Entries |
Document | Title | Date |
20080199099 | IMAGE PROCESSING APPARATUS AND METHOD, RECORDING MEDIUM, AND PROGRAM - An image processing apparatus includes an edge-direction detector that detects an edge direction in an original image; a confidence detector that detects a confidence of the edge direction; a contrast detector that detects a contrast intensity; a texture-contrast-weight setter that sets a texture-contrast weight; an edge-contrast-weight setter that sets an edge-contrast weight; a texture-weight setter that sets a texture weight; an edge-weight setter that sets an edge weight; a texture filter that performs texture filtering to generate a texture-filter image; an edge filter that performs edge filtering to generate an edge-filter image; a texture combiner that combines the original image and the texture-filter image to generate a texture-combination image; and an edge combiner that combines the texture-combination image and the edge-filter image to generate an edge-combination image. | 08-21-2008 |
20080205785 | METHOD AND SYSTEM FOR ENHANCING DIGITAL IMAGES - A system and method for enhancing digital images is described. A digital image is transformed into a series of decomposed images in frequency bands, or different resolution grids. A decomposed image is noise suppressed and contrast enhanced. Representative value of signal at each pixel is computed based on contributions to signals from pixels in a neighborhood of the pixel. Lookup tables are applied to pixel values to selectively enhance signal in a predetermined range of signal strength. Another set of lookup tables are applied to pixel values to suppress noise components contained therein. Optionally, operations are applied to decomposed images to suppress quantum noise, enhance object edges or enhance global contrast, among others. These decomposed images, after signal enhancement and noise suppression, are then recombined to result in an enhanced image. | 08-28-2008 |
20080212888 | Frame Region Filters - One embodiment is directed to a display controller that comprises: (a) a selecting circuit and (b) a filtering circuit. The selecting circuit selects pixels of a frame of image data that are within at least one region of the frame designated for filtering. The filtering circuit modifies the selected pixels according to a filtering operation specified for the filtering region in which the selected pixels are located. In addition, in one embodiment, the selecting circuit selects pixels that are within one of at least two filtering regions, and the filtering circuit modifies the selected pixels according to one of at least two distinct filtering operations. Other embodiments are directed to hardware implemented methods for filtering image data. | 09-04-2008 |
20080212889 | METHOD FOR REDUCING IMAGE NOISE - A method for reducing image noise includes calculating a mean pixel-correlation between a central pixel and neighboring pixels within a working window in an image. The method also includes calculating a weighted horizontal similarity between the central pixel and horizontal neighboring pixels and a weighted vertical similarity between the central pixel and vertical neighboring pixels within the working window. Then, the method determines if the central pixel is noise. If so, a noise-reduction process is executed. | 09-04-2008 |
20080212890 | Systems and Methods for Noise Estimation in a Single Frame of Video Data - The present invention is directed, in at least one embodiment, to a method of estimating noise and, subsequently, filtering noise in a single frame of video data. The method comprises the steps of obtaining a single frame of video data within a memory and executing a plurality of instructions within a processor wherein, when executed, the instructions identify a window within the single frame, compute a variance of the window, derive a noise estimation from the variance, and filter the noise from the single frame using the noise estimation. The method is effective to remove Gaussian noise and blocky noise. | 09-04-2008 |
20080219580 | Method for Filtering Data with Arbitrary Kernel Filters - A computer implemented method filters input data with a kernel filter. A kernel filter is defined, and a set of unique filter coefficients for the kernel filter are determined. A linkage set is constructed for each unique filter coefficient such that the linkage set includes relative links to positions in the kernel filter that have identical filter coefficients, and in which each relative link is an inverse of the position of the unique filter coefficient. Each input data point is processed by multiply values on which the kernel filter is centered by each of the unique filter coefficients, and adding results of the multiplying to the corresponding output data points as referenced by the relative links. | 09-11-2008 |
20080232709 | METHOD AND APPARATUS FOR REGISTRATION AND VECTOR EXTRACTION OF SAR IMAGES BASED ON AN ANISOTROPIC DIFFUSION FILTERING ALGORITHM - A computer system for registering synthetic aperture radar (SAR) images includes a database for storing SAR images to be registered, and a processor for registering SAR images from the database. The registering includes selecting first and second SAR images to be registered, individually processing the selected first and second SAR images with an anisotropic diffusion algorithm, and registering the first and second SAR images after the processing. A shock filter is applied to the respective first and second processed SAR images before the registering. Elevation data is extracted based on the registered SAR images. | 09-25-2008 |
20080253678 | Denoise method on image pyramid - The present invention is to provide a denoise method on Gaussian/Laplacian image pyramid, which integrates Pyramid analysis/synthesis algorithm, MMSE (minimum mean square error) filter and NL (non local) filter on the image pyramid to reconstruct and output a denoised image of an original input image through a plurality of iterative procedures, and utilizes an auto-adaptive noise estimation algorithm to find parameter of noise level used by the NL filter, so as to be easily embedded in mobile or handheld devices for obtaining better noise removing and anti-shaking results and remove noise much faster than the conventional denoise method, but only with less quality loss. | 10-16-2008 |
20080260282 | IMAGE PROCESSOR - The image processor includes an image filter acquiring unit, a reduced image average value calculating unit, a normalization parameter setting unit, an original image average value calculating unit, an original image reflectance acquiring unit, a normalizing unit, and a correcting unit. The image filter acquiring unit generates either one of the original image filter and the reduced image filter based on the other one of the original image filter and the reduced image filter. The reduced image average value calculating unit calculates an average peripheral value for each pixel in the reduced image using the reduced image filter. The normalization parameter setting unit tabulates frequencies of each reflectance value within the entire range of reflectance values of the reduced image and sets a normalization parameter. The normalizing unit normalizes the reflectance value for each pixel in the original image based on the normalization parameter. The correcting unit corrects a value for each pixel based on the normalized reflectance value for the each pixel in the original image. | 10-23-2008 |
