing object pixel and a representative feature vector of a cluster to which a pixel with a high probability of belonging to the same cluster as the processing object pixel such as a nearby pixel of the processing object pixel belongs. When the calculated distance is less than or equal to a first threshold, the processing object pixel is allocated to a cluster to which the nearby pixel or a background image belongs. | 08-12-2010 |
20100215259 | DIGITAL IMAGE CROPPING USING A BLENDED MAP - In a method and system for mapping a digital image having a plurality of pixels, a skin color map of the digital image is computed. The skin color map has a plurality of skin color values. Each of the skin color values is associated with a respective set of one or more of the pixels. Each of the skin color values indicates a likelihood that the respective pixel set is skin. A face map of the digital image is generated. The face map is divided into one or more face zones and a background exclusive of the face zones. Each of the face zones is a group of the pixels. Each of the face zones indicates a greater likelihood than the background that the respective group of pixels is a face. In the skin color map, the respective skin color values associated with the pixels of the face zones are increased to provide a revised map, which is used in controlling a procedure producing an output. | 08-26-2010 |
20100220923 | AUTOMATIC PAGE LAYOUT VALIDATION - A method for validating the layout of webpages comprises receiving a webpage, transforming the webpage into a color-coded page, and determining based at least in part on detecting a color on the color-coded page that a layout of the webpage contains an error. The transforming can comprise identifying a block of content in the webpage, identifying a size and a location of the block, creating a new block with the size and the location of the block, and assigning a new color to the new block. The determining can comprise storing an image snapshot of the color-coded page and comparing the image snapshot to a reference image. | 09-02-2010 |
20100220924 | Method and System of Extracting A Perceptual Feature Set - A method and system of extracting a perceptual feature set for image/video segmentation are disclosed. An input image is converted to obtain a hue component and a saturation component, where the hue component is quantized into a number of quantum values. After weighting the quantized hue component with the saturation component, the weighted quantized hue component and the saturation component are subjected to a statistical operation in order to extract feature vectors. Accordingly, the method and system provide overall segmentation results that are very close to human interpretation. | 09-02-2010 |
20100226566 | PRODUCING OBJECT CUTOUTS IN TOPICALLY RELATED IMAGES - A method for extracting an object out of each image in a group of digital images that contain the object, includes providing a group of digital images, each containing the object with a background; selecting a seed image from the group of digital images, and displaying the seed image to a user; the user providing at least one marking for the seed image, which corresponds to a subset of pixels in the seed image that indicates whether the set of pixels belongs to a part of object of interest or a part of the background; producing from the seed image and the marking a statistical model that can be used for separating the object of interest from the background in the group of images; and applying the statistical model to each image in the group of digital images to produce a cutout of the object of interest from each digital image. | 09-09-2010 |
20100232689 | CORRECTION OF BLOTCHES IN COMPONENT IMAGES - Blotches may be identified and processed to reduce or eliminate the blotch. The blotch may be in just one of several separations and multiple separations may be used, for example, to identify the blotch. An implementation (i) compares a first component image of an image with a first component image of a reference image, (ii) compares a second component image of the image with a second component image of the reference image, and (iii) determines based on these comparisons whether the first component image of the image includes a blotch. Multiple image separations also, or alternatively, may be used, for example, to modify the blotch, as well as to evaluate whether a modification is beneficial. | 09-16-2010 |
20100246942 | IMAGE PROCESSING APPARATUS AND COMPUTER READABLE MEDIUM - An image processing apparatus is provided, the image processing apparatus including: a limited color conversion processing section that extracts plural pieces of color information constructing image information and converts the plural pieces of color information into color information representing specific colors to which each of the plural pieces of color information belongs; a by-color separation processing section that separates the image information containing the converted color information for each of the specific colors; a compression determination section that determines a compression system for each color as to each of pieces of image information which are separated by the by-color separation processing section for each of the specific colors; a compression processing section that compresses said each of pieces of image information according to the determined compression system for each color; and a layered structure forming processing section that collectively outputs said each of pieces of image information compressed. | 09-30-2010 |
20100246943 | IMAGE-PROCESSING DEVICE, IMAGE-FORMING DEVICE, AND STORING MEDIUM - An image-processing device includes: a memory that stores a red range occurring within a color space; an acquisition unit that acquires image data representing a document image that includes characters; and a production unit that produces image data representing an overall image that includes: the document image represented by the image data that is acquired by the acquisition unit, a differentiation image that is positioned within the document image and that allows the user to differentiate an image of red characters residing in the range from an image formed of colors other than red, and an information image representing information for acquiring the document image in a state in which the differentiation image is not positioned. | 09-30-2010 |
20100254597 | System and method for facial tone indexing - The subject application is directed to a system and method for facial tone indexing. Image data comprised of a plurality of pixels encoded in at least a three dimensional component space is received and at least one candidate facial region is isolated in the received image data. The received image data is translated into a Lightness, Chroma, and Hue color space. Histogram data corresponding to the Hue of pixels is calculated in the at least one candidate facial region by discarding the low-chroma pixels first. The Hue index on which the Hue histogram peaks is identified as the Facial Tone Index. The Facial Tone Index indicates where the Hue concentration is and therefore is a single number representing the flesh tone of a face. | 10-07-2010 |
20100254598 | IMAGE MATTING - An alpha matte is generated from image forming elements of an image. For each of one or more of the image forming elements: a respective representative foreground value is determined from one or more of the image forming element values; the respective representative foreground value and the value of the image forming element are normalized with respect to a threshold level; and a respective value of the alpha matte is generated from an evaluation of the normalized image forming element value in relation to the normalized representative foreground value. | 10-07-2010 |
20100260412 | IMAGE PROCESSING APPARATUS AND CONTROL METHOD THEREOF - In order to implement color-reduction processing more suitable, an image processing apparatus includes a reduced-scale image generation unit configured to generate a reduced-scale image of first image data; a color space division unit configured to determine a plurality of bins by dividing predetermined color space; a first frequency distribution generation unit configured to generate a first frequency distribution for all pixels; a detection unit configured to detect an edge region from the first image data; a second frequency distribution generation unit configured to generate a second frequency distribution for pixels included in the edge region; a determination unit configured to select N bins, and to determine N types of pixel values respectively corresponding to the selected N bins; and a substitution unit configured to substitute each of pixels included in the first image data using the determined N types of pixel values. | 10-14-2010 |
20100260413 | IMAGE PROCESSING APPARATUS AND CONTROL METHOD THEREOF - In order to implement color-reduction processing more suitable, an image processing apparatus includes: a reference pixel determination unit configured to determine a reference pixel by scanning first image data; a color space division unit configured to set a plurality of regions in a hue circle and a plurality of luminance levels, and to determine a plurality of bins; a frequency distribution generation unit configured to generate a frequency distribution; a determination unit configured to select N bins based on the generated frequency distribution and to determine N types of pixel values respectively corresponding to the selected N bins; and a substitution unit configured to substitute each of pixels included in the first image data using the determined N types of pixel values. | 10-14-2010 |
20100260414 | DETECTING REDEYE DEFECTS IN DIGITAL IMAGES - A method for detecting a redeye defect in a digital image containing an eye comprises converting the digital image into an intensity image, and segmenting the intensity image into segments each having a local intensity maximum. Separately, the original digital image is thresholded to identify regions of relatively high intensity and a size falling within a predetermined range. Of these, a region is selected having substantially the highest average intensity, and those segments from the segmentation of the intensity image whose maxima are located in the selected region are identified. | 10-14-2010 |
20100266199 | COLOR-IMAGE REPRESENTATIVE COLOR DECISION APPARATUS AND METHOD OF CONTROLLING OPERATION THEREOF - A color that readily leaves an impression is adopted as the representative color of a color image. Pixels that form a color image are distributed in L*a*b* color space and are projected onto the a*b* plane. The pixels are grouped and the color at the centroid position of each group is adopted as a representative candidate color. A first score is calculated based upon the distance from the origin, which is indicative of gray, to the representative candidate color, and a second score is calculated from the number of pixels contained in the group. A final score is calculated from the first and second scores and representative candidate colors that provide the three highest final scores are decided upon as representative colors. | 10-21-2010 |
20100284610 | SKIN COLOR EVALUATION METHOD, SKIN COLOR EVALUATION APPARATUS, SKIN COLOR EVALUATION PROGRAM, AND RECORDING MEDIUM WITH THE PROGRAM RECORDED THEREON - In a skin color evaluation method for evaluating skin color from an input image including a face region, there are included a division step for dividing an entire face region of the image into predetermined regions according to first feature points formed of at least 25 areas that are set beforehand and second feature points that are set by using the first feature points, a skin color distribution evaluation step for performing evaluation by generating a skin color distribution based on average values using at least one of L*, a*, b*, C | 11-11-2010 |
20100290701 | DOCUMENT IMAGE SEGMENTATION SYSTEM - A system and a method for document image segmentation have been disclosed. Image segments are obtained by forming different clusters in a document image. The document image may include images of company logos, product marks or trademarks. The invention can perform image segmentation on any kind of complex coloured image and can recognize logos, product-marks or trademarks which comprise text or graphics, wherein the text can be either of uniform font style or uneven font style such as fancy font styles, calligraphic styles or having different orientation. | 11-18-2010 |
20100303348 | Multi-resolution analysis in image segregation - In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, forming a set of selectively varied representations of the image file and performing an image segregation operation on at least one preselected representation of the image of the image file, to generate intrinsic images corresponding to the image. According to a feature of the exemplary embodiment of the present invention, the selectively varied representations comprise multi-resolution representations such as a scale-spaced pyramid of representations. In a further feature of the exemplary embodiment of the present invention, the intrinsic images comprise a material image and an illumination image. | 12-02-2010 |
20100316286 | MEDIA DATA CUSTOMIZATION - Techniques and systems for media data customization system are provided. In one embodiment, a media data customization system includes a resource allocator that receives media data and a media data customization request and that allocates customization resources for a service of the media data customization request, a pipe repository that stores pipe filter modules, and a pipe manager that retrieves pipe filter modules stored in the pipe repository based on the media data customization request, that integrates the retrieved pipe filter modules to form a pipe group, and that applies the pipe group to the media data using the customization resources to generate customized media data. | 12-16-2010 |
20100316287 | METHOD AND SYSTEM FOR OBJECT RECOGNITION SEARCH - A method for object recognition using shape and color features of the object to be recognized. An adaptive architecture is used to recognize and adapt the shape and color features for moving objects to enable object recognition. | 12-16-2010 |
20100316288 | Systems and methods for segmenation by removal of monochromatic background with limitied intensity variations - A method for distinguishing a foreground object from a monochromatic background in a digital image depicting a foreground object in front of said monochromatic background. A outer edge intensity map is created of the foreground object to which a tracing process is conducted. A continuous edge map is created by utilizing the traced edges in the outer edge intensity map. By selecting a path on the continuous edge map based on average edge intensity, a final edge map is created. The pixels comprised within the final edge map are distinguished as the foreground object. Optionally, the final edge map may be refined utilizing certain techniques. | 12-16-2010 |
20100329546 | Use of an intrinsic image in face recognition - In an exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, identifying information in the image file relevant to a logical deduction regarding material and illumination aspects of an image and selected from information relevant to spatio-spectral aspects of an image and constituents of color; defining a constraint as a function of the information; and utilizing the constraint in an image segregation operation. | 12-30-2010 |
20100329547 | VIDEO DETECTION SYSTEM AND METHODS - A video detection system and method compares a queried video segment to one or more stored video samples. Each of the queried video segments and stored video samples can be represented by respective digital image sets. A first and second comparison comprises comparing a set of low and high resolution temporal and spatial statistical moments in a COLOR9 space, and eliminating file digital image sets that do not match the queried digital image set. A third comparison generates a set of matching files by comparing a set of wavelet transform coefficients in a COLOR9 space. RGB bit-wise registration and comparison of one or more subframes of specific frames in the queried digital image set to a corresponding set of matching file subframes determines queried subframe changes. In the event of a change in a queried subframe, the changed subframe is added to the set of matching file subframes. | 12-30-2010 |
20100329548 | IMAGE COMPRESSING APPARATUS, IMAGE COMPRESSING METHOD, IMAGE DECOMPRESSING APPARATUS, IMAGE DECOMPRESSING METHOD, IMAGE FORMING APPARATUS AND RECORDING MEDUIM - When compressing continuous tone bit map image data, the image compression section of the image compressing apparatus segments the continuous tone bit map image data into bit map image data for lossy compression, index image data for lossless compression and bit map image data for lossless compression based on pixel identification information data. The lossy compression section of the image compression section performs lossy compression process according to the JPEG method for the bit map image data for lossy compression, and the first lossless compression section thereof performs lossless compression process according to the JBIG method for the index image data for lossless compression. Furthermore, the second lossless compression section thereof performs lossless compression process according to the JPEG-LS method for the bit map image data for lossless compression. | 12-30-2010 |
20100329549 | Foreground/Background Separation in Digital Images - A method for providing improved foreground/background separation in a digital image of a scene is disclosed. The method comprises providing a first map comprising one or more regions provisionally defined as one of foreground or background within the digital image; and providing a subject profile corresponding to a region of interest of the digital image. The provisionally defined regions are compared with the subject profile to determine if any of the regions intersect with the profile region. The definition of one or more of the regions in the map is changed based on the comparison. | 12-30-2010 |
20110019911 | IMAGE PROCESSING METHOD, IMAGE PROCESSING APPARATUS, AND COMPUTER-READABLE MEDIUM - An image processing apparatus comprises a division unit configured to divide an input image into a plurality of tiles of a predetermined size; a resolution conversion unit configured to convert the input image into a low-resolution image; and a determination unit configured to determine an attribute of a tile of interest from a pixel feature in the tile of interest, the tile of interest being included in the plurality of tiles obtained by the division unit dividing the input image; a generation unit configured to generate a histogram for pixels in a low-resolution tile that is obtained by converting an image of the same region as the tile of interest into a low-resolution image, the histogram indicating a relationship between each color of pixels and the number of pixels of that color. | 01-27-2011 |
20110019912 | Detecting And Correcting Peteye - Peteye is the appearance of an unnatural coloration (not necessarily red) of the pupils in an animal appearing in an image captured by a camera with flash illumination. Systems and methods of detecting and correcting peteye are described. In one aspect a classification map segmenting pixels in the input image into peteye pixels and non-peteye pixels is generated based on a respective segmentation condition on values of the pixels. Candidate peteye pixel areas are identified in the classification map. The generating and the identifying processes are repeated with the respective condition replaced by a different respective segmentation condition on the pixel values. | 01-27-2011 |
20110026814 | SYSTEM AND METHOD FOR EFFICIENT STORAGE OF MRC IMAGES FOR EASY CLASSIFICATION AND RETRIEVAL - A method and system for processing image data provides associated background metadata in a searchable format and reduces file size. MRC techniques are used to process input image data. It is known that the image data may be segmented to generate a background layer representing background attributes of the input image data. A background color value of the background layer is detected, and background metadata representing the color value is generated. The background metadata is associated with the image data (e.g., as a separate file, in the image header, etc.), thereby making the background metadata searchable and reducing the file size of the image data to be stored. | 02-03-2011 |
20110026815 | METHOD AND APPARATUS FOR IMAGE PROCESSING - A method and apparatus for image processing are provided. The method may include generating a first restoration image by removing distortion components from an original image; determining a mixing ratio between the original image and the first restoration image based on distortion information of a region of interest in the original image; and generating a second restoration image by mixing the original image and the first restoration image according to the mixing ratio. | 02-03-2011 |
20110038535 | FOREGROUND IMAGE SEPARATION METHOD - A foreground image separation method is disclosed to separate dynamic foreground and static background in a sequence of input images which have been processed either with automatic white balance or brightness control by the camera. First, an input image is received from the camera, and then a white balance or brightness compensation is performed to the input image according to a reference image to generate a compensated image with background color and background brightness which are approximately similar to that of the reference image. Finally, a background subtraction algorithm is performed to the compensated image to generate a background separation result. The background subtraction algorithm could be a Gaussian Mixture Model based algorithm. The method could process successive images received from the camera to continuously generate background separation results and update the reference image accordingly, such that video surveillance system could adapt to the change of illumination. | 02-17-2011 |
20110038536 | REAL-TIME IMAGE AND VIDEO MATTING - A system and method implemented as a software tool for generating alpha matte sequences in real-time for the purposes of background or foreground substitution in digital images and video. The system and method is based on a set of modified Poisson equations that are derived for handling multichannel color vectors. Greater robustness is achieved by computing an initial alpha matte in color space. Real-time processing speed is achieved through optimizing the algorithm for parallel processing on the GPUs. For online video matting, a modified background cut algorithm is implemented to separate foreground and background, which guides the automatic trimap generation. Quantitative evaluation on still images shows that the alpha mattes extracted using the present invention has improved accuracy over existing state-of-the-art offline image matting techniques. | 02-17-2011 |
20110038537 | WAVELET DETECTOR FOR FINDING SIMILARITIES BETWEEN MAJOR BOUNDARIES IN IMAGES - A method of and a system for finding similarities between major boundaries of images using a wavelet detector is described herein. Unimportant edges of the image are disregarded by eliminating Gaussian wavelet coefficients and Haar wavelet coefficients of lower significance. Comparison between the images is made on the basis of quantized color, sign and magnitude of the Haar wavelet coefficients. The method performs the comparison between images in two steps. First, the method checks for exact matches between the Haar wavelet coefficients to determine whether the images are very similar. This is followed by binning of the coefficients into nine spatial bins in the image. A representative is assigned to each of the bins in terms of color, orientation and sign. Each bin of one image is compared with all the bins of the other image. Thus, images that are similar but not identical are still detected. | 02-17-2011 |
20110038538 | NOISE REDUCTION APPARATUS, METHOD AND PROGRAM FOR CONTROLLING SAME, IMAGE SENSOR AND DIGITAL CAMERA - Image data pixels indicative of the pixels in a noise-reduction target area having a size of 5×5 pixels is extracted from a plurality of types of CCD-RAW data having red, green and blue color components. A filter for reducing uncorrelated noise is calculated. Uncorrelated noise is removed by performing a filter operation using the calculated filter while correlativity of the CCD-RAW data is maintained. These processing steps are repeated for one frame of CCD-RAW data. After uncorrelated noise has been removed, spatial pixel processing such as an aperture correction is applied. | 02-17-2011 |
20110052047 | System and method for generating an intrinsic image using tone mapping and log chromaticity - In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image in an array of pixels, in a computer memory, performing a tone mapping method on the image, performing a log chromaticity method on the image and calculating a color value for each pixel as a function of information relevant to the tone mapping method and the log chromaticity method. | 03-03-2011 |
20110069881 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - A mesh generation unit divides an object area into respective meshes and obtains position information, gradient information, and color information of each vertex, which forms the meshes. An encoding unit obtains the color of each of the meshes using the color information and gradient information of each vertex. The encoding unit obtains the difference between each obtained color, and a color in a region in the object area that corresponds to each of the meshes. The encoding unit determines whether the sum of obtained differences is not smaller than a threshold. When the sum is smaller than the threshold, the encoding unit encodes the position information, gradient information, and color information of each vertex. When the sum is not smaller than the threshold, the encoding unit subdivides each mesh into submeshes, and encodes color information at a position in the object area that corresponds to each vertex of the submesh. | 03-24-2011 |
20110075921 | Image Selection Techniques - Tools disclosed herein comprise progressive, paint stroke based region recognition and selection tools. Using these tools, a user may partially paint a region of interest directly on an image (by using a paint brush or other similar tool). Unlike conventional selection tools, a user is not required to paint the entire region pixel-by-pixel. Rather the desired region is automatically and intelligently recognized based on the partial selection. This is accomplished via a progressive selection algorithm. In addition, these tools provide the ability to quickly execute such region selections on multi-megapixel images. | 03-31-2011 |
20110075922 | Apparatus and method for removing ink lines and segmentation of color regions of A 2-D image for converting 2-D images into stereoscopic 3-D images - Implementations of the present invention involve methods and systems for converting a 2-D image to a stereoscopic 3-D image by segmenting one or more portions of the 2-D image based on one or more pixel color ranges. Further, a matte may be created that takes the shape of the segmented region such that several stereoscopic effects may be applied to the segmented region. In addition, ink lines that are contained within the segmented region may be removed to further define the corresponding matte. Implementations of the present disclosure also include a interface that provides the above functionality to a user for ease of segmentation and region selection. By utilizing the segmentation process, a 2-D image may be converted to a corresponding stereoscopic 3-D image with a perceived depth. Further, this process may be applied to each image of an animated feature film to convert the film from 2-D to 3-D. | 03-31-2011 |
20110096984 | IMAGE PROCESSING DEVICE, METHOD FOR IMAGE PROCESSING, AND IMAGE FORMING APPARATUS - An image processing device includes a background specifying unit and a filled area specifying unit. The background specifying unit specifies the lightness of a background portion of a document image. The filled area specifying unit determines, on each pixel scattered in a predetermined pattern, among pixels constituting the document image, whether the lightness of the pixel lies in a predetermined range is different from the lightness of the background portion to specify a filled area based on the position of the pixel having the lightness lying in the predetermined range among the pixels scattered in the predetermined pattern. | 04-28-2011 |
20110103683 | IMAGE PROCESSING DEVICE, METHOD AND PROGRAM - An image processing device includes a subject detecting unit detecting a subject on a material image, a working unit performing a working process on the material image such that a region of the subject puts in the block, an image generating unit clipping a subject-including region of the material image so as to have the same form and size as the block and generating a subject-including clipped image and a replacing unit setting one clipped image which is the most similar to the block in terms of color-related characteristics as the replacement image for each block of the production target image and replacing the block by the replacement image to generate a photo-mosaic image. | 05-05-2011 |
20110110585 | IMAGE PROCESSING APPARATUS, METHOD AND COMPUTER-READABLE MEDIUM - Provided is an image processing apparatus, method and computer-readable medium. The image processing apparatus, method and computer-readable medium may extract a target object area from an input color image, based on an input depth image and the input color image. For the above image processing, the image processing may extract a silhouette area of a target object from the input depth image and refine the silhouette area of the target object based on the input color image. | 05-12-2011 |
20110116708 | FAST IMAGE PARSING BY GRAPH ADAPTIVE DYNAMIC PROGRAMMING - Systems and methods are disclosed to perform image parsing on one or more images by identifying a set of similar regions from each image; assigning one or more region labels to each region and generating multiple hypotheses for region label assignment; and detecting class, location and boundary of each object in the image, wherein object classification, detection and segmentation are performed jointly during image parsing. | 05-19-2011 |
20110116709 | IMAGE PROCESSING METHOD AND IMAGE PROCESSING APPARATUS - An image processing method and image processing apparatus which can execute vector conversion processing by appropriately dividing a clipart image including gradation into regions are provided. To this end, a color document image including a clipart image having an area of gradation is input, the clipart image is selected, and outline information of the clipart image is extracted. The color document image is separated into an achromatic color area and a chromatic color area, which are respectively divided into a plurality of regions. Of the plurality of regions of each of the achromatic color area and the chromatic color area divided in the dividing of region step, regions which meet a set condition are integrated. After that, the clipart image is converted into vector data using a region group after integrating of region and the outline information. | 05-19-2011 |
20110135194 | PULLING KEYS FROM COLOR SEGMENTED IMAGES - Described are computer-based methods and apparatuses, including computer program products, for pulling keys from color segmented images. Data indicative of a two dimensional image is stored in a data storage device, the two dimensional image comprising a plurality of pixels. A plurality of color segmented frames are generated based on the two dimensional image, wherein each color segmented frame comprises one or more objects. For each of the color segmented frames, a key is generated based on the one or more objects. A depth map is calculated for the two dimensional image based on the keys, wherein the depth map comprises data indicative of three dimensional information for each pixel of the two dimensional image. | 06-09-2011 |
20110164813 | APPARATUS AND METHOD FOR DIGITIZING DOCUMENTS - An apparatus according to the present invention comprises: a region extraction unit configured to extract region data for each object from document image data including tables; a table structure analysis unit configured to analyze the region data relating to table objects out of the extracted region data and extract table structure information on each of the table objects; a sheet generation unit configured to generate a display sheet for reproducing a layout of the object in the document image data and an edit sheet for each table for editing the table, by using the region data and the table structure information on each object; and an electronic-document generation unit configured to generate an electronic document which associated the display sheet with the edit sheet. | 07-07-2011 |
20110164814 | FOREGROUND REGION EXTRACTION PROGRAM, FOREGROUND REGION EXTRACTION APPARATUS AND FOREGROUND REGION EXTRACTION METHOD - There are provided a foreground region extraction program, a foreground region extraction apparatus, and a foreground region extraction method capable of clipping an object region (foreground region) at high speed. | 07-07-2011 |
20110176727 | METHOD FOR GENERATING BACKGROUND IMAGE AND SYSTEM FOR GENERATING BACKGROUND IMAGE - An unprocessed image is prepared which is shot against an arbitrary background, including materials to be trimmed. Color values are collected from a plurality of frames of this unprocessed image in a collection point including one or more pixels, whereby a color information set is obtained. From the color information set, it is judged which color shows the background and which color shows the materials to be trimmed, thereby determining an optimum background-side color value. This process is applied to an area where to extract the background from, thereby obtaining a background image into which the background is extracted. This makes it possible to obtain background images from unprocessed images that are shot in busy locations, without traffic controls or dedicated studios. | 07-21-2011 |
20110182507 | Image Preprocessing - A method, performed by a software process executing on a computer system, includes accessing a digital image comprising a plurality of pixels. The method also includes determining whether one or more pixels bounding a first rectangular sub-region of a predetermined size within the digital image satisfy a specified criterion. If a predetermined percentage of bounding pixels satisfy the specified criterion, the method assumes that all pixels within the first rectangular sub-region also satisfy the specified criterion. The method further includes selectively executing an image analysis algorithm on the digital image using the assumption that all pixels within the rectangular sub-region also satisfy the specified criterion. | 07-28-2011 |
20110182508 | SEGREGATION OF HANDWRITTEN INFORMATION FROM TYPOGRAPHIC INFORMATION ON A DOCUMENT - A system for segregating handwritten information from typographic information on a document may include a memory, an interface, and a processor. The memory stores an electronic document image of a document where the electronic document image includes pixels and each pixel has a characteristic. The processor may receive, via the interface, the electronic document image and may identify first, second and third most frequently occurring characteristics of the pixels of the electronic document image. The pixels having the first most frequently occurring characteristic represent a background of the document. The processor may determine the typographic information of the document as represented by pixels having the second most frequently occurring characteristic. The processor may determine the handwritten information of the document as represented by pixels having the third most frequently occurring characteristic. The processor may derive a first representation of the handwritten information and a second representation of the typographic information. | 07-28-2011 |
20110194759 | Mouth Removal Method For Red-Eye Detection And Correction - An input image (e.g. a digital RGB color image) is subjected to an eye classifier that is targeted at discriminating a complete eye pattern from any non-eye patterns. The red-eye candidate list with associated bounding boxes that are generated by the red-eye classifier are received. The bounding rectangles are subjected to object segmentation. A connected component labeling procedure is then applied to obtain one or more red regions. The largest red region is then chosen for feature extraction. A number of features are then extracted from this region. Then these features are used to determine if the particular candidate red-eye object is a mouth. | 08-11-2011 |
20110194760 | IMAGE PROCESSING APPARATUS AND METHOD - In generating image data for use in image formation by multi-pass recording, the position of a pixel of interest to be color separated relative to a recording region corresponding to the conveyance distance of a recording medium in one pass of the multi-pass recording is determined, a color separation table corresponding to the result of the determination is selected, and image data of the pixel of interest is color separated using the selected color separation table. | 08-11-2011 |
20110200250 | APPARATUS AND METHOD FOR GENERATING IMAGE FOR CHARACTER REGION EXTRACTION - Provided is an apparatus and method for generating an image for character region extraction. Upon input of an original image, a candidate character image is generated from the original image and a plurality of binarization maps for similar colors are generated from the generated candidate character image. A binarization map including a background region is selected from among the plurality of generated binarization maps, and the background region of the selected binarization map is expanded. The expanded background region is inverted to generate an image including a character region, thereby generating an image for accurately extracting the character region without missing a boundary portion of a character. | 08-18-2011 |
20110206276 | HYBRID GRAPH MODEL FOR UNSUPERVISED OBJECT SEGMENTATION - This disclosure describes an integrated framework for class-unsupervised object segmentation. The class-unsupervised object segmentation occurs by integrating top-down constraints and bottom-up constraints on object shapes using an algorithm in an integrated manner. The algorithm describes a relationship among object parts and superpixels. This process forms object shapes with object parts and oversegments pixel images into the superpixels, with the algorithm in conjunction with the constraints. This disclosure describes computing a mask map from a hybrid graph, segmenting the image into a foreground object and a background, and displaying the foreground object from the background. | 08-25-2011 |
20110211753 | Automatic processing of pre-selected filters that are associated with each photo location within the template in relation to creating the photobook - Systems and methods are disclosed for generating a Photo Book using digital images based on pre-assigned templates and filters designed for a particular type of an event, such as weddings and portraits. The placement of the photos and subsequent processing of the photos implements pre-defined templates and pre-defined filters. | 09-01-2011 |
20110222762 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, IMAGE PROCESSING PROGRAM STORAGE MEDIUM - An image processing apparatus includes a separation section, a background color setting section, and a generating section. The separation section separates at least one image component having different attributes contained in electronic document data expressing an original image. The background color setting section selects a coloring method, from among a plurality of coloring methods for coloring a background, according to software to be used and sets a background color. The generating section generates software data corresponding to the software by coloring the background color based on the setting of the background color setting section, and re-arranging the at least one image component. | 09-15-2011 |
20110235903 | IMAGE PROCESSING METHOD, IMAGE PROCESSING APPARATUS AND PROGRAM STORAGE MEDIUM - Vectorization of an image in which a monospaced line and surfaces coexist without generation of a gap in a boundary between the monospaced line and the surfaces or between the surfaces, is realized. Separation processing of the monospaced line and the surface is executed for each color region. After the separation, a pixel position where the monospaced line is located is filled with color information of an adjacent surface. Boundary-sharing type vectorization processing is executed for data which is obtained by filling the monospaced line. Further, vector data expressed by a core line and a line width is generated based on the monospaced line obtained by separation processing of the monospaced line and surface. A vectorization result of the monospaced line extracted according to each color, and a vectorization result of a boundary line of the surface generated from data after a monospaced line region is filled are outputted. | 09-29-2011 |
20110235904 | COLOR NAMING, COLOR CATEGORIZATION AND DESCRIBING COLOR COMPOSITION OF IMAGES - The invention provides methods, systems and apparatus for assigning color names to individual image pixels, and generating verbal description of color composition in images, suitable for a wide variety of information processing applications. For an isolated image pixel (individual color sample or color value) an illustrative embodiment of this invention uses a predetermined vocabulary of color names, and then generates a distance measure describing the best color match and corresponding color name for the given pixel. For the input image, an illustrative embodiment of this invention computes the simplified representation of the scene, consistent with human perception, and uses the predetermined vocabulary, syntax rules and metric to assign color names to all perceptually significant objects and regions and obtain the verbal description of the overall color composition. The invention is also applicable to other types of information signals, such as sequences of video frames, web pages, etc. | 09-29-2011 |
20110243431 | Detecting Objects Of Interest In Still Images - A computer implemented method and system for detecting interest sections in a still image are provided. One or more sub images of the still image is subjected to segmentation. A gray scale version of interest sub images and/or a binary image version of the interest sub images are matched with a predefined template for filtering the interest sub images. Multiple prospective image sections comprising one or more of prospective interest sections and prospective near interest sections are determined by performing discriminative feature analyses of the filtered interest sub images using a gabor feature filter. The discriminative feature analyses are processed by a boosted cascade of classifiers. The boosted cascade of classifiers detects the interest sections in the still image from the prospective interest sections and the prospective near interest sections. The detected interest sections are subjected to a support vector machine classifier for further detecting interest sections. | 10-06-2011 |
20110255777 | IMAGE COMPRESSING APPARATUS, IMAGE OUTPUTTING APPARATUS, AND IMAGE COMPRESSING METHOD - A color image processing apparatus is provided with a black text emphasis mode, in which, when compressing an image in a compression processing section, edges of a black text in the image are detected, a foreground layer in which the detected edges of the black text are represented by a binary image is generated, and lossless compression is performed on the foreground layer. When the black text emphasis mode is selected, a background layer in which the difference in density between the edges of the black text and pixels in the vicinity of the edges in the image is reduced is generated, and lossy compression is performed on the background layer. With this operation, in an image obtained by decompressing a compressed file, outline of the black text is clearly represented, and an artifact caused by the lossy compression is suppressed. | 10-20-2011 |
20110262035 | TWO STAGE DETECTION FOR PHOTOGRAPHIC EYE ARTIFACTS - The detection of red-eye defects is enhanced in digital images for embedded image acquisition and processing systems. A two-stage redeye filtering system includes a speed optimized filter that performs initial segmentation of candidate redeye regions and optionally applies a speed-optimized set of falsing/verification filters to determine a first set of confirmed redeye regions for correction. Some of the candidate regions which are rejected during the first stage are recorded and re-analyzed during a second stage by an alternative set of analysis-optimized filters to determine a second set of confirmed redeye regions. | 10-27-2011 |
20110262036 | METHOD AND SYSTEM FOR ITEM IDENTIFICATION - The disclosed method and the corresponding system for identifying an item on a production line according to the invention relies on color histograms established from a digital image of the item, which are compared, on a bin per bin basis, with minimum and maximum numbers of pixels per bin allowed for identification with a reference item. | 10-27-2011 |