20080279471 | Methods, apparatuses and systems for piecewise generation of pixel correction values for image processing - Methods, apparatuses and systems providing pixel correction values for a captured image, where the correction values are determined based on a piecewise-quadratic correction function in a first direction. The parameters for the piecewise-quadratic correction function in the first direction are calculated based on a plurality of piecewise-quadratic correction functions in a second direction. The correction values may be positional gain adjustment values. | 11-13-2008 |
20080279472 | Noise Reduction in a Digital Image by Discreter Cosine Transform - A digitized image obtained by sensing noisy radiations is processed in a central unit. The image is considered to be an array of pixel intensity values that is decomposed into p elementary arrays of n pixels which are then ordered into a processing array with p rows and n columns. A discrete cosine transform is applied to this array so as to deduce the n significant factors. A reconstructed processing array is then reconstructed by taking account of the most significant functions, and from this is deduced a reconstituted image in which the high-frequency noise is reduced, preserving satisfactory contrast. | 11-13-2008 |
20080285880 | Method of Filtering Bending Features - The present invention relates to a method of filtering an input image using a target oriented filter pattern, which has been obtained by warping a source oriented filter pattern. Such a method comprises a step of computing a source oriented filter pattern at a central image point of said input image, said source oriented filter pattern comprising a source central line, a step of analyzing intensity levels of image points in the vicinity of the central image point for determining a target central line and a step of computing a target oriented filter pattern at the central image point from said target central line and said source oriented filter pattern by defining transformation rules between points of the source and points of the target oriented filter patterns. The method in accordance with the invention finally comprises a step of computing a target oriented filter from said target oriented filter pattern and of applying said target oriented filter to said input image for producing an output image. | 11-20-2008 |
20080292201 | PRE-PROCESSING METHOD AND SYSTEM FOR DATA REDUCTION OF VIDEO SEQUENCES AND BIT RATE REDUCTION OF COMPRESSED VIDEO SEQUENCES USING SPATIAL FILTERING - Methods for pre-processing video sequences prior to compression to provide data reduction of the video sequence. Also, after compression of the pre-processed video sequence, the bit rate of the pre-processed and compressed video sequence will be lower than the bit rate of the video sequence after compression but without pre-processing. Pre-processing may include spatial anisotropic diffusion filtering such as Perona-Malik filtering, Fallah-Ford filtering, or omni-directional filtering that extends Perona-Malik filtering to perform filtering in at least one diagonal direction. Pre-processing may also include performing filtering differently on a foreground region than on a background region of a video frame. This method includes identifying pixel locations having pixel values matching characteristics of human skin and determining a bounding shape for each contiguous grouping of matching pixel locations. The foreground region is comprised of pixel locations contained in a bounding shape and the background region is comprised of all other pixel locations. | 11-27-2008 |
20080298707 | Image processing apparatus and method and image display apparatus - An image processing apparatus receives n-bit image data, carries out an α-bit bit extension, and outputs (n+α)-bit image data, where n and α are positive integers. The apparatus also performs an epsilon filtering operation that uses the additional gray levels provided by the bit extension to smooth out false edges caused by the bit extension without smoothing out real edges. The output image preserves both the smoothness of regions of gradual change and the sharpness of abrupt changes in the input image. | 12-04-2008 |
20080310749 | Method and apparatus for image processing - An image processing method and an image processing apparatus are provided. After receiving an image signal, the image and apparatus according to the invention first judge whether a target block in the image signal includes a non-chroma line. If the judging result is YES, a first edge detection procedure will be performed on the non-chroma line. If the judging result is NO, a second edge detection procedure will be performed on the target block. | 12-18-2008 |
20080317369 | Digital video filter and image processing - An apparatus for video digital color pixel filtering and digital image processing that eliminates the need for Furrier Transforms, thus eliminating time-consuming multiplication and additions. It utilizes a new distributed computer architecture that operates in conjunction with First In First Out memories, utilizing simple software for each processor to minimize latency issues of real time interactive digital image processing. The distributed processing architecture is set up to operate in a manner similar to factory assembly lines, wherein FIFO's carry semi processed data from one processor to another. A unique memory based system is used to measure motion vectors including distances and rotational vectors, of moving objects moving in a six degree of freedom. | 12-25-2008 |
20080317370 | Method and System for Filtering Elongated Features - The present invention relates to a method of filtering an input image for producing an output image. The method comprising the steps of, for a first image point located at first spatial coordinates:—analysing intensity levels of the input image in a first vicinity of the first image point for calculating a first direction of filtering at said first image point;—computing an intensity level of a first output image point of a first output image by applying a first steerable filter kernel to the input image, which is centered at the first image point and oriented along the calculated first direction of filtering; selecting at least a second image point in a second vicinity of said first image point in the first output image;—computing an intensity level of at least one second output image point of a second output image by applying at least a second steerable filter kernel to the input image, which is centered at the at least second image point and oriented along a second direction of filtering;—calculating a linear combination of the first output image point and of the at least second output image point for providing an output intensity level;—applying said output intensity level to an output image point of said output image, said output image point having said first spatial coordinates. | 12-25-2008 |