20110268354 | METHOD, APPARATUS AND COMPUTER PROGRAM PRODUCT FOR COMPENSATING EYE COLOR DEFECTS - Method, apparatus, and computer program product are provided. The method includes computing a first difference image for a first eye region based on a difference of red pixel intensity and green pixel intensity of each of a first set of pixels associated with the first eye region. The method further includes determining a first eye color defect region by computing a neighborhood processed first difference image by processing the first difference image, computing a first central point of the neighborhood processed first difference image based on a weighted centroid of red pixels associated with the neighborhood processed first difference image, and thereafter computing the first eye color defect region based on the first central point, and the red pixels associated with the first difference image. | 11-03-2011 |
20110299769 | IMAGE PROCESSING USING A BILATERAL GRID - A method of processing a digital image. The method comprises: populating ( | 12-08-2011 |
20110305386 | Color Indication Tool for Colorblindness - A color indication tool is described that enables a colorblind user to better perceive and recognize visual documents. An exemplary process utilizes a user-input device, such as a mouse or a stylus, to identify a pixel, region, object within an image. The color indication tool provides an indication of the color of the identified pixel, region or object. | 12-15-2011 |
20110311133 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER READABLE RECORDING MEDIUM - An image processing apparatus includes: a first judging unit that determines an unnecessary candidate region, on a basis of first feature data based on color information of an intraluminal image; and a second judging unit that judges whether the unnecessary candidate region is an unnecessary region, based on second feature data, which is different from the first feature data, of the unnecessary candidate region. | 12-22-2011 |
20110311134 | IMAGE MASKS GENERATED FROM LOCAL COLOR MODELS - Methods, systems, and apparatus, including computer program products, feature receiving an image mask where the image mask identifies a first opacity value of pixels in a raster image. The first opacity value ranges between a value representing foreground and a value representing background. Each pixel in the image has a color. A first boundary pixel is identified in the image. A second opacity value for the first boundary pixel is determined using a first local color model of opacity. The first local color model of opacity is determined based on the colors of the pixels in the image within a local neighborhood of the first boundary pixel. | 12-22-2011 |
20120002871 | Method of Estimating Depths from a Single Image Displayed on Display - A method of estimating depths on a monocular image displayed on a display is utilized for improving correctness of depths shown on the display. Feature vectors are calculated for each patch on the monocular image for determining an intermediate depth map of the monocular image in advance. For improving the correctness of the intermediate depth map, an energy function in forms of vectors is minimized for calculating a best solution of the depth map of the monocular image. Therefore, the display may display the monocular image according to a calculated output depth map for having an observer of the display to correctly perceive depths on the monocular image. | 01-05-2012 |
20120020553 | Automatically Keying an Image - Some embodiments provide a method for automatically selecting a portion of an image that includes several pixels, each of which has a set of pixel values. The method identifies a background color of the image. For each region of a set of regions of a color space that correspond to the background color, the method determines whether a threshold number of pixels in the image have pixel values that are in the region. The method identifies the pixels of the image in the regions that correspond to the background color and have a threshold number of pixels in the image. The method generates a portion of the color space to define a selection of the image using the pixel values of the identified pixels. | 01-26-2012 |
20120020554 | VARIABLE KERNEL SIZE IMAGE MATTING - Image matting is performed on an image having a specified foreground region, a background region and an unknown region by selecting a kernel size based on a size of the unknown region. The matting processing is performed using the selected kernel size to provide an alpha matte that distinguishes a foreground portion from a background portion in the unknown region. Further, in some implementations, a trimap of the image may be segmented and matting processing may be performed on each segment using a kernel size appropriate for that segment. | 01-26-2012 |
20120027293 | AUTOMATED MULTIPLE IMAGE PRODUCT METHOD - A computer implemented method for receiving a selection of first and second dates to define a date range and receiving a selection of a theme. A plurality of digital images is accessed that includes digital images captured within the date range. The digital images are segmented into distinct events depicted in the digital images. Distinct events that correspond to the theme are identified. Digital images from different distinct events are incorporated into a multi-image product which is then printed or fabricated. | 02-02-2012 |
20120033875 | PRECEPTUAL SEGMENTATION OF IMAGES - Method and system embodiments of the present invention are directed to automated identification of regions within digitally-encoded images that correspond to objects and features of scenes captured in the digitally-encoded images, a process referred to as ‘perceptual segmentation’ of an image. Regions or segments within an image are first identified by any of various region-identifying or segmentation methods. For each region or segment, features of pixels within the region or segment are employed to compute one or more segment features. The segment features are used, in turn, to identify the region or segment as belonging to a particular type of region or segment, and the region is then accordingly labeled or tagged as a region or segment of the determined type. | 02-09-2012 |
20120039529 | Producing, Capturing and Using Visual Identification Tags for Moving Objects - A visual Reference tag is formed from an array of cells, wherein each cell is visually distinct from all other cells in a given neighborhood and each of said cells contains a single visual cue, for example a unique color, selected from a finite number of visual cues. | 02-16-2012 |
20120057781 | METHOD AND SYSTEM TO DETERMINE WHETHER AN IMAGE INCLUDES SPATIAL ADJUSTMENTS - The present disclosure provides a computer-implemented method of identifying spatial image modifications. The method includes receiving a original image and a adjusted image. The method also includes identifying a first subset of pixels comprising pixels in the original image that have a same first color value. The method also includes determining whether a second subset of pixels in the adjusted image all have a same second color value, wherein the second subset of pixels spatially correspond with the first subset of pixels. A spatial adjustment is identified if the second subset of pixels do not all have the same second color value. | 03-08-2012 |
20120063677 | Detecting Redeye Defects in Digital Images - A method for detecting a redeye defect in a digital image containing an eye comprises converting the digital image into an intensity image, and segmenting the intensity image into segments each having a local intensity maximum. Separately, the original digital image is thresholded to identify regions of relatively high intensity and a size falling within a predetermined range. Of these, a region is selected having substantially the highest average intensity, and those segments from the segmentation of the intensity image whose maxima are located in the selected region are identified. | 03-15-2012 |
20120070077 | METHOD FOR OPTICALLY SCANNING AND MEASURING AN ENVIRONMENT - With a method for optically scanning and measuring an environment by means of a laser scanner, which has a center, and which, for making a scan, optically scans and measures its environment by means of light beams and evaluates it by means of a control and evaluation unit, wherein a color camera having a center takes colored images of the environment which must be linked with the scan, the control and evaluation unit of the laser scanner, to which the color camera is connected, links the scan and the colored images and corrects deviations of the center and/or the orientation of the color camera relative to the center and/or the orientation of the laser scanner by virtually moving the color camera iteratively for each colored image and by transforming at least part of the colored image for this new virtual position and/or orientation of the color camera, until the projection of the colored image and the projection of the scan onto a common reference surface comply with each other in the best possible way. | 03-22-2012 |
20120087577 | IMAGE PROCESSING APPARATUS, METHOD FOR PROCESSING IMAGE, AND PROGRAM THEREFOR - In a case where a background removal level is a level for removing a background, monochrome image data is generated based on color image data and then background removal processing is applied to the generated monochrome image data. In a case where the background removal level is a level for not removing the background, the background removal processing is applied to color image data and then monochrome image data is generated based on the image data having underdone the background removal processing. | 04-12-2012 |
20120087578 | IMAGE PROCESSING APPARATUS AND STORAGE MEDIUM STORING IMAGE PROCESSING PROGRAM - An image processing apparatus of the present invention includes a detecting unit detecting, among plural fundamental regions set to an image, a fundamental region satisfying a predetermined condition as an appropriate region, a specifying unit specifying adjacent states of fundamental regions excluding the appropriate region among the plural fundamental regions, and a region segmentation unit performing region segmentation on each component included in the image based on the adjacent states of the fundamental regions excluding the appropriate region specified by the specifying unit. | 04-12-2012 |
20120087579 | Method And Apparatus For Detecting Objects In An Image - A method of detecting generally rectangular objects in an image comprises determining candidate rectangles in the image based on detected corners in the image, ranking the candidate rectangles on the basis of a set of differentiating factors and detecting objects in the images based on the ranked candidate rectangles. | 04-12-2012 |
20120093399 | APPARATUS AND METHOD FOR ENHANCING IMAGE QUALITY OF IMAGE CAPTURED BY USING MULTIPLE COLOR-FILTER APERTURE - Provided are an apparatus and method for enhancing image quality of an input image captured by an image capturing device having an aperture with a plurality of openings employing different color filters. The image quality enhancing apparatus includes an ROI (region of interest) classifying unit classifying ROIs according to distances from the image capturing device of a captured input image by using a cluster-based image segmentation algorithm, a color channel registering unit determining motion vectors of color channels corresponding to the respective ROIs by analyzing a high frequency component of image data included in the ROIs, and moving the color channels based on the determined motion vectors to obtain a registered image of the respective ROIs, and an image fusing unit fusing the registered images of the respective ROIs to obtain a fused image. | 04-19-2012 |
20120093400 | DIFFERENCE DETECTING APPARATUS, DIFFERENCE OUTPUT APPARATUS, AND MEDIUM - A difference detecting apparatus include: an image receiving unit that receives at least one or more first images and at least one or more second images; and an exception region acquiring unit that acquires (i) first exception regions that include non-background-color pixels of a first common image, (ii) second exception regions that include non-background-color pixels of a second common image, or (iii) both of the first exception regions and the second exception regions. The difference detecting apparatus includes a first difference detecting unit that detects differences between a first image of attention which is at least one of the first images and a second image of attention which is one of the second images corresponding to the first image of attention except for the first exception regions, the second exception regions, or a union or product of sets of the first exception regions and the second exception regions. | 04-19-2012 |
20120114229 | ORTHORECTIFICATION AND MOSAIC OF VIDEO FLOW - A method and system are disclosed for creating a real-time, high accuracy mosaic from an aerial video image stream by applying orthorectification of each original video image frame using known ground control points, utilizing a photogrammetric model resolving the object image into pixilation, applying shading to the pixellation, and mosaicking the shaded pixilation of several orthorectified images into a mosaicked image where the mosaicked image is then scaled to the known original image dimensions. | 05-10-2012 |
20120114230 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM - An image processing apparatus determines an attribute of a block image based on the attribute of the block image determined based on a color distribution characteristic amount of the block image and the attribute of the block image determined based on an edge characteristic amount of the block image. | 05-10-2012 |
20120134581 | IMAGE PROCESSING APPARATUS, IMAGE FORMING APPARATUS, IMAGE PROCESSING METHOD, COMPUTER PROGRAM AND COMPUTER-READABLE MEDIUM - The compression processing unit | 05-31-2012 |
20120148151 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM - An image processing apparatus, comprising: a detecting unit that detects a foreground area including a foreground object, a background area, and a boundary area between the foreground area and the background area, from data of a processing target image; and a display control unit that executes a control to display the boundary area in a first color distinguishable from other areas and the background area in a second color different from the first color when the processing target image is displayed. | 06-14-2012 |
20120155754 | Finding text regions from coloured image independent of colours | 06-21-2012 |
20120155755 | SYSTEM FOR EMBEDDING DATA - A method and system including capturing a video stream including embedded data, segmenting the video stream into a plurality of video frames included therein, locating a color mass, denoted C′, for each color element of every individual video frame of the plurality of video frames by summing color value coordinates for a given color element included in the individual video frame, locating a color mass, denoted C, for each color element of a corresponding individual video frame, the corresponding individual video frame corresponding a video frame which does not include embedded data, subtracting C from C′, and deriving, from a result of the subtraction, a value of a first coordinate and a second coordinate, the first coordinate and the second coordinate including coordinates of a vector, the vector corresponding to a string of bits including information embedded in the individual video frame. Related apparatus, methods and systems are also described. | 06-21-2012 |
20120155756 | METHOD OF SEPARATING FRONT VIEW AND BACKGROUND AND APPARATUS - A method of initially estimating a front view portion of a photographed image and separating the photographed image into a front view and a background without user interaction and apparatus performing the method are provided. The method of separating a front view and a background of an image includes dividing one or more pixels included in a photographed image into pixel groups according to color similarity between the pixels, estimating the position of the front view in the image divided into the pixel groups, and separating the front view and the background based on the estimated position of the front view. The method automatically separates the front view and the background of the image without a user input. | 06-21-2012 |
20120183211 | EXTRACTION OF DATA USING LANDMARKS - A system for extracting data from a document may include a memory, an interface, and a processor. The processor may identify one or more landmarks based on predefined characteristics that are associated with known landmarks. After one or more landmarks are defined, business rules may indicate one or more areas that may contain data to be extracted. The business rules may also indicate the type of data in the area and processing methods that may be used to extract the data. After determining the business rules, the processor may determine whether the data is in the area and/or extract the data. | 07-19-2012 |
20120183212 | IDENTIFYING DESCRIPTOR FOR PERSON OR OBJECT IN AN IMAGE - A device and method for processing an image to create appearance and shape labeled images of a person or object captured within the image. The appearance and shape labeled images are unique properties of the person or object and can be used to re-identify the person or object in subsequent images. The appearance labeled image is an aggregate of pre-stored appearance labels that are assigned to image segments of the image based on calculated appearance attributes of each image segment. The shape labeled image is an aggregate of pre-stored shape labels that are assigned to image segments of the image based on calculated shape attributes of each image segment. An identifying descriptor of the person or object can be computed based on both the appearance labeled image and the shape labeled image. The descriptor can be compared with other descriptors of later captured images to re-identify a person or object. | 07-19-2012 |
20120189195 | APPARATUS AND METHOD FOR ALIGNING COLOR CHANNELS - Provided are an apparatus and method for aligning color channels on the basis of depth information on an image taken by an imaging device equipped with a multiple color-filter aperture (MCA). An image divider generates a binary image including edge information on an original image, and generates a label map including a plurality of regions of interest (ROIs) respectively corresponding to a plurality of objects included in the original image. A shifting vector estimator estimates color shifting vectors (CSVs) indicating shift directions and distances of color channels of the original image according to the respective ROIs. A channel matching unit obtains a plurality of matched images corresponding to the respective ROIs included in the label map by shifting the color channels according to the respective CSVs, and generates a multi-focus image by combining the matched images. | 07-26-2012 |
20120195500 | MOTION-BASED, MULTI-STAGE VIDEO SEGMENTATION WITH MOTION BOUNDARY REFINEMENT - A motion-based, multi-stage segmentation of a video frame is provided. A first segmentation stage identifies motion boundaries in a plurality of sub-blocks of the video frame. The motion boundaries are identified by computing an occlusion-insensitive localized motion cost and minimizing a MAP-MRF energy based on the localized motion cost. A second segmentation stage refines the motion boundaries by adding a color cost to the localized motion cost in the MAP-MRF energy. | 08-02-2012 |
20120195501 | IMAGE PROCESSING APPARATUS AND METHOD FOR DEFINING DISTORTION FUNCTION FOR SYNTHESIZED IMAGE OF INTERMEDIATE VIEW - An apparatus and method for processing an image are provided. The apparatus may determine a distortion region based on warped pixels in a synthesized image of an intermediate view; and define a surface area of the distortion region as a distortion function of the synthesized image. | 08-02-2012 |
20120201451 | COLOR MATCHING USING COLOR SEGMENTATION - Some embodiments provide a computer program for matching colors of a first image to colors of a second image. The computer program identifies a set of transforms for converting the first image to a device-independent color space. The computer program modifies the set of transforms to segment colors of the first image into a set of segmented colors. The computer program applies the modified set of transforms to pixel values of the first image in order to segment the pixels of the first image into the set of segmented colors. The computer program applies the modified set of transforms to pixel values of the second image in order to segment the pixels of the second image into the set of segmented colors. The computer program matches each segmented color in the set of segmented colors in the first image to the segmented color in the second image. | 08-09-2012 |
20120213431 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER READABLE MEDIUM - An image processing apparatus includes a receiving unit that receives an image; a separating unit that separates a first area from the received image; an extracting unit that extracts a second area of a color having a predetermined relationship in the separated first area; an acquiring unit that acquires the characteristic relating to the shape of the extracted second area; a first determining unit that determines whether or not the second area is plain, on the basis of the acquired characteristic; and a second determining unit that determines, as the property of the first area, whether the first area is a continuous-tone area, a plain area, or a composite area including a continuous-tone area and a plain area, on the basis of the ratio of the second area determined to be plain to the separated first area. | 08-23-2012 |
20120213432 | Automatic Video Image Segmentation - A method, system, and computer-readable storage medium for automatic segmentation of a video sequence. A segmentation shape prediction and a segmentation color model are determined for a current image of a video sequence based on existing segmentation information for at least one previous image of the video sequence. A segmentation of the current image is automatically generated based on a weighted combination of the segmentation shape prediction and the segmentation color model. The segmentation of the current image is stored in a memory medium. | 08-23-2012 |
20120213433 | OBJECT PROCESSING DEVICE AND OBJECT SELECTION METHOD - A portion within an image in which a plurality of objects ( | 08-23-2012 |
20120219214 | MAPPING COLORS OF AN IMAGE - A method and system for mapping colors of an image. The method including the steps of: segmenting an image into a plurality of regions, so that pixels in each of the plurality of regions have a characteristic that meets a predetermined similarity; determining an initial contrast between adjacent regions in the plurality of regions; and transforming an initial color of each of the plurality of regions into a target color; where a target contrast between the adjacent regions in the plurality of regions is equal to or greater than the initial contrast or a difference between the target contrast and corresponding initial contrast is less than a predetermined threshold; and where at least one of the steps is carried out by a computer device. | 08-30-2012 |
20120237122 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER-READABLE RECORDING DEVICE - An image processing apparatus includes a probability value calculator that calculates, based on color feature data of a pixel included in an image, respective probabilities that the pixel belongs to a specific area and a non-specific area; a weighted edge intensity calculator that calculates a weighted edge intensity between neighboring pixels based on pixel values and color feature data of the pixel included in the image and a neighboring pixel of the pixel; an energy function creator that uses the probabilities and the weighted edge intensity to create an energy function expressed by a result of an area determination of the pixel; and an area divider that divides the image into the plurality of areas based on the energy function. | 09-20-2012 |
20120250985 | Context Constraints for Correcting Mis-Detection of Text Contents in Scanned Images - Misclassified text components are identified and corrected by comparing non-text components with their neighboring text components. If a non-text component being examined is found to be substantially aligned with its neighboring text components, and is further found to have a similar average color and size as its neighboring text components, then it is reclassified as a text component. Misclassified non-text components are reduced by restricting text labeling to areas of a document image defined by an edge map. The edge map is made by smoothing the document image, and applying edge detection to the smooth image. | 10-04-2012 |
20120250986 | IMAGE GENERATION DEVICE, IMAGE GENERATION METHOD, IMAGE GENERATION PROGRAM, AND RECORDING MEDIUM - A mosaic image which encourages users' motivation of continuously browsing mosaic images is generated. An image generation device which generates a mosaic image using as a source image a material image divided into a plurality of divided areas, has: an acquiring means that acquires an image from a terminal device through a network; and a mosaic image generating means that generates a mosaic image by allocating the image acquired by the acquiring means, to one of the divided areas based on color information of the image acquired by the acquiring means and color information of each of the divided areas of the material image used as the source image. After generating the mosaic image, the mosaic image generating means generates a new mosaic image by changing at least one of a number of the divided areas and the material image in response to an increase in a number of images acquired by the acquiring means. | 10-04-2012 |
20120269428 | Mouth Corner Candidates - A device to apply detection schemes to texture information of a face detected within an image to generate mouth corner candidates and identify best matching mouth corners by applying a geometric model to the moth corner candidates. | 10-25-2012 |
20120275694 | System and Method of Foreground-background Segmentation of Digitized Images - A system and method for segmenting foreground and background regions on a digitized image uses a computer, having a processor and system memory, to segment the image into initial regions and identify background regions from the initial regions. A complete background surface is estimated of the image, and pixels of the image are rectified with the estimated background surface to normalize the image. Normalized pixels are compared with a threshold color to determine a final segmentation of background regions. | 11-01-2012 |
20120288188 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER-READABLE MEDIUM - An image processing apparatus comprises: a unit configured to generate a gradation cluster by determining color regions belonging to the same gradation among a plurality of color regions using gradation attribute of boundary, and to generate gradation cluster information including information about a color region belonging to the generated gradation cluster and a gradation type of the gradation cluster; a unit configured to generate a gradation parameter for each gradation region using the color region, the color gradient information, and the gradation cluster information; a unit configured to integrate color regions belonging to the same gradation using the gradation cluster information; and a unit configured to generate a contour vector description based on a color region after integration, and to generate vector data of the gradation region based on the contour vector description and the gradation parameter. | 11-15-2012 |
20120288189 | IMAGE PROCESSING METHOD AND IMAGE PROCESSING DEVICE - An image processing method includes a segmentation step that segments an input image into a plurality of regions by using an automatic segmentation algorithm, and a computation step that calculates a saliency value of one region of the plurality of segmented regions by using a weighted sum of color differences between the one region and all other regions. Accordingly, it is possible to automatically analyze visual saliency regions in an image, and a result of analysis can be used in application areas including significant object segmentation, object recognition, adaptive image compression, content-aware image resizing, and image retrieval. | 11-15-2012 |
20120294519 | Opacity Measurement Using a Global Pixel Set - A computing device is described herein that is configured to select a pixel pair including a foreground pixel of an image and a background pixel of the image from a global set of pixels based at least on spatial distances from an unknown pixel and color distances from the unknown pixel. The computing device is further configured to determine an opacity measure for the unknown pixel based at least on the selected pixel pair. | 11-22-2012 |
20120294520 | GESTURE-BASED VISUAL SEARCH - A user may perform an image search on an object shown in an image. The user may use a mobile device to display an image. In response to displaying the image, the client device may send the image to a visual search system for image segmentation. Upon receiving a segmented image from the visual search system, the client device may display the segmented image to the user who may select one or more segments including an object of interest to instantiate a search. The visual search system may formulate a search query based on the one or more selected segments and perform a search using the search query. The visual search system may then return search results to the client device for display to the user. | 11-22-2012 |
20120294521 | METHOD FOR 3D VIDEO CONTENT GENERATION - A method for 3D video content generation is disclosed, capable of transforming a 2D image into a 3D video through proper operation process. The method comprises the following steps of: (A) receiving a 2D image and generating a ROI distribution map from the 2D image; (B) executing a color feature capture process, for forming a plural of color feature regions; (C) executing an image segmentation process basing on the texture feature of the plural of color feature regions, for forming an image region distribution map; (D) executing a depth map generation process, for generating a depth map basing on the ROI distribution map and the image region distribution map; (E) executing a 3D image generation process, for forming the 3D image basing on the image region distribution map and the depth map; and (F) chaining a plurality of the 3D images to form the 3D video basing on a frame rate. | 11-22-2012 |
20120301017 | SEGMENTING AN IMAGE - A technique includes representing an image to be segmented using a graph including vertices and edges, where a subset of the vertices is marked as belonging to a plurality of objects. The technique includes assigning weights to the edges based at least in part on color probability densities associated with the objects derived from the subset of vertices marked as belonging to the plurality of objects; and segmenting the image, including identifying boundaries of the objects based at least in part on the weights and the graph. | 11-29-2012 |
20120301018 | METHOD FOR IMAGE/VIDEO SEGMENTATION USING TEXTURE FEATURE - A method for image/video segmentation, capable of segmenting an image signal for obtaining plural texture color feature regions, by utilizing both of the advantages carried by the texture feature and the color feature is disclosed. The method comprises the following steps: (A) receiving an image signal including plural image pixels; (B) executing a Gabor filtering process and a value operation process on each of the plural image pixels; (C) designating each of the plural image pixels a corresponding texture feature vector basing on the result of the value operation process; (D) executing a segmentation process on the image signal basing on the texture feature vector of each of the plural image pixels, for obtaining plural texture feature regions; and (E) executing a re-segmentation process on plural color feature regions basing on the distribution of the plural texture feature regions, for obtaining plural texture color feature regions. | 11-29-2012 |
20120301019 | METHOD FOR COLOR FEATURE EXTRACTION - A method for color feature extraction extracts a color feature vector representative of the color of each image pixel contained in an image signal. The method comprises: receiving the image signal; mapping the image signal to a color space model, where the color of each of the plural image pixels is represented by a first parameter, a second parameter, and a third parameter; obtaining an adjusted second parameter; clustering the plural image pixels into plural color regions or plural fuzzy regions of a color plane of the color space model; and designating the color feature vector to each of the plural image pixels based on the clustering result. | 11-29-2012 |
20120308125 | MAPPING COLORS OF AN IMAGE - A method and system for mapping colors of an image. The method including the steps of: segmenting an image into a plurality of regions, so that pixels in each of the plurality of regions have a characteristic that meets a predetermined similarity; determining an initial contrast between adjacent regions in the plurality of regions; and transforming an initial color of each of the plurality of regions into a target color; where a target contrast between the adjacent regions in the plurality of regions is equal to or greater than the initial contrast or a difference between the target contrast and corresponding initial contrast is less than a predetermined threshold; and where at least one of the steps is carried out by a computer device. | 12-06-2012 |
20120314942 | DETERMINING FOREGROUND REGIONS AND BACKGROUND REGIONS IN AN IMAGE - A system for providing augmented reality detects foreground occluders in an image of a video stream. One or more virtual objects are then rendered appropriately with respect to the occluders. Location information associated with the image is used to retrieve a three dimensional representation of the location where the image was taken. Features that are expected to appear in the image based on the three dimensional location but that cannot be located are used to determine regions of the image that are likely to include foreground occluders. Pixels in these regions are used to train a color model that classifies pixels as either part of the background of the image or part of one or more foreground occluders. The pixels in the image are classified using the model, and one or more virtual objects are rendered so that they appear behind any foreground occluders. | 12-13-2012 |
20120328186 | METHOD FOR IMPROVING THE VISUAL PERCEPTION OF A DIGITAL IMAGE - The method for improving the visual perception of a digital image may comprise dividing the digital image into repetitive areas, and modifying the tone curve and/or the histogram of each area to improve the visual perception of the corresponding area. Lastly, the joins between adjacent areas may be smoothed. | 12-27-2012 |
20120328187 | Text analysis and visualization - The present invention is a method and system for providing a user with an interface for viewing patent data. In one aspect, certain terms in the patent text are automatically underlined with lines of different types. Each term has an associated line type. User can remove or change underlines. In still another aspect, favicons showing the last three digits of the patent number are used to easily identify which tab corresponds to which patent. In yet another aspect, patent figures are displayed with normal orientation or rotated clockwise. In yet another aspect, an interface is provided for opening multiple patents at the same time. | 12-27-2012 |
20130004063 | IMAGE PROCESSING METHOD, IMAGE PROCESSING SYSTEM AND DISPLAY DEVICE - An image processing method is provided, which includes a step of separating an object image into an object region and a background region, a step of calculating a gray scale value of an average color of the object region, a step of calculating a gray scale value of an inversion color of the object region by using the gray scale value of the average color, and a step of calculating a gray scale value of a background region of a processed image by using the gray scale value of the inversion color and a gray scale value of the background region of the object image. | 01-03-2013 |
20130004064 | IMAGE DATA PROCESSING DEVICE, METHOD, PROGRAM AND INTEGRATED CIRCUIT - When photographing images including a person's face at an event, photographers tend to photograph images so that features of the event appear in a region around the person's face. An image data processing device of the present invention extracts image feature information so that an image feature calculated based on pixels in the region around the person's face, which tends to represent features of an event, is reflected more than that calculated based on pixels in a region remote from the person's face, which tends not to represent features of an event. This allows the image data processing device to calculate image feature information reflecting features of an event more than that calculated by a conventional image data processing device. The image data processing device therefore improves classification precision compared to the conventional device when classifying images using the image feature information calculated by the image data processing device. | 01-03-2013 |
20130011054 | COLOR SEGMENTING A RASTER IMAGE - An apparatus for processing a raster image comprising a plurality of pixels is disclosed. The apparatus comprises a non-transitory computer readable medium for storing steps of a computer program, and a computer processor connected to the non-transitory computer readable medium for executing the steps of the computer program. A plurality of horizontal axial blobs are identified in the raster image, a plurality of vertical axial blobs are identified in the raster image, and the horizontal and vertical axial blobs are linked into a feature blob. | 01-10-2013 |
20130016902 | IMAGE DATA PROCESSING DEVICE, IMAGE FORMING APPARATUS, AND RECORDING MEDIUMAANM Suino; TooruAACI KanagawaAACO JPAAGP Suino; Tooru Kanagawa JP - An image data processing device processes structured image data including background image data representing a background image, foreground image data representing a foreground image indicating a color and a gross shape, and mask data representing a mask image specifying a prescribed area of the foreground image to be overlaid on the background image. The image data processing device lightens a shade of the background image by applying background color lightening processing to the background data, and lightens a shade of the foreground image less than the shade of the background image by applying foreground color lightening processing to the foreground data. | 01-17-2013 |
20130051663 | Fast Adaptive Edge-Aware Matting - Methods, apparatus, and computer-readable storage media for fast adaptive edge-aware matting in which a matting technique adaptively feathers selections, provides smooth color correspondence matting, and performs well in textured regions. The matting technique may require fewer strokes and less parameter tuning than conventional matting techniques. The matting technique may have two components implemented in a matting pipeline. A color similarity component implements a color similarity constraint technique based on a radial basis function (RBF) technique to generate a color-constrained mask, and a locality constraint component implements a locality constraint technique based on a fast flood fill technique to generate a locality-constrained mask. The final mask (or matte) output may be an element multiply of the masks generated by the two components. | 02-28-2013 |
20130071016 | SHADOW DETECTION IN A SINGLE IMAGE - A digital image is divided into patches of pixels, or “superpixels”, where each of the pixels in the patch has approximately the same color value and each of the patches is of approximately the same size. Subsequently, eigenvalues are generated for each patch based on the color values of the individual pixels in the patch, as expressed in a multidimensional color-space. A ratio between the first largest eigenvalue and the second largest eigenvalue for each patch is determined and is then, subsequently, normalized, either based on the intensity of the corresponding patch or normalized to a range between zero and one. The resulting values are compared to a threshold to identify those regions of the digital image that are deemed to be in shadow, thereby generating a shadow mask for the digital image, or are weighted to generate a shadow probability mask. | 03-21-2013 |
20130083997 | TEMPORALLY STRUCTURED LIGHT - A method employing temporally structured light during scene production such that foreground/background separation/differentiation is enabled. According to an aspect of the present disclosure, the temporally structured light differentially illuminates various regions, elements, or objects within the scene such that these regions, elements or objects may be detected, differentiated, analyzed and/or transmitted as desired and/or required. | 04-04-2013 |
20130101208 | BACKGROUND UNDERSTANDING IN VIDEO DATA - Long-term understanding of background modeling includes determining first and second dimension gradient model derivatives of image brightness data of an image pixel along respective dimensions of two-dimensional, single channel image brightness data of a static image scene. The determined gradients are averaged with previous determined gradients of the image pixels, and with gradients of neighboring pixels as a function of their respective distances to the image pixel, the averaging generating averaged pixel gradient models for each of a plurality of pixels of the video image data of the static image scene that each have mean values and weight values. Background models for the static image scene are constructed as a function of the averaged pixel gradients and weights, wherein the background model pixels are represented by averaged pixel gradient models having similar orientation and magnitude and weights meeting a threshold weight requirement. | 04-25-2013 |
20130101209 | METHOD AND SYSTEM FOR EXTRACTION AND ASSOCIATION OF OBJECT OF INTEREST IN VIDEO - The present disclosure relates to an image and video processing method, and in particular, to a two-phase-interaction-based extraction and association method for an object of interest in a video. In the method, a user performs coarse positioning interaction by an interactive method which is not limited to a normal manner and has a low requirement for prior knowledge; based on this, a certain extraction algorithm which is fast and easy to implement is adopted to perform multi-parameter extraction on the object of interest. In the method, on the basis of mining video information fully and ensuring user preference, in a manner where the viewing of the user is not affected, associate value-added information with the object which the user is interested in, thereby meeting the user's requirement for deeply knowing and further exploring an attention area. | 04-25-2013 |
20130121569 | Methods and Apparatus for Blending Images - Methods and apparatus for blending regions from multiple images to produce a blended image. An image blending module may obtain multiple digital images of a scene. A base image and a source image are selected, and a stroke is applied to the source image to indicate a desired region which is to be blended with the base image. A region in the source image is identified from the stroke using a segmentation technique such as a graph cut algorithm, and the identified region is blended with the corresponding region of the base image, for example using alpha blending. Additional strokes may be applied to the source image to select other regions to be blended with the base image. A different image may be selected as a source image, and a region from the different image may be selected for blending with the base image. | 05-16-2013 |
20130129205 | Methods and Apparatus for Dynamic Color Flow Modeling - Methods, apparatus, and computer-readable storage media for dynamic color flow modeling. A dynamic color flow model that incorporates motion estimation in a probabilistic fashion is described. By automatically and adaptively changing model parameters based on the inferred local motion uncertainty, the dynamic color flow model accurately and reliably models the object appearance, and improves the foreground color probability estimation when compared to conventional methods. The dynamic color flow model may, for example, be applied to both foreground and background layers (or to additional layers) for video object segmentation, obtaining significantly improved results when compared to conventional methods. | 05-23-2013 |
20130129206 | Methods and Apparatus for Improved Display of Foreground Elements - A set of pixels of a background element is identified according to a mask that defines a shape of a foreground element. A color value for a pixel of the foreground element is determined. The determining includes ascertaining a value of a measure of brightness of one or more pixels of a set of pixels of the background element and calculating the color value for the pixel of the foreground element based on the value of the measure of brightness and a value of an adjustable contrast variable. The calculating the color value for the pixel of the foreground element preserves in the foreground element a color component of the one or more pixels of the set of pixels of the background element and increases contrast with the value of the measure of brightness according to the value of the adjustable contrast variable. | 05-23-2013 |
20130136348 | METHOD AND SYSTEM FOR GENERATING INTRINSIC IMAGES USING A SINGLE REFLECTANCE TECHNIQUE - An automated, computerized method is provided for processing an image. The method includes the steps of providing an image file depicting an image, in a computer memory, identifying a dominant region of single reflectance in the image and segregating the image into intrinsic images as a function of the dominant region of single reflectance. | 05-30-2013 |