20090010561 | DEVICE FOR REMOVING NOISE IN IMAGE DATA - A device for removing noise by using an adjustable threshold. The device for removing noise in accordance with an embodiment of the present invention determines a difference value between a maximum value and a minimum value of elements of inputted image data, determines a method of removing noise of the image data in accordance with the difference value, and removes noise in accordance with the method. With the present invention, improved picture quality can be achieved because noise can be removed as desired by the user. | 01-08-2009 |
20090016634 | HALF PIXEL INTERPOLATOR FOR VIDEO MOTION ESTIMATION ACCELERATOR - Methods and an apparatus are provided for interpolation of pixels in a pixel array having rows and columns of pixels. The apparatus includes a shift register array to shift pixel values of the pixel array, the shift register array including two or more shift registers; an interpolation filter array interconnected to the shift register array, the interpolation filter array including one or more interpolation filters; and a controller configured to provide pixel values in columns of the pixel array from the shift register array to respective interpolation filters in a first mode and configured to provide pixel values in rows of the pixel array from the shift register array to respective interpolation filters in a second mode. The controller may be configured to supply vertical sub-pixel values from the shift register array to the interpolation filters to generate diagonal sub-pixel values. | 01-15-2009 |
20090022415 | METHOD AND SYSTEM FOR FILTERING IMAGE DATA - A device that includes at least one memory unit adapted to store image data; the device is characterized by including a configurable filter adapted to apply de-ringing filtering and de-blocking filtering such as to filter image data retrieved from the at least one memory unit, whereas the device is adapted to repetitively determine a configuration of the configurable filter in response to received image data and to at least one mode selection rule and to configure the configurable filter in response to the determination. A method for filtering image data, the method includes receiving or defining filtering mode selection rules; and receiving image data; whereas the method is characterized by including repeating the stages of: determining a configuration of a configurable filter that is adapted to perform de-ringing and de-blocking filtering, in response to the received image data and to at least one mode selection rule; configuring the configurable filter in response to the determination; and filtering, by the configurable filter, image data. | 01-22-2009 |
20090034862 | System and Method for Image Profiling - Described are a system and a method for image profiling. Image data is generated from an image engine of an electronic device. An image file is created from the image data. A profile that is unique to the image file is generated. The profile includes data relating to the electronic device and the image file. The profile is attached to the image file. | 02-05-2009 |
20090034863 | Multi-scale robust sharpening and contrast enhancement - Embodiments of the present invention employ robust filtering at each of a number of scales, or resolutions, within a signal, such as a still image or video sequence. In certain embodiments of the present invention, robust filtering comprises or includes a non-linear neighborhood operation at each scale in order to produce both a denoised, sharpened and contrast-enhanced signal and a correction signal at each scale. Correction signals and sharpened and contrast-enhanced signals are combined to produce a denoised, sharpened and contrast-enhanced output signal. Scale-appropriate enhancements at each scale or resolution, including denoising, sharpening and contrast enhancement, ameliorate artifacts introduced by re-enhancement, at a second scale or resolution, features previously enhanced at another scale or resolution and inhibit over enhancement. | 02-05-2009 |
20090034864 | Multi-scale robust sharpening and contrast enhancement - Embodiments of the present invention employ robust filtering at each of a number of scales, or resolutions, within a signal, such as a still image or video sequence. In certain embodiments of the present invention, robust filtering comprises or includes a non-linear neighborhood operation at each scale in order to produce both a denoised, sharpened and contrast-enhanced signal and a correction signal at each scale. Correction signals and sharpened and contrast-enhanced signals are combined to produce a denoised, sharpened and contrast-enhanced output signal. Scale-appropriate enhancements at each scale or resolution, including denoising, sharpening and contrast enhancement, ameliorate artifacts introduced by re-enhancement, at a second scale or resolution, features previously enhanced at another scale or resolution and inhibit over enhancement. | 02-05-2009 |
20090041370 | BACKGROUND NOISE DETECTION ON RENDERED DOCUMENTS - A method of detecting background noise in a rendered electronic image derived from an electronic image includes capturing a rendered image to generate captured image data. From the captured image data, a subset of the image data corresponding to a region of interest in the electronic image comprising only blank pixels is identified. For the subset of image data, any background noise in the rendered image not present in the electronic image is detected from the image data. | 02-12-2009 |
20090052796 | Match, Expand, and Filter Technique for Multi-View Stereopsis - In accordance with one or more aspects of a match, expand, and filter technique for multi-view stereopsis, features across multiple images of an object are matched to obtain a sparse set of patches for the object. The sparse set of patches is expanded to obtain a dense set of patches for the object, and the dense set of patches is filtered to remove erroneous patches. Optionally, reconstructed patches can be converted into 3D mesh models. | 02-26-2009 |
20090052797 | IMAGING DEVICE, IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, PROGRAM FOR IMAGE PROCESSING METHOD, AND RECORDING MEDIUM HAVING PROGRAM FOR IMAGE PROCESSING METHOD RECORDED THEREON - A method and apparatus to remove color noise included in raw data while effectively preventing image quality degradation. For Interest pixels serially set onto a mosaic image formed of raw data, conversion is executed into a pixel value for noise removal based on a processing reference pixel value having a unified color signal component in each interest pixel, noise is removed from the pixel value for noise removal, and the pixel value for noise removal with noise removed is converted into the source pixel value, whereby only color noise can be removed without affecting a luminance signal. | 02-26-2009 |
20090060367 | METHOD AND APPARATUS FOR PRODUCING A CONTRAST ENHANCED IMAGE - A method and apparatus for enhancing an input image to produce a contrast enhanced output image is disclosed. The method involves producing a contrast value for each pixel in the input image, the contrast value being proportional to an intensity gradient between each respective pixel and at least one pixel adjacent the respective pixel. The method also involves selecting pixels in the input image having respective contrast values that meet a first criterion, thereby forming a selected plurality of pixels and producing a frequency distribution of intensity values of the selected plurality of pixels. The method further involves selecting at least one range of intensity values in the frequency distribution that meet a second criterion, thereby producing a selected range of intensity values for enhancement. The method also involves producing the contrast enhanced output image by at least one of (i) expanding pixel intensity values in the input image that fall within the selected range of intensity values; and (ii) compressing pixel intensity values in the input image that fall outside the selected range of intensity values. | 03-05-2009 |
20090067740 | Spatial diffusion in images - The invention is related to spatial diffusion in images. Spatial diffusion helps blurring small discontinuities. Edges become sharper by spatial diffusion as well. | 03-12-2009 |
20090074318 | Noise-reduction method and apparatus - A noise-reduction method and apparatus are provided. The noise-reduction method includes estimating activity levels of regions in an input image; and applying different weights to a large noise filter kernel and a small noise filter kernel according to the estimated activity levels, wherein the estimating includes calculating a noise level of the input image, generating a binary image by calculating signal-to-noise ratios (SNRs) of pixels of the input image and by comparing the SNRs of the pixels of the input image with a predefined threshold, and reducing binary data boundaries in the binary image. | 03-19-2009 |
20090080790 | Image processing apparatus, image processing method, image processing program, and image capturing apparatus - An image processing apparatus for correcting an input image for blur using a recovery filter in accordance with image blurriness includes a blurriness determining unit that receives a target image to be corrected, applies to the target image a recovery filter including a degree-of-blur parameter corresponding to blurriness while changing a value of the degree-of-blur parameter, evaluates a degree of recovery of each of corrected target images which have been corrected with recovery filters having different degree-of-blur parameter values, and determines blurriness of the target image based on the degree-of-blur parameter value of the highly evaluated recovery filter; and a blur correction unit that sets a recovery filter for the target image based on the degree-of-blur parameter in accordance with the determined blurriness of the target image and corrects the target image for blur using the recovery filter. | 03-26-2009 |
20090087116 | IMAGE PROCESSING FILTER, IMAGE PROCESSING METHOD OF IMAGE PROCESSING FILTER, AND IMAGE PROCESSING CIRCUIT OF IMAGE PROCESSING APPARATUS HAVING IMAGE PROCESSING FILTER - An image processing filter for correcting a pixel value of an image includes a flatness calculation unit | 04-02-2009 |
20090087117 | FILTERING CIRCUIT, FILTER PROCESSING METHOD, IMAGE PICKUP ELEMENT CIRCUIT AND CAMERA - A filtering circuit which filters an image picked up by an image pickup element arranged in a two dimensional array. The filtering circuit includes a plurality of filtering units and a selecting unit. The plurality of filtering units locally filter a plurality of pixels forming the image, and the selecting unit selects one or more pixels to be filtered by one of the filtering units and selects another pixel to be filtered by another one of filtering units. The selected one or more pixels filtered by the one filtering unit and the selected another pixel filtered by another one of the filtering units belong to a same column in the two dimensional array. | 04-02-2009 |
20090087118 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND PROGRAM - In order to reduce wasteful operation processes by operation units, a data supply unit reads out a plurality of pieces of pixel data from an image memory and temporarily stores the pixel data in registers, and outputs the pixel data while shifting the pixel data in one direction; product-sum operators concurrently perform operation processes based on multiple pieces of pixel data outputted from the data supply unit and filter coefficients in a filter kernel. At this time, a selector within the data supply unit selects the pixel data stored in each register in accordance with the type of the filter operation process, and outputs the selected pixel data to the product-sum operators. | 04-02-2009 |
20090092333 | Digital signal processing with improved mapping - A method of performing a signal enhancement operation on a digital input signal is described. The method produces a best estimate of a true signal which the digital input signal is assumed to represent. The method involves deriving a plurality of candidate mappings, each defining a mapping between the signal domain of the digital input signal and an alternative optimisation domain, each signal in the signal domain corresponding to a set of optimisation parameters in the optimisation domain. For each candidate mapping, an indicator of the quality of the candidate mapping is calculated an a set of optimisation parameters in the optimisation domain of the candidate mapping is generated, the set of optimisation parameters re resenting an enhanced signal in that domain. The highest-quality mapping is then selected in dependence on the calculated indicators, and the set of optimisation parameters generated for the selected mapping is selected. The selected mapping is applied to the selected set of optimisation parameters to produce an enhanced digital signal. The method finds application in a variety of signal processing fields including image processing, and is applicable for exmple, to image processing tasks such as image enhancement or image reconstruction. | 04-09-2009 |
20090097771 | IN-PLACE AVERAGING OF PACKED PIXEL DATA - Methods, systems, and apparatuses for averaging data in packed format are provided. The data may be image data, such as data words containing color-specific data portions representative of pixels of a captured image. A first data word containing first image data is received. A second data word containing second image data is received. A logical AND of the first data word and the second data word is performed to generate a third data word. A logical exclusive OR (XOR) of the first data word and the second data word is performed to generate a fourth data word. A right shift of the fourth data word is performed. The third data word and the right shifted fourth data word are summed to generate a fifth data word that is an average of the first and second data words. | 04-16-2009 |
20090103827 | METHODS, SYSTEMS, AND APPARATUSES THAT COMPENSATE FOR NOISE GENERATED IN AN IMAGER DEVICE - Methods, systems and apparatuses for using regular and/or dark pixels of a pixel array in either a fixed or dynamic fashion to compensate for fixed pattern noise. | 04-23-2009 |