20130142425 | SYSTEM AND METHOD OF DETECTING ABNORMAL SEGMENTS OF VIDEO - A system and a method of detecting abnormal or security-significant segments of a video are provided. The video is divided into several segments. A set of features of each segment of the video is extracted in order to calculate a set of factors corresponding to each segment. A value deemed abnormal of each segment is calculated according to the set of factors corresponding to each segment. One or more abnormal segments are determined from the segments based on the abnormal values. The set of features includes a color variable feature, a movement variable feature, a movement variable ratio feature and a background variable feature. | 06-06-2013 |
20130148882 | DETECTING OBJECTS IN IMAGES USING COLOR HISTOGRAMS - Methods, apparatus and articles of manufacture for detecting objects in images using color histograms are disclosed. An example method disclosed herein comprises segmenting an image into sets of subregions, different sets having at least one of different subregion sizes or different subregion offsets relative to one another, determining a first comparison metric quantifying comparison of a first subregion with the object based on differences between bin values of a second color histogram corresponding to the object and adjusted bin values of a first color histogram corresponding to the first subregion, determining a second comparison metric quantifying comparison of a second subregion with the object, and comparing the first and second comparison metrics with a threshold to identify at least one of the subregions as being associated with a possible location of the object in the image. | 06-13-2013 |
20130156305 | SYSTEM AND METHOD FOR THE DETECTION OF ANOMALIES IN AN IMAGE - Preferred aspects of the present invention can include receiving a digital image at a processor; segmenting the digital image into a hierarchy of feature layers comprising one or more fine-scale features defining a foreground object embedded in one or more coarser-scale features defining a background to the one or more fine-scale features in the segmentation hierarchy; detecting a first fine-scale foreground feature as an anomaly with respect to a first background feature within which it is embedded; and constructing an anomalous feature layer by synthesizing spatially contiguous anomalous fine-scale features. Additional preferred aspects of the present invention can include detecting non-pervasive changes between sets of images in response at least in part to one or more difference images between the sets of images. | 06-20-2013 |
20130156306 | IMAGE PROVIDING DEVICE, IMAGE PROCESSING METHOD, IMAGE PROCESSING PROGRAM, AND RECORDING MEDIUM - Even a mosaic image in an uncompleted state, it makes a mosaic image having high recognizability of a picture of an original image displayed. An image providing device includes an image acquisition means that acquires an image specified by a user, a candidate determination means that, on the basis of color information of the acquired image and color information of the regions, determines regions to be candidates for a region to which the acquired image is assigned, an edge degree acquisition means that acquires edge degrees indicating degrees of edges in the regions determined as the candidates, an assignment determination means that, on the basis of the acquired edge degrees, determines a region to which the acquired image is assigned from the regions determined as the candidates, and a presentation means that, on the basis of assignment determined by the assignment determination means, causes a mosaic image in which the acquired image is placed to be presented. | 06-20-2013 |
20130163862 | IMAGE PROCESSING METHOD AND DEVICE FOR REDEYE CORRECTION - An image processing method and a device for redeye correction are provided. In the method, a face region of a pending image is received and detected. At least one region of interest (ROI) is set in the face region. The ROI is segmented according to a color model so as to produce a plurality of candidate regions. Each of the candidate regions is filtered separately according to a candidate region filtering method. It is determined whether a color candidate region is produced after filtering. If yes, luminance values of a plurality of pixels in the ROI are calculated by a contrast mask. The ROI is segmented by using a calculated luminance distribution so as to produce a high contrast candidate region. An overlapped portion between the color and the high contrast candidate regions is taken as a redeye region, and the redeye region is corrected to produce a corrected image. | 06-27-2013 |
20130170741 | METHODS AND SYSTEMS FRO EXTRACTION OF DATA FROM ELECTRONIC IMAGES OF DOCUMENTS - A system for extracting data from a document may include a memory, an interface, and a processor. The processor may identify one or more landmarks based on predefined characteristics that are associated with known landmarks. After one or more landmarks are defined, business rules may indicate one or more areas that may contain data to be extracted. The business rules may also indicate the type of data in the area and processing methods that may be used to extract the data. After determining the business rules, the processor may determine whether the data is in the area and/or extract the data. | 07-04-2013 |
20130170742 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - A technique capable of more suitably extracting a foreground region from an image including the foreground region and a background region is provided. The image processing apparatus comprises: a reliability derivation unit configured to derive a reliability of a distance information of a pixel of interest based on a color information and the distance information of the pixel of interest and a neighbor pixel of the pixel of interest; a parameter derivation unit configured to derive a parameter concerning a type of a region for the pixel based on the color information and the distance information of the pixel and the obtained reliability of the distance information; and a determination unit configured to determine a foreground region in the image using the derived parameter for each pixel of the image. | 07-04-2013 |
20130170743 | Detecting Illumination in Images - An image having m light sources, with m preferably equaling 2 or 3, is segmented into different regions, each of which is lit by only one of the m light sources, by obtaining paired imaged with different filtering, for example a filtered and an unfiltered image, applying to the image pairs sets of m pre-computed mappings at the pixel or region level, and selecting the most appropriate. The rendering of the information in the image maybe adjusted accordingly. | 07-04-2013 |
20130188864 | Mixed Media Reality Recognition Using Multiple Specialized Indexes - An MMR system for searching across multiple indexes comprises a plurality of mobile devices, a pre-processing server or MMR gateway, and an MMR matching unit, and may include an MMR publisher. The MMR matching unit receives an image query from the pre-processing server or MMR gateway and sends it to one or more of the recognition units to identify a result including a document, the page and the location on the page. The MMR matching unit includes a segmenter for segmenting received images by content type, a distributor for distributing the images to corresponding content type index tables, and an integrator for integrating recognition results. The result is returned to the mobile device via the pre-processing server or MMR gateway. The present invention also includes a number of novel methods including a method for processing content-type specific image queries and for processing queries across multiple indexes. | 07-25-2013 |
20130188865 | IMAGE BINARIZATION BASED ON GREY MEMBERSHIP PARAMETER OF PIXELS - Briefly, in accordance with one aspect, a method of binarizing an image is provided. The method includes partitioning the image into a plurality of image segments, each image segment having a plurality of image pixels and partitioning each of the image segments into subsegments, each image subsegment having a plurality of image pixels. The method also includes estimating a grey membership parameter for each image pixel for each of the plurality of image segments and subsegments, combining the grey membership parameter for each of the plurality of image pixels from each of the plurality of image segments and subsegments to estimate a net grey membership parameter for each image pixel and assigning black or white color to each of the plurality of image pixels based on the estimated net grey membership parameter of the respective pixel. | 07-25-2013 |
20130208979 | Foreground / Background Separation In Digital Images - A method for providing improved foreground/background separation in a digital image of a scene is disclosed. The method comprises providing a first map comprising one or more regions provisionally defined as one of foreground or background within the digital image; and providing a subject profile corresponding to a region of interest of the digital image. The provisionally defined regions are compared with the subject profile to determine if any of the regions intersect with the profile region. The definition of one or more of the regions in the map is changed based on the comparison. | 08-15-2013 |
20130223729 | IDENTIFYING POINTS OF INTEREST IN AN IMAGE - Points of interest are identified in an image to characterise that image by dividing the image tiles, each tile including adjacent pixels. The position of a pixel with an extremum value is determined or located within each tile and that extremal value is ascribed to the tile. A tile with an extremal value which is more extreme than that of all adjacent tiles is identified; and the position within the image of the pixel with the extremum value in that identified tile is selected as the point of interest. | 08-29-2013 |
20130230237 | METHOD AND APPARATUS FOR BI-LAYER SEGMENTATION - A method and an apparatus for bi-layer segmentation of an image or a sequence of images are described. A classifier is derived based on depth data of the image and another classifier is derived based on color data of the image. The image is then segmented by maximizing a weighted sum of matching scores derived from the classifiers based on depth data and color data of the image. The classifier based on color data of the image is derived using color sampling subsequent to generating an initial segmentation of the image. | 09-05-2013 |
20130230238 | REGISTRATION OF SEPARATIONS - Separations or images relating to film or other fields may be registered using a variety of features, such as, for example: (1) correcting one or more film distortions; (2) automatically determining a transformation to reduce a film distortion; (3) applying multiple criteria of merit to a set of features to determine a set of features to use in determining a transformation; (4) determining transformations for areas in an image or a separation in a radial order; (5) comparing areas in images or separations by weighting feature pixels differently than non-feature pixels; (6) determining distortion values for transformations by applying a partial distortion measure and/or using a spiral search configuration; (7) determining transformations by using different sets of features to determine corresponding transformation parameters in an iterative manner; and (8) applying a feathering technique to neighboring areas within an image or separation. | 09-05-2013 |
20130230239 | Object Segmentation at a Self-Checkout - Techniques for segmenting an object at a self-checkout are provided. The techniques include capturing an image of an object at a self-checkout, dividing the image into one or more blocks, computing a confidence value for each of the one or more blocks, and eliminating one or more blocks from consideration based on the confidence value for each of the one or more blocks, wherein the one or more blocks remaining map to a region of the image containing the object. | 09-05-2013 |
20130236092 | Modified Propagated Last Labeling System and Method for Connected Components - Embodiments disclosed include methods and systems for assigning one or more labels to one or more segments of data received in an incoming segment to a line buffer for propagated component labeling, including preventing repeated labels in each line of the line buffer by assigning a different label for each of the one or more segments of data received in each line; labeling the incoming segment of the one or more segments of data by adopting a label of an overlapping segment on a prior received line when the overlapping segment does not overlap any other segment of data; labeling the incoming segment of the one or more segments of data by adopting a label of an overlapping segment on a prior received line when the overlapping segment overlaps more than one segment on the incoming segment when the segment is a first segment in the line buffer; and labeling the incoming segment of the one or more segments of data by adopting a label of a last overlapping segment when more than one segment overlaps the incoming segment. | 09-12-2013 |
20130243311 | SYSTEMS AND METHODS FOR COUNTING AND PROCESSING PLIABLE OBJECTS - Systems and methods for counting and processing pliable objects are disclosed. A vision system may capture an inspection image of a plurality of pliable objects. The inspection image may be partitioned into a plurality of windows traversing the inspection image. For each individual window of the plurality of windows, a blob extraction process is performed to determine a plurality of blobs corresponding to regions within the inspection image having substantially the second luminance value range such that the plurality of blobs correspond to the plurality of pliable objects. The blobs are counted for each window to determine a total number of pliable objects in the plurality of pliable objects. | 09-19-2013 |
20130243312 | COLOR DISTANCE MEASUREMENT APPARATUS, COLOR DISTANCE MEASUREMENT METHOD, AND PROGRAM - A color distance measurement apparatus includes: a first transformation section that transforms first color pixel data and second color pixel data in a predetermined color space into a deformed HSV color space; a second transformation section that transforms the first color pixel data and the second color pixel data transformed into the deformed HSV color space into a three-dimensional x, y, z coordinate representation; and a color distance measurement section that measures a relative color distance between the first color pixel data and the second color pixel data on the basis of the first color pixel data and the second color pixel data transformed into the x, y, z coordinate representation. In the deformed HSV color space, maximum saturation is larger than maximum saturation in an HSV color space for a cone model at lightness between maximum lightness and minimum lightness, and the saturation is 0 at the minimum lightness. | 09-19-2013 |
20130243313 | METHOD AND SYSTEM FOR IMAGES FOREGROUND SEGMENTATION IN REAL-TIME - The method comprises:
| 09-19-2013 |
20130243314 | METHOD AND SYSTEM FOR REAL-TIME IMAGES FOREGROUND SEGMENTATION - The method comprises:
| 09-19-2013 |
20130251250 | IMAGE PROCESSING APPARATUS AND NON-TRANSITORY COMPUTER READABLE MEDIUM - An image processing apparatus includes a representative color calculation unit, a color displacement calculation unit, and a similarity calculation unit. The representative color calculation unit calculates a representative color which is representative of colors in a first region having a predetermined size in an image. The color displacement calculation unit calculates, as a color displacement, a difference between the representative color calculated by the representative color calculation, unit and a color in a target second region in the first region. The similarity calculation unit calculates similarity between the color displacement calculated by the color displacement calculation unit and a predetermined color displacement in an information image representing information embedded in the image. | 09-26-2013 |
20130259363 | IMAGE PROCESSING DEVICE GENERATING BINARY IMAGE DATA BY SELECTING SPECIFIC COMPONENT - An image processing device includes a processor configured to perform: acquiring target image data representing a target image; and generating binary image data representing the letter in the target image by using the target image data. The generating of the binary image data comprises: identifying a background color value representing color of background of the target image; identifying a letter color value representing color of the letter in the target image; acquiring a difference between the background color value and the letter color value, the difference including a plurality of component differences; selecting one specific component image data corresponding to a specific component from among the plurality of components, the specific component corresponding to a maximum component difference among the plurality of component differences; and performing a binarizing process on the selected one specific component image data to generate one binary image data. | 10-03-2013 |
20130259364 | IMAGE PROCESSING APPARATUS AND CONTROL METHOD THEREFOR - An image processing apparatus according to the present invention comprises: an acquisition unit that acquires a statistical value of pixel values for each divided region; a determination unit that compares for each divided region the statistical value of the divided region acquired by the acquisition unit with a first threshold and determines whether the divided region is as color region or a monochrome region; and a re-determination unit that compares a statistical value of an adjacent divided region with a second threshold, by which a divided region is more likely determined as a color region than by the first threshold, for each adjacent divided region, and re-determines whether the adjacent divided region is a color region or a monochrome region. | 10-03-2013 |
20130259365 | IMAGE PROCESSING APPARATUS AND CONTROL METHOD THEREFOR - An image processing apparatus according to the present invention determines a monochrome area and a color area of an input image. The apparatus comprises an acquisition unit that acquires an image characteristic value of the input image; and a determination unit that determines whether each pixel group in the input image is a monochrome area or a color area based on the image characteristic value acquired by the acquisition unit, wherein the acquisition unit acquires a plurality of image characteristic values corresponding to a plurality of acquisition areas including a determination target pixel group, and the determination unit determines whether the pixel group is a monochrome area or a color area based on the plurality of image characteristic values corresponding to the plurality of acquisition areas including the pixel group. | 10-03-2013 |
20130259366 | IMAGE PROCESSING APPARATUS, COMPUTER-READABLE STORAGE MEDIUM STORING COMPUTER-READABLE INSTRUCTIONS AND ASSOCIATED METHOD - An image processing apparatus may create text image data representing a text image, based on target image data representing a target image including text. The image processing apparatus may determine an extended text area in the target image based on information related to a sharpness of the text included in the target image. The extended text area may include a text area corresponding to pixels constituting text in the text image represented by the created text image data, and also include a surrounding area around the text area. The image processing apparatus may change a color of the extended text area to a color of a background of the target image to create background image data. | 10-03-2013 |
20130266216 | IMAGE PROCESSING APPARATUS AND NON-TRANSITORY COMPUTER READABLE MEDIUM - An image processing apparatus includes a first extraction unit, a second extraction unit, a third extraction unit, a determination unit, a correction unit, and a color quantization unit. The first extraction unit extracts from an image a region and color of an information image. The second extraction unit extracts a color of a peripheral image surrounding the extracted region. The third extraction unit extracts information necessary for color quantization processing. The determination unit determines whether a color difference between the extracted color of the information image and the extracted color of the peripheral image falls within a predetermined range when color quantization processing is based on the extracted information. The correction unit corrects a representative color if it is determined that the color difference does not fall within the predetermined range. The color quantization unit performs color quantization processing on the image on the basis of the corrected representative color. | 10-10-2013 |
20130266217 | SYSTEM AND METHOD FOR NORMALIZATION AND CODIFICATON OF COLORS FOR DYNAMIC ANALYSIS - A system and method for normalizing and codifying divergent color systems into a single universal color system. The middleware engine receives a data feed comprising a plurality of color swatches or images from one or more merchant system and normalizes the data feed into a common format. The dominant processor extracts the product images from the normalized data, segments each product image into segments, determines a dominant color for each segment, and determines the dominant product color for each product image based on prevalence of the dominant product color in each segment. The matched color processor converts the determined dominant product color into a digital value of the universal color system based on the color component intensity values. | 10-10-2013 |
20130272602 | METHOD AND APPARATUS FOR PROCESSING SCANNED IMAGE - The present invention relates to a method and apparatus for processing a scanned image. The method for processing a scanned image comprises: a shaded region extracting step of extracting a region, which is shaded by a shading object and lies in a margin in the vicinity of an edge of the scanned image, as a shaded region; and a pixel value repairing step of repairing values of pixels, which lie both in a line segment and the shaded region, by using a linear model according to known values of pixels, which lie both in the line segment and the margin, the line segment passing through the shaded region and being parallel to the edge. | 10-17-2013 |
20130279801 | METHOD AND APPARATUS FOR IMAGE SEGMENTATION - A method and an apparatus for multi-label segmentation of an image are described. In a first step user defined labels are determined for one or more pixels of the image. Then a fraction of the pixels of the image for which no user defined label is determined is pre-initialized. Finally, a cellular automaton-based segmentation of the image is performed using the user defined labels and the pre-initialized pixels. | 10-24-2013 |