20090103828 | Image Processing Apparatus, Image Processing Method, and Computer-Readable Recording Medium Having Image Processing Program - An image processing apparatus includes an input filter configured to control an input process of image data input as an object being processed; output filters configured to control output processes of output image data being output to an outside of the apparatus; at least one process filter configured to process the image data between the input filter and the output filter; and an operation unit configured to manage process operation of the image processing apparatus; wherein when the plural output filters are selected by the operation unit for the input filter selected by the operation unit, the at least one process filter is connected to each of the selected output filters. | 04-23-2009 |
20090103829 | Noise correction circuit, imaging apparatus, and noise correction method - A noise correction circuit that detects and corrects noise included in an image signal output from an image sensor is provided. The noise correction circuit includes a noise determining unit, a noise removing unit, and a random number adding unit. The noise determining unit is configured to calculate an average value of a signal level in a predetermined range of the image signal output from the image sensor and use the calculated average value to calculate a noise component in a predetermined direction. The noise removing unit is configured to remove noise from the image signal output from the image sensor in response to the noise component determined by the noise determining unit. The random number adding unit is configured to add a random number at a level not determined by quantization of the image signal to the image signal after removal of the noise by the noise removing unit. | 04-23-2009 |
20090110319 | Methods and Systems for Background Color Extrapolation - Aspects of the present invention are related to methods and systems for determining a background color in a digital image. | 04-30-2009 |
20090110320 | Methods and Systems for Glyph-Pixel Selection - Aspects of the present invention are related to methods and systems for detecting glyph pixels in a digital image. | 04-30-2009 |
20090129694 | METHOD AND APPARATUS THEREOF FOR ENHANCING DIGITAL IMAGE - A method and an apparatus thereof for enhancing a digital image. The method includes the steps of: capturing a pixel data block; determining a searching region and a reference window with the pixel data block serving as a center; dividing the searching region into compared windows each having a size equal to a size of the reference window; sequentially comparing the compared windows to the reference window to determine corresponding weighting values according to compared results; multiplying calculated blocks in the compared windows by the corresponding weighting values of the blocks to obtain weighted blocks; accumulating the weighted blocks to obtain a summed pixel data block; accumulating the weighting values to obtain a summed weighting value; and normalizing the summed pixel data block according to the summed weighting value to obtain an image-enhanced pixel data block. | 05-21-2009 |
20090141997 | Reducing noise in images acquired with a scanning beam device - Methods and apparatus for reducing noise in images acquired with a scanning beam device are disclosed. A representative method may include scanning a beam of light over a surface in a scan with a variable velocity. Light backscattered from the surface may be detected at different points in time during the scan at a substantially constant rate. Reduced-noise representations of groups of the detected light that each correspond to a different position in an image of the surface may be generated. The reduced-noise representations may be generated for groups having multiple different sizes. The image of the surface may be generated by representing the different positions in the image with the reduced-noise representations of the corresponding groups. Other methods and apparatus are disclosed. | 06-04-2009 |
20090148060 | IMAGE PROCESSING APPARATUS AND METHOD THEREOF - An image processing apparatus applies a separability filter to respective positions of an inputted image including a linear object, calculates separability of the respective positions, generates a separability map as a set of the separability of the respective positions, applies distance transform or thinning process to the separability map to generate a skeleton image in which the linear object is displayed, and outputs the skeleton image. | 06-11-2009 |
20090154824 | Efficient Filtering of Image Data - Systems and methods for efficiently applying a filter to image data are disclosed. For efficiently applying the filter, a filter type including coefficient values for each pixel in the image data is identified. A sub-matrix corresponding to the size of the filter is selected in the image data. The sub-matrix includes the plurality of pixels that can be represented in a 2 | 06-18-2009 |
20090154825 | REDUCTION FILTER BASED ON SMART NEIGHBOR SELECTION AND WEIGHTING (NRF-SNSW) - The present disclosure describes a method and apparatus for filtering noise in a video image, comprising receiving a first video image, a second video image and motion information wherein the first image may be an image to be filtered and the second image may be a filtered image wherein the second image may be temporally related to said first image. The method may further include, for at least one pixel in the first video image, selecting at least one neighbor of the pixel from the first video image and selecting at least one neighbor of the pixel from said second video image, wherein selection of the neighbors from the first video image and the second video image may be based on said motion information; selecting a subset of the neighbors wherein the subset may be less than or equal to a sum of neighbors from the first video image and the second video image; determining a weighted average of the subset of said neighbors and the pixel; and outputting the weighted average as a filtered pixel of the first video image. Of course, many alternatives, variations and modifications are possible without departing from this embodiment. | 06-18-2009 |
20090154826 | METHOD AND APPARATUS FOR ELIMINATING DEFECTIVE PIXELS AND NOISE - A method and apparatus for eliminating defective pixels and noise in which each pixel value of an image is extracted using a color filter. A mean value of the extracted image is calculated A noise variance, a first threshold for determining whether a pixel is defective, and a second threshold for calculating a weight value for a pixel are all estimated from the mean value. There is a determination as to whether each pixel is defective, and a weight value, a weighted signal mean and a weighted signal variance of the each pixel are all calculated, and noise eliminated from the image using the noise variance, the weighted signal mean, and the weighted signal variance. | 06-18-2009 |
20090154827 | IMAGE PROCESSING APPARATUS AND METHOD - This invention is to easily generate a normal map at a low cost. Hence, image data representing the characteristic of the surface of paper is inputted using an image input device. The type of finish of the paper is determined. Filtering processing corresponding to the type of finish is performed for the image data. A normal map is generated from the image data on which the filtering processing is performed. | 06-18-2009 |
20090161978 | Halo Artifact Removal Method - A system for performing frame rate conversion of a video signal including a plurality of video frames. The system includes a projection generator adapted and configured to generate a forward projection pixel map from a first video frame and generate a backwards projection pixel map from a second video frame. A pixel kernel selector is adapted and configured to select a first kernel of pixels from the forward projection pixel map and to select a second kernel of pixels from the backwards projection pixel map that is co-sited with the first kernel. A median filter engine is adapted and configured to perform median filtering on the first and second pixel kernels and to generate a filter value. A processor adapted and configured to determine the minimum error value of a group of a forward error value, a backward error value, and a average error value, and select an output pixel value that corresponds to a minimum error value. | 06-25-2009 |
20090169128 | METHOD FOR UP-SCALING AN INPUT IMAGE AND AN UP-SCALING SYSTEM - The invention relates to techniques of up-scaling an input image represented by an input video signal in an image up-scaling system, especially to a method and an image up-scaling system for up-scaling an input image represented by an input video signal, the method comprising steps of receiving and processing the input video signal in an up-scaling device ( | 07-02-2009 |
20090185753 | IMAGE PROCESSING METHOD AND APPARATUS - A method of processing an image includes traversing pixels of an image in a single pass over the image. An inverting function is applied to the pixels. A recursive filter is applied to the inverted pixel values. The filter has parameters which are derived from previously traversed pixel values of the image. A pixel value is combined with a filter parameter for the pixel to provide a processed pixel value for a processed image. | 07-23-2009 |
20090202168 | IMAGE PROCESSING CIRCUIT, IMAGE PROCESSING METHOD, AND CAMERA - An image processing circuit includes a memory configured to store an image retrieved from an image pick-up element, wherein the image is written on a plurality of rows of a two dimensional storage area of the memory and a filtering circuit configured to perform a filtering process with respect to each pixel data on a row when the image is written on the plurality of rows of the two-dimensional storage area of the memory. | 08-13-2009 |
20090214129 | Apparatuses and methods for noise reduction - Methods and apparatuses provide noise reduction in a demosaiced digital image by processing the digitized signals received from a color pattern pixel array for noise reduction previous to, or as part of, a demosaicing process by using a weight matrix. | 08-27-2009 |
20090214130 | RADIATION IMAGE PROCESSING APPARATUS - A filter processing means removes periodic patterns caused by a scattered radiation removing means from radiation images, which are obtained by detecting radiation that has passed through the scattered radiation removing means with a radiation detector. The filter processing means removes only the spatial frequency components of the periodic pattern from the radiation images. | 08-27-2009 |
20090220166 | FILTER FOR BLOCKING IMAGE-BASED SPAM - A network device and method are directed towards detecting and blocking image spam within a message by employing a weighted min-hash to perform a near duplicate detection (NDD) of determined features within an image as compared to known spam images. The weighting for the min-hash is determined based on employing a machine learning algorithm, such as a perceptron, to identify an importance of each bit in a signature vector of the image. The signature vector is generated by extracting a shape of text in the image using a Discrete Cosine Transform, extracting low-frequency characteristics using a high-pass filter, and then performing various morphological operations to emphasize the shape of the text and reduce noise. Selected feature bits are extracted from the lowest frequency and intensity bits of the resulting signal to generate the signature vector used in the weighted min-hash NDD. | 09-03-2009 |
20090220167 | COMPUTED TOMOGRAPHY RECONSTRUCTION FROM TRUNCATED SCANS - A system is provided for reconstructing image data having truncated scans. The system includes a padding section for providing non-zero padding to truncated portions of the image data, a pre-weighting section for pre-weighting the image data including both the non-truncated portions and the non-zero padded portions, a filter section for filtering the pre-weighted image data, and a reconstruction section for reconstructing the filtered image data. | 09-03-2009 |
20090220168 | Signal Processing Apparatus and Method, and Program - A signal processing apparatus for performing a filtering process on an input image using a plurality of filters to generate an output image includes the following elements. A region variance value calculating unit calculates a region variance value for a region around a predetermined pixel used as a pixel of interest on the input image. A filter processing unit applies a filtering process to a pixel value of the pixel of interest using the filters. A reflection amount determining unit determines a reflection amount based on the region variance value. A combining unit calculates a pixel value of a pixel of the output image corresponding to the pixel of interest on the basis of respective filter output values obtained by filtering processes applied by a plurality of filter processing units, respective reflection amounts determined with respect to the filter output values, and the pixel value of the pixel of interest. | 09-03-2009 |
20090238486 | Image processing system, method and computer program for contrast enhancement of images - The present invention relates to an image processing system, method and computer program for contrast enhancement of images, and more specifically to an improvement of multi-scale adaptive gain control of images. An image processing system ( | 09-24-2009 |
20090245679 | IMAGE PROCESSING APPARATUS - An image processing apparatus calculates an absolute difference in pixel values between each pixel (target pixel) of the image and each of neighboring pixels of the target pixel, and a sum of the absolute differences with respect to the target pixel, calculates a threshold using the sum of the absolute differences with respect to the target pixel and a weight previously determined, the threshold being used as a reference for determining whether the pixel values of the neighboring pixels are used in a smoothing process for the target pixel, and performing a smoothing process by means of an edge-preserving smoothing filter, based on whether the absolute difference in pixel values between the target pixel and each of the neighboring pixels of the target pixel exceeds the threshold. | 10-01-2009 |