20130308856 | Background Detection As An Optimization For Gesture Recognition - Methods and systems are provided allowing for background identification and gesture recognition in video images. A computer-implemented image processing method includes: receiving, using at least one processing circuit, a plurality of image frames of a video; constructing, using at least one processing circuit, a plurality of statistical models of the plurality of image frames at a plurality of pixel granularity levels; constructing, using at least one processing circuit, a plurality of probabilistic models of an input image frame at a plurality of channel granularity levels based on the plurality of statistical models; merging at least some of the plurality of probabilistic models based on a weighted average to form a single probability image; determining background pixels, based on a probability threshold value, from the single probability image; and determining whether the plurality of image frames, when examined in a particular sequence, conveys a gesture by the object. | 11-21-2013 |
20130308857 | METHOD, APPARATUS AND COMPUTER PROGRAM PRODUCT FOR COMPENSATING EYE COLOR DEFECTS - A red-eye detection and correction method comprises computing a first difference image based on a difference between red pixel intensity and green pixel intensity of a set of pixels ( | 11-21-2013 |
20130322747 | IMAGE PROCESSING DEVICE CORRECTING COLOR OF BORDER REGION BETWEEN OBJECT AND BACKGROUND IN IMAGE - An image processing device includes a processor and a memory. The memory stores computer-readable instructions therein. The computer-readable instructions, when executed by the processor, causes the image processing device to perform: acquiring image data indicative of an image including an object image and a background image adjacent to the object image, the object image and the background image defining a border region in a border of the object image and the background image; acquiring at least two of a first characteristic value, a second characteristic value, and a brightness of the border region, the first characteristic value relating to a color of the object image, the second characteristic value relating to a color of the background image; and correcting a color of the border region by using the at least two of the first characteristic value, the second characteristic value, and the brightness of the border region. | 12-05-2013 |
20140003711 | FOREGROUND EXTRACTION AND DEPTH INITIALIZATION FOR MULTI-VIEW BASELINE IMAGES | 01-02-2014 |
20140003712 | Methods of Content-Based Image Identification | 01-02-2014 |
20140003713 | AUTOMATIC GAIN CONTROL FILTER IN A VIDEO ANALYSIS SYSTEM | 01-02-2014 |
20140003714 | GESTURE-BASED VISUAL SEARCH | 01-02-2014 |
20140023267 | CHARACTER STRING DETECTION DEVICE, IMAGE PROCESSING DEVICE, CHARACTER STRING DETECTION METHOD, CONTROL PROGRAM AND STORAGE MEDIUM - A character string detection device for detecting a character string including at least one character in an image has a clustering unit that defines at least one cluster including at least a fixed number of pixel groups having similar colors based on color information included in each pixel configuring the image, a clipping unit that partitions the image into a region of the pixel groups belonging to the cluster defined by the clustering unit and a region of other pixel groups, and generating a clipped image excluding the region of the other pixel groups from the image, and a character string detection unit that detects each character in a detection target character string to be detected so as to detect the detection target character string in the clipped image generated by the clipping unit. | 01-23-2014 |
20140029841 | MAPPING COLORS OF AN IMAGE - A method and system for mapping colors of an image. The method including the steps of: segmenting an image into a plurality of regions, so that pixels in each of the plurality of regions have a characteristic that meets a predetermined similarity; determining an initial contrast between adjacent regions in the plurality of regions; and transforming an initial color of each of the plurality of regions into a target color; where a target contrast between the adjacent regions in the plurality of regions is equal to or greater than the initial contrast or a difference between the target contrast and corresponding initial contrast is less than a predetermined threshold; and where at least one of the steps is carried out by a computer device. | 01-30-2014 |
20140029842 | MAPPING COLORS OF AN IMAGE - A method and system for mapping colors of an image. The method including the steps of: segmenting an image into a plurality of regions, so that pixels in each of the plurality of regions have a characteristic that meets a predetermined similarity; determining an initial contrast between adjacent regions in the plurality of regions; and transforming an initial color of each of the plurality of regions into a target color; where a target contrast between the adjacent regions in the plurality of regions is equal to or greater than the initial contrast or a difference between the target contrast and corresponding initial contrast is less than a predetermined threshold; and where at least one of the steps is carried out by a computer device. | 01-30-2014 |
20140044350 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM - An image processing apparatus includes an extraction unit and a calculation unit. The extraction unit extracts a local color displacement that is a local displacement of color in a region of interest in a given image. The calculation unit calculates a similarity between the local color displacement and an extracted-color displacement that is a displacement of a preset color. | 02-13-2014 |
20140056514 | METHOD FOR PROCESSING MULTIPLE IMAGES OF A SAME SCENE - An automated, computerized method is provided for processing an image. The method comprises the steps of providing a sequence of image files depicting images of a same scene, in a computer memory, determining correspondence information relevant to the same scene across the sequence of images, and generating individual intrinsic images for each one of the sequence of images, as a function of the correspondence information. | 02-27-2014 |
20140056515 | AUTOMATIC BACKGROUND IDENTIFICATION IN VIDEO IMAGES - Methods and systems are provided allowing for background identification in video images. A computer-implemented image processing method includes: receiving, using at least one processing circuit, a plurality of image frames of a video; constructing, using at least one processing circuit, a plurality of statistical models of the plurality of image frames at a plurality of pixel granularity levels; constructing, using at least one processing circuit, a plurality of probabilistic models of an input image frame at a plurality of channel granularity levels based on the plurality of statistical models; merging at least some of the plurality of probabilistic models based on a weighted average to form a single probability image; and determining background pixels, based on a probability threshold value, from the single probability image. | 02-27-2014 |
20140072211 | IMAGE DETECTION AND PROCESSING FOR BUILDING CONTROL - Occupancy detection for building environmental control is disclosed. One apparatus includes at least one image sensor and a controller, wherein the controller is operative to obtain a plurality of images from the at least one image sensor, determine a color difference image of a color difference between consecutive images of the plurality of images, determining an area of the color difference image wherein the color difference is greater than a threshold, create an occupancy candidate based on filtering of the determined area if the determined area is less than light change threshold, generate one or more centroids that represent areas of the occupancy candidate that are greater than a second threshold, track the one or more centroids over a period of time, detect occupancy if one or more of the centroids is detected to have moved more than a movement threshold over the period of time. | 03-13-2014 |
20140072212 | METHOD AND APPARATUS FOR BILAYER IMAGE SEGMENTATION - A method and an apparatus for bilayer image segmentation are described. A set of segmentation seeds for the image is generated by analyzing a depth histogram of the image. Then a segmentation map is generated by minimizing an objective function, which models a directed flow from the foreground segmentation seeds towards the background segmentation seeds. | 03-13-2014 |
20140093163 | PERCEPTUALLY LOSSLESS COLOR COMPRESSION - A system and method of color data compression may perform variations of MRC compression including taking into consideration means and/or variances within k×k cells of an image, background texture, background smoothed color, and gradient components for determination of which parts of an image belong to the background and foreground MRC layers, for calculating thresholds values for such determinations, and determining correctness of determined thresholds and polarity, and may determine the background and foreground layer colors based on the variances, the gradient components, and neighboring pixels of non-color-assigned pixels of the background and foreground layers. | 04-03-2014 |
20140099021 | IMAGE PROCESSING METHOD FOR REMOVING MOVING OBJECT AND ELECTRONIC DEVICE - An image processing method for removing a moving object includes an input step of inputting input images; a matching step of matching the input images according to corresponding positions; a determining step of determining a background image from the input images; a marking step of marking at least one moving object from at least one of the input images; and a replacing step of replacing a region, occupied by the moving object in at least one of the input images with a corresponding regional background in another input image. | 04-10-2014 |
20140099022 | IMAGE COLOR MATCHING AND EQUALIZATION DEVICES AND RELATED METHODS - Disclosed herein are image color matching and equalization devices and related methods. According to an aspect, a method may include determining overlapping portions of a scene within first and second images of the scene. The method may include generating an array of color channel differences between the overlapping portions. Further, the method may include applying a quantization technique to the array of color channel differences for creating a sparse difference color matrix. The method may also include identifying empty locations of the sparse matrix and computing interpolated difference color values to fill them. Further, the method may include modifying the color of at least one pixel of one of the images by performing an inverse look-up in the sparse table utilizing its color, identifying the color difference on the corresponding entry, and applying the color difference on the target pixel. | 04-10-2014 |
20140105490 | METHOD FOR IMAGE PROCESSING USING LOCAL STATISTICS CONVOLUTION - A method for filtering a digital image, comprising segmenting the digital image into a plurality of tiles; computing tile histograms corresponding to each of the plurality of tiles; deriving a plurality of tile transfer functions from the tile histograms preferably using 1D convolutions; interpolating a tile transfer function from the plurality of tile transfer functions; and filtering the digital image with the interpolated tile transfer function. Many filters otherwise difficult to conceive or to implement are possible with this method, including an edge-preserving smoothing filter, HDR tone mapping, edge invariant gradient or entropy detection, image upsampling, and mapping coarse data to fine data. | 04-17-2014 |
20140119643 | Image Matting and Alpha Value Techniques - Image matting and alpha value techniques are described. In one or more implementations, techniques are described in which matting operations are applied to image data that is in a raw or substantially raw image format. This may be used to decompose image data into foreground and background images as well as to generate an alpha value that describes a linear combination of the foreground and background images for a respective pixel. Further, implementations are also described in which a plurality of alpha values is generated for each of a plurality of pixels. These alpha values may be utilized to support a variety of different functionality, such as matting operations and so on. | 05-01-2014 |
20140133746 | BACKGROUND UNDERSTANDING IN VIDEO DATA - Long-term understanding of background modeling includes determining first and second dimension gradient model derivatives of image brightness data of an image pixel along respective dimensions of two-dimensional, single channel image brightness data of a static image scene. The determined gradients are averaged with previous determined gradients of the image pixels, and with gradients of neighboring pixels as a function of their respective distances to the image pixel, the averaging generating averaged pixel gradient models for each of a plurality of pixels of the video image data of the static image scene that each have mean values and weight values. Background models for the static image scene are constructed as a function of the averaged pixel gradients and weights, wherein the background model pixels are represented by averaged pixel gradient models having similar orientation and magnitude and weights meeting a threshold weight requirement. | 05-15-2014 |
20140140613 | APPARATUS AND METHOD FOR PROCESSING COLOR IMAGE USING DEPTH IMAGE - Provided is an image processing apparatus and method for adjusting a color image using a depth image. The image processing apparatus may include a color image segmenting unit to segment a color image into a plurality of color segments, using a color layer of the color image, a depth image segmenting unit to segment a depth image into a plurality of depth segments, using a depth layer of the depth image, and a layer boundary adjusting unit to adjust a boundary value of the color layer, using the plurality of color segments and the plurality of depth segments. | 05-22-2014 |
20140147035 | HAND GESTURE RECOGNITION SYSTEM - A cost-effective and computationally efficient hand gesture recognition system for detecting and/or tracking a face region and/or a hand region in a series of images. A skin segmentation model is updated with skin pixel information from the face and iteratively applied to the pixels in the hand region, to more accurately identify the pixels in the hand region given current lighting conditions around the image. Shape features are then extracted from the image, and based on the shape features, a hand gesture is identified in the image. The identified hand gesture may be used to generate a command signal to control the operation of an application or system. | 05-29-2014 |
20140147036 | IMAGE PROCESSING APPARATUS - Regarding a color difference between a color of an original image on a pixel other than a connection pixel set in a rectangular area that is an inside area of a rectangle circumscribed to the connection pixel set and a color of the original image on a pixel in the connection pixel set, the binary image generating unit (a) identifies whether the connection pixel set is a character or non character by comparing a value of an index that indicates unevenness of the color differences with a color difference threshold value, (b) identifies whether a size of the rectangular area is small or large on the basis of a threshold value, and (c) sets the color difference threshold value as a value if the size of the rectangular area is small and as another different value if the size of the rectangular area is large. | 05-29-2014 |
20140169667 | REMOVING AN OBJECT FROM AN IMAGE - A method for removing an object from an image is described. The image is separated into a source region and a target region. The target region includes the object to be removed. A contour of the target region may be extracted. One or more filling candidate pixels are obtained. Multiple filling patches are obtained. Each filling patch is centered at a filling candidate pixel. A filling patch may be selected for replacement. | 06-19-2014 |
20140177953 | METHOD AND APPARATUS FOR EMBEDDING MESSAGE INTO IMAGE DATA - A method of embedding and extracting a message into and from image data is provided. The method of embedding a message into image data includes: generating message data that is to be embedded into the image data; dividing the image data into a plurality of color channels, and embedding the message data into a difference component between two color channels of the plurality of color channels; reconstructing components of the two color channels by using original components of the two color channels and a difference component between the two color channels into which the message data is embedded; and reconstructing the image data by using the reconstructed components of the two color channels and an original component of a remaining color channel of the plurality of color channels. | 06-26-2014 |
20140177954 | COMPRESSION OF DIGITAL IMAGES OF SCANNED DOCUMENTS - A method for creating a binary mask image from an inputted digital image of a scanned document, including the steps of creating a binarized image by binarizing the inputted digital image, detecting first text regions representing light text on a dark background, and inverting the first text regions, such that the inverted first text regions are interpretable in the same way as dark text on a light background. A method for comparing in a binary image a first pixel blob with a second pixel blob to determine whether they represent matching symbols, including the steps of detecting a line in one blob not present in the other and/or determining if one of the blobs represents an italicized symbol where the other does not. | 06-26-2014 |
20140193068 | USING INFRARED IMAGING TO CREATE DIGITAL IMAGES FOR USE IN PRODUCT CUSTOMIZATION - Techniques for using infrared imaging to create digital images for use in product customization are described. In an embodiment, an infrared photograph of a product with imprinted markup is received and a visible light photograph of the product with the imprinted markup is received. The imprinted markup is visible in the visible light photograph but is not visible in the infrared photograph. Instructions for rendering a customization image of the product depicting a particular customization are determined based in part on the infrared photograph and visible light photograph, where the particular customization is not in the infrared photograph or the visible light photograph. | 07-10-2014 |
20140212032 | IMAGE PROCESSING APPARATUS, METHOD AND IMAGING APPARATUS - An image processing apparatus includes an extraction section that extracts a first high brightness region from a source image where brightness is a first threshold value or greater, a mask generation section that performs blur processing and binarization processing on the first high brightness region and generates a mask containing the first high brightness region, a mask application section that based on the mask performs elimination processing, thinning processing, or both on the first high brightness region, a bright line generation section that generates a bright line based on a second high brightness region contained in output of the mask application section, and a synthesizing section that synthesizes the bright line onto the source image. | 07-31-2014 |
20140219555 | METHOD FOR DETECTING AND REMOVING SCROLLING TEXTS DURING VIDEO COMMUNICATION - A method for detecting and removing scrolling texts comprising a step of using an adaptive transient difference processing of video communication to conduct frame calculation, wherein the adaptive transient difference processing takes first N frames f | 08-07-2014 |
20140241624 | METHOD AND SYSTEM FOR IMAGE PROCESSING - Various aspects of a system and method for image processing may include a computing device having one or more processors. The computing device may be operable to determine luminance values of multiple pixels in a subset of a frame of a two-dimensional image. The computing device may be operable to determine texture values of the multiple pixels in the subset of the frame. The computing device may be operable to identify a subject region and a background region in the frame of the two-dimensional image based on the determined luminance values and the determined texture values of the plurality of pixels. | 08-28-2014 |
20140241625 | IMAGE PROCESSING METHOD, IMAGE PROCESSING APPARATUS, AND COMPUTER PROGRAM PRODUCT - According to an aspect of the present invention, an image processing method for extracting a pixel having a specific feature includes: extracting pixels representing an object, to which the pixel having the specific feature belongs, from a given input image based on an image feature other than color; extracting principal colors from the pixels; selecting, from a plurality of pre-trained color distribution models deposited in a repository, a color distribution model closest in distance metric, which indicates distance relative to the extracted principal colors, to the extracted principal colors by performing a search through the repository using the extracted principal colors; and segmenting the input image by categorizing pixels in the input image using the selected color distribution model. | 08-28-2014 |
20140247980 | REUSE OF IMAGE PROCESSING INFORMATION - A content editor application receives a reference map that indicates which portions of a first image are foreground, and which portions of the first image are background. The content editor compares a coloration of regions in the first image to a coloration of regions in the second image. For regions in the second image that match a coloration of corresponding regions in the first image, or that are within a threshold range of coloration, the content editor uses the reference map to mark regions of the second image that are foreground and to mark which regions of the second image are background. Accordingly, the reference map of the first image can be used to identify whether regions of a second image or subsequent images in a sequence are foreground and which are background. | 09-04-2014 |
20140254924 | METHOD, APPARATUS, AND NON-TRANSITORY COMPUTER READABLE MEDIUM FOR ENHANCING IMAGE CONTRAST - The present invention describes enhancing image contrast comprising the following steps: determining a segmentation point according to at least one segmentation threshold and pixel statistical data of a picture, wherein the segmentation point is utilized to divide the pixel statistical data into a first partial statistical data and a second partial statistical data; and determining a first partial brightness conversion function and a second partial brightness conversion function according to the first and the second partial statistical data, respectively. The first partial brightness conversion function is used to adjust brightness values of multiple pixels in the picture corresponding to the first partial statistical data, and the second partial brightness conversion function is used to adjust brightness values of multiple pixels in the picture corresponding to the second partial statistical data. | 09-11-2014 |