20090257671 | Method and apparatus for identifying an imaging device - A new technique for identifying from images a camera, or other imaging device such as a scanner, is based on the device's reference noise pattern, a unique stochastic characteristic of all common digital imaging sensors, including CCD, CMOS (Foveon™ X3), and JFET. First, one determines from images the sensor's reference pattern noise, which uniquely identifies each sensor. To identify the sensor from a given image, the presence or absence of the reference pattern noise in the image under examination is established using a correlation detector or other means. | 10-15-2009 |
20090257672 | Noise Filter - Provided is a system and method for processing data and images including, but not limited to separating data into a plurality of data planes; performing noise analysis to determine an average noise amplitude and noise distribution for each data plane via a gradient calculation; applying an edge mask to weaken isolated transients in one or more of the data planes; applying a noise filter using one or more levels of filtering to one or more of the data planes; and performing detail recovery combining a composite data plane and filtered and unfiltered data planes according to the noise analysis. | 10-15-2009 |
20090285501 | IMAGE PROCESSING APPARATUS, AN IMAGE PROCESSING METHOD, AND A COMPUTER READABLE MEDIUM HAVING RECORDED THEREON A PROCESSING PROGRAM FOR PERMITTING A COMPUTER TO PERFORM IMAGE PROCESSING ROUTINES - In order to provide an image processing apparatus and an image processing method whereby a high quality output image can be consistently obtained, regardless of the order in which an operator sets the parameters for the performance of filtering, (I) a GUI module ( | 11-19-2009 |
20090285502 | IMAGE ACQUIRING METHOD, IMAGE PROCESSING METHOD, AND IMAGE TRANSFORMING METHOD - An image is picked up through sampling in a predetermined sampling pattern to acquire an image signal representing the image. Sampling information, which concerns the predetermined sampling pattern, is appended to the image signal, which has been acquired. The sampling information is information for discriminating checkered sampling and square sampling from each other. Different sharpness enhancement processing is performed on the image signal and in accordance with the sampling information to obtain a processed image signal. The different sharpness enhancement processing may be a processing in accordance with frequency characteristics of the image signal, which has been acquired, due to the sampling pattern. | 11-19-2009 |
20090310880 | SIGNAL PROCESSING APPARATUS AND METHOD, AND PROGRAM - A signal processing apparatus includes a separation unit configured to separate first image data into a first component in which an edge of the first image data is saved and a second component in which elements other than the edge are saved, an improvement unit configured to apply a processing of improving a transient on the first component separated by the separation unit, and an adder unit configured to add the first component on which the processing by the improvement unit is applied with the second component separated by the separation unit and output second image data obtained as a result of the addition. | 12-17-2009 |
20090317013 | Image format conversion system - An image format conversion system includes a horizontal filter to receive an image input signal with a frequency of a first clock signal in order to perform a filtering operation to thereby produce a horizontal filtering image signal; a first FIFO to temporarily store the horizontal filtering image signal; a 2D image interpolator to perform a deinterlacing, a vertical interpolation and a horizontal interpolation operations on the horizontal filtering image signal to further produce a scaled progressive image signal; a second FIFO connected to the 2D image interpolator to temporarily store the scaled progressive image signal; an interpolation clock controller to receive a second clock signal and produce multiple enable signals in order to enable the horizontal filter and the 2D image interpolator, wherein the second clock signal has a frequency independent of the frequency of the first clock signal. | 12-24-2009 |
20090324121 | Automatic parameter estimation for adaptive pixel-based filtering - One particular automatic parameter estimation method and apparatus estimates low level filtering parameters from one or more user controlled high-level filtering parameters. The high level filtering parameters are strength and quality, where strength indicates how much noise reduction will be performed, and quality indicates a tolerance which controls the balance between filtering uniformity and loss of detail. The low level filtering parameters that can be estimated include the spatial neighborhood and/or temporal neighborhood size from which pixel candidates are selected, and thresholds used to verify the “goodness” of the spatially or temporally predicted candidate pixels. More generally, a criterion for filtering digital image data is accessed, and a value is determined for a parameter for use in filtering digital image data, the value being determined based on whether the value results in the criterion being satisfied for at least a portion of a digital image. | 12-31-2009 |
20090324122 | IMAGE PROCESSING METHOD AND RELATED APPARATUS - The present invention discloses an image processing method. The image processing method includes: performing an edge detection upon image data to generate an image edge detection result; determining an adjusting parameter corresponding to a target pixel according to the image edge detection result; and adjusting a gray value of the target pixel according to the adjusting parameter. | 12-31-2009 |
20090324123 | Image processing method, image processing apparatus, and image processing program - The amount of time spent extracting linear noise components is reduced, when removing linear noise components from an image. A reduced image is generated, by reducing a radiation image in at least one of the vertical and horizontal directions. A linear noise image that represents linear noise components in the Y direction is generated, by extracting linear noise components from the reduced image. Thereafter, the generated linear noise image is enlarged to the image size of the original image; the linear noise components are removed from the radiation image, employing the enlarged linear noise image. | 12-31-2009 |
20100014770 | Method and apparatus providing perspective correction and/or image dewarping - Methods and apparatuses for providing dewarping and/or perspective correction of an input image are disclosed. Described embodiments include processing that provides dewarping and/or perspective correction by associating pixel values identified by input pixel addresses corresponding to an input image with output pixel addresses corresponding to an output image. An image processor having a storage circuit and an address mapping unit for determining a corresponding input pixel address from an output pixel address is also disclosed. | 01-21-2010 |