20140294296 | SPATIALLY VARYING LOG-CHROMATICITY NORMALS FOR USE IN AN IMAGE PROCESS - In a first exemplary embodiment, an automated, computerized method is provided for processing an image. The method includes the steps of providing an image file depicting an image defined by image locations, in a computer memory, generating a bi-illuminant chromaticity plane in a log color space for representing the image locations of the image in a log-chromaticity representation for the image, providing a set of estimates for an orientation of the bi-illuminant chromaticity plane and calculating a single orientation for each one of the image locations as a function of the set of estimates for an orientation. | 10-02-2014 |
20140307961 | ARCHIVING IMAGERY ON DIGITAL OPTICAL TAPE - Methods and apparatus for archival storage of an image are disclosed. The image may be separated into a plurality of bit plane images. The plurality of bit plane images may be written separately onto digital optical tape. | 10-16-2014 |
20140314312 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - An edge graph in which a pixel of an image is set as a node and an edge is set between nodes is generated. The dissimilarity or similarity between nodes at the two ends of the edge is used as the feature amount of the edge, and the edge is classified into one of a plurality of classes based on the feature amount. The edge of interest is selected in ascending class order of the feature amount, and it is determined whether to merge determination target regions to which the nodes at the two ends of the edge of interest belong. Determination target regions determined to be able to be merged are merged, and a feature amount in the merged region is updated. | 10-23-2014 |
20140334722 | WILDCARD COLOR SEARCHING - A method of extracting the dominant colors from a set of target images and storing those colors in a database is described. A method of comparing colors stored in a database with a set of colors extracted from a query image. Also, a method of comparing colors stored in the database with a set of colors defined by a user using a color picker. The user defined colors may or may not include a wildcard color. The list of matching database images may or may no be filtered using metadata. | 11-13-2014 |
20140348421 | METHOD AND DEVICE FOR PROCESSING A PICTURE - A method for processing a picture is disclosed. The method according to the invention comprises:
| 11-27-2014 |
20140348422 | SEGREGATION OF HANDWRITTEN INFORMATION FROM TYPOGRAPHIC INFORMATION ON A DOCUMENT - A system for segregating handwritten information from typographic information on a document may include a memory, an interface, and a processor. The memory stores an electronic document image of a document where the electronic document image includes pixels and each pixel has a characteristic. The processor may receive, via the interface, the electronic document image and may identify first, second and third most frequently occurring characteristics of the pixels of the electronic document image. The pixels having the first most frequently occurring characteristic represent a background of the document. The processor may determine the typographic information of the document as represented by pixels having the second most frequently occurring characteristic. The processor may determine the handwritten information of the document as represented by pixels having the third most frequently occurring characteristic. The processor may derive a first representation of the handwritten information and a second representation of the typographic information. | 11-27-2014 |
20140355872 | METHOD FOR DETERMINING INTERPOLATING DIRECTION FOR COLOR DEMOSAICKING - The invention provides a method for determining interpolating direction for color demosaicking. In the method, edge information of each pixel of an image captured by a color filter array is first obtained. Then, a highly horizontal level and a highly vertical level of each pixel are determined. An interpolating direction of each pixel is determined based on the edge information, the highly horizontal level and the highly vertical level of the pixel. | 12-04-2014 |
20140363077 | REGISTRATION OF SEPARATIONS - Separations or images relating to film or other fields may be registered using a variety of features, such as, for example: (1) correcting one or more film distortions; (2) automatically determining a transformation to reduce a film distortion; (3) applying multiple criteria of merit to a set of features to determine a set of features to use in determining a transformation; (4) determining transformations for areas in an image or a separation in a radial order; (5) comparing areas in images or separations by weighting feature pixels differently than non-feature pixels; (6) determining distortion values for transformations by applying a partial distortion measure and/or using a spiral search configuration; (7) determining transformations by using different sets of features to determine corresponding transformation parameters in an iterative manner; and (8) applying a feathering technique to neighboring areas within an image or separation. | 12-11-2014 |
20140369599 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - Edge enhancement processing is executed by obtaining a sum of whiteness degrees around a target pixel, to which edge enhancement is to be applied, and by adjusting the amount of edge enhancement such that the degree of edge enhancement decreases as the sum of whiteness degrees increases, and the degree of edge enhancement increases as the sum of whiteness degrees decreases. A whiteness degree is a value indicating the extent to which a pixel is close to white, and a sum of whiteness degrees indicates the extent to which the color around the target pixel is whitish. | 12-18-2014 |
20150016716 | SYSTEMS AND METHODS FOR NOTE CONTENT EXTRACTION AND MANAGEMENT BY SEGMENTING NOTES - Techniques for creating and manipulating software notes representative of physical notes are described. A note management system comprises a sensor configured to capture an image data of a physical note, wherein the note is separated into one or more segments using marks, wherein each of the segments is marked by at least one of the marks. The note management system further comprises a note recognition module coupled to the sensor, the note recognition module configured to receive the captured image data and identify the marks on the note, and a note extraction module configured to determine general boundaries of the one or more segments within the captured image data based on the identified marks and extract content using the general boundaries, the content comprises content pieces, each of the content pieces corresponding to one of the one or more segments of the note. | 01-15-2015 |
20150016717 | Opacity Measurement Using A Global Pixel Set - A computing device is described herein that is configured to select a pixel pair including a foreground pixel of an image and a background pixel of the image from a global set of pixels based at least on spatial distances from an unknown pixel and color distances from the unknown pixel. The computing device is further configured to determine an opacity measure for the unknown pixel based at least on the selected pixel pair. | 01-15-2015 |
20150023592 | LIFEFORM IMAGE ANALYSIS SYSTEM, LIFEFORM IMAGE ANALYSIS METHOD, AND LIFEFORM IMAGE ANALYSIS PROGRAM - A image input means | 01-22-2015 |
20150030240 | SYSTEM AND METHOD FOR ENHANCING THE LEGIBILITY OF IMAGES - Disclosed are embodiments for a system, method, and computer program product for performing a process on an original image, the process being implemented by a computer system comprising at least one computer: performing a process on at least one image that renders the processed image more legible than then the original image. | 01-29-2015 |
20150043811 | METHOD AND APPARATUS FOR DYNAMIC RANGE ENHANCEMENT OF AN IMAGE - A method and apparatus are provided for enhancing the local dynamic range of an image using the contents of exposure bracketed image set without affecting overall dynamic range of the image. The method allows a user to select at least one region of a reference image for enhancement after receiving the reference image from the user. Further the method comprises segmenting the reference image by using exposure weights, and selects an enhancement support image from an exposure bracketed image set. Furthermore the method determines weight maps of reference and enhancement support images and generates dynamic range enhanced reference image using determined weight maps. | 02-12-2015 |
20150043812 | COLOR EVALUATION APPARATUS, COLOR EVALUATION METHOD AND COMPUTER PROGRAM - Provided are a color evaluation apparatus and the like capable of evaluating the appropriateness of a color scheme in an image to be evaluated. A color evaluation apparatus | 02-12-2015 |
20150043813 | IMAGE PROCESSING APPARATUS AND CONTROL METHOD THEREFOR - An image processing apparatus according to the present invention comprises: an acquisition unit that acquires a statistical value of pixel values for each divided region; a determination unit that compares for each divided region the statistical value of the divided region acquired by the acquisition unit with a first threshold and determines whether the divided region is as color region or a monochrome region; and a re-determination unit that compares a statistical value of an adjacent divided region with a second threshold, by which a divided region is more likely determined as a color region than by the first threshold, for each adjacent divided region, and re-determines whether the adjacent divided region is a color region or a monochrome region. | 02-12-2015 |
20150063689 | MULTI-CUE OBJECT DETECTION AND ANALYSIS - Foreground objects of interest are distinguished from a background model by dividing a region of interest of a video data image into a grid array of individual cells. Each of the cells are labeled as foreground if accumulated edge energy within the cell meets an edge energy threshold, or if color intensities for different colors within each cell differ by a color intensity differential threshold, or as a function of combinations of said determinations. | 03-05-2015 |
20150071531 | CONVERSION OF AN IMAGE TO A TRANSPARENCY RETAINING READABILITY AND CLARITY OF DETAIL WHILE AUTOMATICALLY MAINTAINING COLOR INFORMATION OF BROAD AREAS - The present invention converts an image into a transparency, or “foreground image”, on which the readability of text and other detail is preserved after compositing with a background, while maintaining color information of broad areas of the image. | 03-12-2015 |
20150093022 | METHODS FOR BACKGROUND SUBTRACTION USING FOCUS DIFFERENCES - First and second images are captured at first and second focal lengths, the second focal length being longer than the first focal length. Element sets are defined with a first element of the first image and a corresponding second element of the second image. Element sets are identified as background if the second element thereof is more in-focus than or as in-focus as the first element. Background elements are subtracted from further analysis. Comparisons are based on relative focus, e.g. whether image elements are more or less in-focus. Measurement of absolute focus is not necessary, nor is measurement of absolute focus change; images need not be in-focus. More than two images, multiple element sets, and/or multiple categories and relative focus relationships also may be used. | 04-02-2015 |
20150098647 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM - An image processing device includes a color extractor, an area cutout unit, a receiver, and a sticky image cutout unit. The color extractor extracts, from image information that includes multiple sticky notes, pixels of a color used for the sticky notes. The area cutout unit cuts out an area that is a set of pixels extracted by the color extractor. The receiver receives input of a dividing line with respect to an area to be cut out by the area cutout unit. The sticky image cutout unit splits an area cut out by the area extractor along a dividing line received by the receiver, and cuts out an area having a surface area within a predetermined range from among the split area as a sticky image. | 04-09-2015 |
20150098648 | Image Processing Device Capable of Segmenting an Image into Plural Areas - An image processing device of the present invention determines the pixel values of background pixels based on a pixel value histogram of a target image to be segmented into a foreground and a background, determines pixels of the target image having pixel values equivalent to the pixel values of these background pixels, as a portion of the background pixels, and determines other background pixels and foreground pixels in the target image by use of the pixel value of each pixel in the target image and the positional information of this portion of the background pixels. | 04-09-2015 |
20150110390 | SYSTEM AND METHOD FOR NORMALIZATION AND CODIFICATON OF COLORS FOR DYNAMIC ANALYSIS - A system and method for normalizing and codifying divergent color systems into a single universal color system. The middleware engine receives a data feed comprising a plurality of color swatches or images from one or more merchant system and normalizes the data feed into a common format. The dominant processor extracts the product images from the normalized data, segments each product image into segments, determines a dominant color for each segment, and determines the dominant product color for each product image based on prevalence of the dominant product color in each segment. The matched color processor converts the determined dominant product color into a digital value of the universal color system based on the color component intensity values. | 04-23-2015 |
20150110391 | METHOD AND APPARATUS FOR SCENE SEGMENTATION FROM FOCAL STACK IMAGES - A method, apparatus and computer program product are provided to facilitate scene segmentation from focal stack images. The method may include receiving a set of focal stack images, calculating a focal measure for each of a plurality of pixels of the set of focal stack images, and grouping each of a plurality of pixels for which the focal measure was calculated into a plurality of super pixels. The method may also include calculating a focal measure for each of the plurality of super pixels, segmenting a respective focal stack image based on the focal measure of each of the plurality of super pixels, calculating a color probability for each of the plurality of super pixels, and segmenting each focal stack image based on color probability of each of the plurality of super pixels. | 04-23-2015 |
20150110392 | Apparatus, a Method and a Computer Program for Image Processing - There is provided methods, apparatuses and computer program products for image segmentation in which pixel data of an image and information of a first set of pixels of the image indicative of pixels belonging to a foreground of the image are obtained. A colour model of the image is estimated. To obtain a geodesic distance map at least one geodesic distance from a pixel of the first set of pixel to another pixel of the image which is not in the first set of pixels is determined. An energy function is optimized on the basis of the geodesic distance map to obtain a segmentation of the image. | 04-23-2015 |
20150117769 | Blob-Encoding - A method is directed to identifying spatially extensive image features that are not pixelwise contiguous in a two-dimensional digital image to be examined having pixels arranged in grid form in the form of a rectangular grid. Each pixel of the two-dimensional digital image is respectively assigned two coordinate values corresponding to their position in the rectangular grid of the digital image, and the respective coordinate values of adjoining pixels respectively differ by one pixel dimension. The individual pixels are run through in the order of a regular scan. | 04-30-2015 |
20150117770 | IMAGE PROCESSING METHOD, ELECTRONIC DEVICE, ELECTRONIC DEVICE READABLE STORAGE MEDIUM AND PROGRAM APPLIED IN ELECTRONIC DEVICE - An image processing method comprises: receiving a first image; setting at least one first region on the first image, where the first image comprises at least one line; calculating a first average value of the first region; performing computation on the first image with a first parameter set to generate a second image; setting a second region of the second image according to the first region, and calculating a second average value of the second region; calculating a difference between the first average value and the second average value; and determining whether to replace the first image with the second image according to the difference. | 04-30-2015 |
20150117771 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM - An image processing apparatus comprises a detection unit configured to detect a person region included in an image, a first calculation unit configured to calculate first tone characteristics based on information concerning the person region detected by the detection unit, a second calculation unit configured to calculate second tone characteristics based on predetermined tone characteristics and the first tone characteristics calculated by the first calculation unit, and an image processing unit configured to perform tone correction processing by using the second tone characteristics calculated by the second calculation unit. | 04-30-2015 |
20150125074 | APPARATUS AND METHOD FOR EXTRACTING SKIN AREA TO BLOCK HARMFUL CONTENT IMAGE - Disclosed are an apparatus and method for extracting a skin area to block a harmful image. The apparatus includes an image extraction unit, a skin sample area extraction unit, a background sample area extraction unit, a probability density function computation unit, and a skin area extraction unit. The image extraction unit extracts an image from image media. The skin sample area extraction unit extracts a skin sample area of the image based on prior information. The background sample area extraction unit extracts a background sample area of the image based on the prior information. The probability density function computation unit calculates the probability density functions of the skin sample area and the background sample area. The skin area extraction unit extracts a skin area from the image based on the probability density function of the skin sample area and the probability density function of the background sample area. | 05-07-2015 |
20150139540 | Mixed Media Reality Recognition Using Multiple Specialized Indexes - An MMR system for searching across multiple indexes comprises a plurality of mobile devices, a pre-processing server or MMR gateway, and an MMR matching unit, and may include an MMR publisher. The MMR matching unit receives an image from the pre-processing server or MMR gateway and sends it to one or more of the recognition units to identify a result including a document, the page, and the location on the page. The MMR matching unit includes a distributor for distributing the image to corresponding content type specific index tables and an integrator for integrating recognition results. The result is returned to the mobile device via the pre-processing server or MMR gateway. The techniques described herein also include a number of novel methods including a method for processing content-type specific image queries and for processing queries across multiple indexes. | 05-21-2015 |
20150317804 | APPARATUS AND METHOD FOR DETECTING COLOR CHECKER IN IMAGE - Embodiments provide an apparatus and method for detecting a color checker in an image including: an extracting unit to extract sliding window features of sliding windows at multiple positions from an input image by using a predefined sliding window; a selecting unit to select, by using multiple predefined sliding window templates, a sliding window having a minimum distance from each sliding window template from the sliding windows at the multiple positions as a matched sliding window of the sliding window template; and a determining unit to determine segmentation lines of colored squares of a color checker in the input image according to a matching result of each sliding window template. | 11-05-2015 |
20150324660 | MULTI-SCALE PYRAMID ARRANGEMENT FOR USE IN AN IMAGE SEGREGATION - Multiple sets include multiple scale-spaced pyramids representing each of the image and selected characteristics of the image relevant to the identification of the illumination and material aspects of the image. | 11-12-2015 |
20150324661 | METHOD FOR DETECTION OF BLEND PIXELS FOR USE IN AN IMAGE SEGREGATION - A method and system comprising image processing techniques that utilize spatio-spectral information relevant to an image, derived from multiple sets of selectively varied representations of the image to accurately and correctly identify illumination and material aspects of the image is provided. Blend pixels are detected to improve the accuracy of the identification of the illumination and material aspects of the image. | 11-12-2015 |
20150324993 | CONSTRAINT RELATIONSHIP FOR USE IN AN IMAGE SEGREGATION - A soft, weighted constraint imposed upon image locations can be used to provide a more accurate segregation of an image into intrinsic material reflectance and illumination components. The constraint is arranged to constrain all color band variations between the image locations into one integral constraining relationship. | 11-12-2015 |
20150332112 | METHOD AND APPARATUS FOR IMAGE PROCESSING - A method is provided for recognition of a sky portion, a vertical object portion and a ground portion in an image. The image into a plurality of pixel sets by the electronic system. Expected values of each pixel sets with a sky distribution function, a vertical object distribution function and a ground distribution function by the electronic system are calculated and compared for each pixel set for determine each pixel set belonging to one of the sky portion, the vertical object portion or the ground portion. | 11-19-2015 |
20150332479 | SYSTEM FOR NORMALIZING, CODIFYING AND CATEGORIZING COLOR-BASED PRODUCT AND DATA BASED ON A UNIVERISAL DIGITAL COLOR LANGUAGE - A system for normalizing, codifying and categorizing divergent color systems into a universal color language. A server connected to a communications network receives, processes, codifies and categorizes divergent color data from a merchant system. A middleware engine of the server receives a data feed comprising a plurality of color swatches or images from the merchant system, and normalizes the data feed into a common format. A server processor extracts image data comprising a plurality of product images from the normalized data feed, identifies and converts at least one dominant product color in each product image to a digital value based on color component intensity values, and assigns a hexadecimal code of the universal color language to each product image that is closest to the digital value of each product image. A product categorization engine categorizes each product image into one of a plurality of product categories. | 11-19-2015 |
20150347865 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND MEDIUM - An image processing apparatus that extracts colors of patches from a photographed image data of a chart image is provided. The image processing apparatus includes: a position extraction unit configured to extract information indicating a position of the chart image in the photographed image data; an acquisition unit configured to acquire information indicating a patch position of each patch images in the chart image based on the chart image; a setting unit configured to set an extraction range in accordance with the patch position of each of the patch images in the photographed image data based on the information; a determination unit configured to determine whether or not the set extraction range fits inside each of the patch images; and a color extraction unit configured to extract a color of each patch image. | 12-03-2015 |
20150356352 | BACKGROUND UNDERSTANDING IN VIDEO DATA - Long-term understanding of background modeling includes determining first and second dimension gradient model derivatives of image brightness data of an image pixel along respective dimensions of two-dimensional, single channel image brightness data of a static image scene. The determined gradients are averaged with previous determined gradients of the image pixels, and with gradients of neighboring pixels as a function of their respective distances to the image pixel, the averaging generating averaged pixel gradient models for each of a plurality of pixels of the video image data of the static image scene that each have mean values and weight values. Background models for the static image scene are constructed as a function of the averaged pixel gradients and weights, wherein the background model pixels are represented by averaged pixel gradient models having similar orientation and magnitude and weights meeting a threshold weight requirement. | 12-10-2015 |
20150363664 | Method, Apparatus and Computer Program Product for Image Processing - In an example embodiment, a method, apparatus and computer program product are provided. The method includes facilitating receipt of an image, and partitioning the image into a plurality of sub-images. The method further includes super-pixels in the plurality of sub-images, wherein determining the super-pixels includes determining a plurality of super-pixels in each sub-image of the plurality of sub-images. An image graph including a plurality of connections between the super-pixels is determined, wherein a connection of the plurality of connections is determined between a first super-pixel and a second super-pixel. The first super-pixel belongs to a sub-image and the second super-pixel belongs to the sub-image or a neighboring sub-image of the sub-image located in an immediate vicinity of the sub-image in the image. | 12-17-2015 |
20150363913 | ADAPTIVE FILTER DEMOSAICIZING FOR SUPER RESOLUTION - An apparatus and method for demosaicing sampled color values are provided. The method includes storing image information for a plurality of images, selecting an intended viewpoint that is within a composite of image information across the plurality of images, reconstructing color information for at least one color using image information from the composite of image information across the plurality of images that corresponds to the intended viewpoint. | 12-17-2015 |
20150379731 | COLOR NAME GENERATION FROM IMAGES AND COLOR PALETTES - Systems and methods are provided for generating color names for colors corresponding to images and/or palettes. A color image is obtained, and one or more color palettes corresponding to the color image are identified. The color palette may be generated based on palette generation criteria, which may facilitate or control a palette generation process. Illustratively, the palette generation process may include image pre-processing, color distribution generation, representative color identification, palette candidate generation, and palette determination. A color name for each color identified in the color palette and/or the color image can be identified based at least in part on color name popularity information. Color name popularity information may be identified from color name-related voting results provided by a social network site. Aspects of the disclosure are further directed to processing the identified color name(s), such as updating color name metadata associated with the original color image and/or the color palette. | 12-31-2015 |
20150379732 | AUTOMATIC IMAGE-BASED RECOMMENDATIONS USING A COLOR PALETTE - Systems and methods are described that recommend images, items, and/or metadata based at least in part on a reference color palette or reference color name. A color name can be converted into a representation of the color name in a color space. The reference color can be used to identify images that contain the reference color. The identified images and associated metadata can be analyzed, sorted and provided as an ordered list of items. Systems and methods are also described that identify items that contain colors affiliated with the reference color. Systems and methods are also described that validate color identifier information in metadata associated with an image. Systems and methods are also described that identify non-color specific keywords associated with the reference color. | 12-31-2015 |
20150379733 | AUTOMATIC IMAGE-BASED RECOMMENDATIONS USING A COLOR PALETTE - Systems and methods are described that recommend images, items, and/or metadata based at least in part on a reference color palette or reference color name. A color name can be converted into a representation of the color name in a color space. The reference color can be used to identify images that contain the reference color. The identified images and associated metadata can be analyzed, sorted and provided as an ordered list of items. Systems and methods are also described that identify items that contain colors affiliated with the reference color. Systems and methods are also described that validate color identifier information in metadata associated with an image. Systems and methods are also described that identify non-color specific keywords associated with the reference color. | 12-31-2015 |
20160012606 | MULTI-CUE OBJECT DETECTION AND ANALYSIS | 01-14-2016 |
20160027187 | TECHNIQUES FOR IMAGE SEGMENTATION - Techniques for image segmentation can include receiving image data of an image including a background and a face of a person in a foreground, and determining a respective a priori probability of a head-shoulder foreground pixel appearing per pixel of the plurality of pixels, according to a positioning result of a plurality of exterior contour points of the face. The techniques can also include selecting foreground and background pixels of the plurality of pixels, according to at least the a priori probabilities, and determining respective color likelihood probabilities of the foreground and the background, according to color feature vectors of the selected pixels. The techniques can also include determining respective posteriori probabilities of at least part of the foreground and at least part of the background, according to the a priori probabilities and the respective color likelihood probabilities. The techniques can also include performing segmentation on the plurality of pixels, according to the respective posteriori probabilities. | 01-28-2016 |
20160035072 | SYSTEM AND APPARATUS IN MANAGING COLOR-CONSISTENCY FOR MULTIPLE PANEL SIMULTANEOUS DISPLAY - A system for managing color consistency in a display including a plurality of panels configured to display a source image includes: a processor; and a memory, and the memory stores instructions that, when executed by the processor, cause the processor to: select a first panel among the plurality of panels as a master panel; capture a first image of the first panel and a second image of a second panel among the plurality of panels; identify a first comparative area within the first image and a second comparative area within the second image; compare the first and second comparative areas to perform a comparison; adjust data of the source image based on the comparison, and the data is adjusted by remapping colors of the source image; and transmit the adjusted data to the second panel. | 02-04-2016 |
20160044210 | COLOR CONVERSION METHOD, GRAY SCALE VALUE CORRECTION APPARATUS, COMPUTER PROGRAM AND DISPLAY APPARATUS - Provided are a color conversion method, gradation value correction device, computer program, and display device that can reproduce small gradation changes between lattice points, as well as can reduce accuracy degradation caused by interpolation. Dividing one of input gradations and output gradations of gradation characteristics, indicating input/output gradation characteristics reproduced in a second conversion unit, into gradation segments having predetermined gradation intervals. Then, correcting each of the gradation values of the other gradations of the gradation characteristics so that gradation intervals of the other gradations become intervals corresponding to the predetermined gradation intervals. The first conversion unit then converts the gradation values of an image using the corrected gradation values. | 02-11-2016 |
20160055154 | Computer Implemented System and Method for Identifying Product Images Based Refined Color Histograms - A computer implemented method for searching an electronic database of product images, said method comprising the steps of: accessing a plurality of digital images of each of a plurality of products; segregating said images by color and product type; calculating the number of pixels for each color in each of said product images; dividing said colors into a plurality of discrete segments within the visible color spectrum; averaging the number of pixels for each color for each said image of a single product; applying a multiplier to blocks that exist within a cohesive quantized color group; normalizing said pixel count based on the percentage of the number of pixels within a predetermined range; storing said histogram into a database wherein each discrete segment has one value within the visual spectrum; and sorting the histograms in order of highest percentage of each color in the profile to lowest. | 02-25-2016 |
20160055642 | IDENTIFYING POINTS OF INTEREST IN AN IMAGE - Points of interest are identified in an image to characterize that image by dividing the image tiles consisting of adjacent pixels; finding within each tile the position of a pixel with an extremum value and ascribing that extremal value to the tile; identifying a tile with an extremal value which is more extreme than that of all adjacent tiles; and selecting as a point of interest the position within the image of the pixel with the extremum value in that identified tile. | 02-25-2016 |
20160055655 | METHOD AND APPARATUS OF CREATING A PERCEPTUAL HARMONY MAP - The present invention generally relates to a method for creating a perceptual harmony map of an image, wherein it comprises:
| 02-25-2016 |
20160063735 | IMAGE COMBINING APPARATUS, IMAGE COMBINING METHOD AND RECORDING MEDIUM STORING CONTROL PROGRAM FOR IMAGE COMBINING APPARATUS - The impression given by a background image is determined, wherein the background image represents the background of a location to be decorated with a picture frame into which a print has been inserted. A picture frame image that gives this impression is found. The image representing the print is corrected so as to give an impression closer to the impression that has been determined. The corrected image is combined with the found picture frame image and the resulting composite image is transmitted to a smartphone. When the composite image is checked and deemed suitable by the user, the print of the corrected image is inserted into an actual picture frame specified by the picture frame image and the picture frame with the inserted print is delivered to the user. | 03-03-2016 |
20160078291 | IMAGE DATA PROCESSING METHOD AND ELECTRONIC DEVICE SUPPORTING THE SAME - A method of processing image data of an electronic device is provided. The method includes dividing the image data into at least one segment corresponding to a feature of at least part of the image data, determining a category corresponding to the at least one segment, and displaying the at least one segment in a converted form based on the category. | 03-17-2016 |
20160078631 | INFORMATION PROCESSING DEVICE, IMAGE MODIFICATION METHOD, AND COMPUTER PROGRAM PRODUCT - According to an embodiment, an information processing device includes: a first division unit divides an image into a text containing region and a background region other than the text containing region; a second division unit divides a text containing region into a character region constituted by lines forming characters and a character background region other than the character region; a calculator calculates a first representative value of an attribute of the character region, a second representative value of the attribute of the character background region, and a third representative value of the attribute of the background region; a modification unit makes modification so that a first difference based on the first and third representative values, a second difference based on the first and second representative values, and a third difference based on the second and third representative values become larger; and an output unit outputs a modified image. | 03-17-2016 |
20160093061 | METHOD, APPARATUS AND COMPUTER PROGRAM PRODUCT FOR SEGMENTATION OF OBJECTS IN IMAGES - In an example embodiment a method, apparatus and computer program product are provided. The method includes grouping pixels of an image into a plurality of pixel groups. The method includes determining representative descriptors for the plurality of pixel groups and further grouping the plurality of pixel groups into a set of pixel groups based at least on similarity between the representative descriptors for the plurality of pixel groups. The method also includes receiving a selection of at least one region of the image. The method includes segmenting at least one object of the image based at least on an overlap between the at least one region and the set of pixel groups, wherein the at least one object is associated with one or more pixel groups of the set of pixel groups that overlap with the at least one region. | 03-31-2016 |
20160098843 | IMAGE PROCESSING APPARATUS AND METHOD OF CONTROLLING THE SAME - To improve a total throughput of graph generation processing. For doing so an inputted image is divided into a plurality of areas by clustering, based on a plurality of representative points, a plurality of pixels in the image. A set of representative points that are close is generated based on positions of the representative points. A plurality of the areas corresponding to the plurality of representative points included in the set based on respective feature amounts is unified. | 04-07-2016 |
20160104303 | IMAGE-BASED COLOR PALETTE GENERATION - Systems and methods are provided for generating an image-based color palette based on a color image. A color palette can be a collection of representative colors each associated with a weight or other metadata. A color palette may be generated based on palette generation criteria, which may facilitate or control a palette generation process. Illustratively, the palette generation process may include image pre-processing, color distribution generation, representative color identification, palette candidate generation and palette determination. Representative colors with associated weight can be identified from a distribution of colors depicted by the color image, multiple palette candidates corresponding to the same color image can be generated based on various palette generation criteria, and a color palette can be identified therefrom. | 04-14-2016 |
20160110876 | MATTING METHOD FOR EXTRACTING FOREGROUND OBJECT AND APPARATUS FOR PERFORMING THE MATTING METHOD - A matting method and apparatus for extracting a foreground object are disclosed. The matting method includes extracting one or more pixels from an input image and a trimap; calculating a first processing cost by extracting one or more nonlocal neighboring pixels; calculating a second processing cost by extracting one or more local neighboring pixels; and performing matting on the input image by estimating an opacity value for each of the extracted pixels based on the first and second processing costs. Accordingly, it is possible to perform high-quality image matting, and thus increase a performance in extracting a to foreground object from the input image, so that the matting method and apparatus can be applied to multiple-purpose image editing software. | 04-21-2016 |
20160117832 | METHOD AND APPARATUS FOR SEPARATING FOREGROUND IMAGE, AND COMPUTER-READABLE RECORDING MEDIUM - A method and an apparatus for separating a foreground image are disclosed. The method includes obtaining an input image and depth information of the input image; roughly dividing the input image to obtain a rough foreground region based on the depth information of the input image; obtaining motion information of the input image, and generating a three-color image from the rough foreground region based on the motion information; and separating the foreground image from the generated three-color image. According to the method, the three-color image is generated based on the depth information and the motion information, thus a foreground object can be accurately separated from the three-color image. | 04-28-2016 |
20160125259 | SMART FEELING SENSING TAG FOR PICTURES - The invention is directed to systems, methods and computer program products for determining a mood and a strength of an image. An exemplary method comprises: determining a mood of an image based on a color tone and a color saturation of the image; determining a strength of an image based on a brightness of the image; determining a mood-strength distribution of the image based on the mood of the image and the strength of the image; and selecting a music piece based on the mood-strength distribution of the image. | 05-05-2016 |
20160127705 | METHOD AND DEVICE FOR PROCESSING A VIDEO - A method for processing a video is disclosed. The method comprises:
| 05-05-2016 |
20160140722 | Fast Intrinsic Images - Fast intrinsic images techniques are described. In one or more implementations, a combination of local constraints on shading and reflectance and non-local constraints on reflectance are applied to an image to generate a linear system of equations. The linear system of equations can be solved to generate a reflectance intrinsic image and a shading intrinsic image for the image. In one or more implementations, a multi-scale parallelized iterative solver is used to solve the linear system of equations to generate the reflectance intrinsic image and the shading intrinsic image. | 05-19-2016 |
20160148354 | IMAGE PROCESSING METHOD AND SYSTEM - An image processing method, system and device are disclosed. In the method, sensor responses for an input image are estimated, the sensor responses including sensor responses for cone sensors including a first cone sensor set and a second, different, cone sensor set. In dependence on the sensor responses, a transform mapping for application to a source image is determined to generate a modified image. | 05-26-2016 |
20160155243 | METHOD AND DEVICE FOR ESTIMATING A COLOR MAPPING BETWEEN TWO DIFFERENT COLOR-GRADED VERSIONS OF A PICTURE | 06-02-2016 |
20160180163 | METHOD FOR SEGMENTING TEXT WORDS IN DOCUMENT IMAGES USING VERTICAL PROJECTIONS OF CENTER ZONES OF CHARACTERS | 06-23-2016 |
20160180501 | EFFICIENT LENS RE-DISTORTION | 06-23-2016 |
20160189389 | IMAGE PROCESSING APPARATUS THAT PROCESSES IMAGE CONTAINING BACKGROUND COLOR - A first correction is executed on target image data representative of a target image when a ratio of a number of first type pixels relative to a number of a plurality of pixels in the target image data is determined to be greater than or equal to a prescribed value. A second correction is executed on the target image data when the ratio is determined to be smaller than the prescribed value. Pixel values of the first type pixels are within a first range that is defined based on a color value indicative of a background color of the target image. The first correction corrects both of internal pixel values and external pixel values which are within and out of a second range that contains the color value of the background color. The second correction corrects the internal pixel values and does not correct the external pixel values. | 06-30-2016 |
20160202465 | ANALYSIS DEVICE, MICROSCOPE DEVICE, ANALYSIS METHOD, AND PROGRAM | 07-14-2016 |
20160203587 | METHOD AND APPARATUS FOR COLOR CORRECTION IN AN ALPHA MATTING PROCESS | 07-14-2016 |
20160379080 | IMAGE MATCH FOR FEATURELESS OBJECTS - Object identification through image matching can utilize ratio and other data to accurately identify objects having relatively few feature points otherwise useful for identifying objects. An initial image analysis attempts to locate a “scalar” in the image, such as may include a label, text, icon, or other identifier that can help to narrow a classification of the search, as well as to provide a frame of reference for relative measurements obtained from the image. By comparing the ratios of dimensions of the scalar with other dimensions of the object, it is possible to discriminate between objects containing that scalar in a way that is relatively robust to changes in viewpoint. A ratio signature can be generated for an object for use in matching, while in other embodiments a classification can identify priority ratios that can be used to more accurately identify objects in that classification. | 12-29-2016 |
20160379344 | METHOD FOR SLICED INPAINTING - A method for replacing image data in a destination region that is divided into sub-pieces along one or more cutting paths, which start and end at two different points on the border, and finding replacement data for the sub-pieces. The cutting paths may be determined as a function of the type of image structured at the start and the end points. The cutting paths may also be determined as a function of the area of the sub-pieces and the lengths of the cutting paths. Optionally, the destination region may be determined by a spot detection algorithm. Further optionally, the spot detection algorithm may comprise calculation of a high pass filter, or detection of areas of luminosity and border-to-volume ratios. A method for moving an image element within an image is also provided. | 12-29-2016 |
20170236005 | METHOD FOR DETERMINING A COLOUR VALUE OF AN OBJECT IN AN IMAGE | 08-17-2017 |