20100027904 | IMAGE PROCESSING APPARATUS AND METHOD, AND A RECORDING MEDIUM STORING A PROGRAM FOR EXECUTING THE IMAGE PROCESSING METHOD - An image processing apparatus and method for quickly and effectively reducing noise in images processed by apparatuses having a low hardware specification, and a program for executing the image processing method. The image processing apparatus includes an image dividing unit for obtaining a plurality of first sub-image data items corresponding to a plurality of first sub-images that are obtained by dividing a first image corresponding to first image data, a noise reducing unit for obtaining a plurality of second sub-image data items corresponding to a plurality of second sub-images by reducing noise in the first sub-images from the first sub-image data items that are obtained by the image dividing unit, and an image synthesizing unit for obtaining second image data corresponding to a second image corresponding to the plurality of second sub-images from the plurality of second sub-image data items that are obtained by the noise reducing unit. | 02-04-2010 |
20100040301 | IMAGE PROCESSING METHOD WITHOUT PARAMETERS - The aim of the invention is to provide a method that increases the discernibility of fine structures in an input image and that suppresses noise. Said method comprises the following steps: calculation of a Fourier-transformation I(k) of the input image; calculation of a scaled power spectrum P | 02-18-2010 |
20100046851 | TWO-DIMENSIONAL FILTER ARITHMETIC DEVICE AND METHOD - A two-dimensional filter arithmetic device comprises a picture memory ( | 02-25-2010 |
20100054621 | DUAL LOOKUP TABLE DESIGN FOR EDGE-DIRECTED IMAGE SCALING - In general, the disclosure describes various techniques for providing edge-directed scaling filters that may be used to scale image data. An example device includes a storage medium configured to store a first lookup table and a second lookup table, and one or more processors configured to obtain one or more gradient values that each indicates a gradient between values of at least two pixels in a source image. The one or more processors are also configured to generate one or more inverse gradient values from a first lookup table based on the gradient values, and to generate one or more edge-directed scaling filter coefficients from a second lookup table based on the inverse gradient values. The one or more processors may be further configured to generate an edge-directed filter based on the coefficients, and to apply the filter to the at least two pixels to generate an interpolated pixel. | 03-04-2010 |
20100061648 | PROTECTION FILTER FOR IMAGE AND VIDEO PROCESSING - A filter includes a conventional filtering block and a protection block. The conventional filtering block receives input values and provides filtered values. The protection block receives filtered values and a group of input values proximate the current input, to ensure that the output is lies within a range computed for the current input. The range is determined by the protection block based on the group of input values proximate the current input. Any algorithm or statistical function may be applied to the group of input values to determine the range. If a filtered value provided by the conventional filtering block is outside the range, then the protection block computes and outputs a value that is within the range. The filter may be used in temporal or spatial filtering of images and video to mitigate artifacts such as motion artifacts and static artifacts. | 03-11-2010 |
20100067818 | System and method for high quality image and video upscaling - A low complexity upscaling method to generate higher resolution image and video with high quality is described herein. Natural edge smoothness and sharpness are preserved while overshooting artifacts and the “edge dilation” problem are eliminated. To obtain edge smoothness and remove jaggy artifacts along the edge, a bi-directional filtering which is based on two orthogonal directions is used to generate higher resolution pixels. The direction close to the edge direction is heavily weighted, and the direction far from the edge direction is lightly weighted. The weight of each direction is determined by the developed directional vector difference measurement method. To eliminate the overshooting artifacts and solving the thick edge problem, a dual-sided interpolation method is implemented. By using the dual-sided interpolation method, the interpolation result is pushed towards a dominant transition desired location which removes overshooting artifacts. A thin and sharp edge is obtained instead of a blurred, thick edge. | 03-18-2010 |
20100067819 | IMAGE ENHANCEMENT METHOD USING LOCAL GAIN CORRECTION - The present invention relates to a method for image enhancement. The method includes the steps of: replacing a value of a pixel of a digital image with a maximum one of values of red, green and blue sub-pixels of the pixel; selecting a specific pixel from pixels of the digital image; selecting some of the pixels surrounding the specific pixel to constitute a specific block; calculating an average of values of the pixels of the specific block; providing multiple curve functions; obtaining a corresponding one of the curve functions according to the average, and substituting the value of the pixel of the image into the curve functions to obtain new output brightness values. | 03-18-2010 |
20100067820 | IMAGE PROCESSING APPARATUS AND STORAGE MEDIUM STORING IMAGE PROCESSING PROGRAM - An image processing apparatus includes a registration unit for executing a registration process among a plurality of images; an image synthesis unit for superposing the plurality of images subjected to registration in the registration unit to synthesize the plurality of images and generate a synthetic image; a frequency characteristic measurement unit for measuring a frequency characteristic of the synthetic image; and a registration error detection unit for detecting an error of the registration process among the plurality of images based on the measured frequency characteristic of the synthetic image. | 03-18-2010 |
20100074548 | Image sharpening technique - A sharpening technique for digital images for presentation on a display. The technique may include an upscaling process, a noise reduction process, and a sharpening process. The technique may further use a single buffer for the upscaling, noise reduction, and sharpening. | 03-25-2010 |
20100080483 | VIDEO ANALYTICS SYSTEM, COMPUTER PROGRAM PRODUCT, AND ASSOCIATED METHODOLOGY FOR EFFICIENTLY USING SIMD OPERATIONS - A video analytics system and associated methodology for performing low-level video analytics processing divides the processing into three phases in order to efficiently use SIMD instructions of many modern data processors. In the first phase, pixels of interest are gathered using a predetermined mask and placed into a pixel matrix. In the second phase, video analytics processing is performed on the pixel matrix, and in the third phase the pixels are scattered using the same predetermined mask. This allows many pixels to be processed simultaneously, increasing overall performance. A DMA unit may also be used to offload the processor during the gathering and scattering of pixels, further increasing performance. A network camera integrates the video analytics system to reduce network traffic. | 04-01-2010 |
20100092101 | METHODS AND APPARATUS FOR ENHANCING IMAGE QUALITY OF MOTION COMPENSATED INTERPOLATION - A method for enhancing image quality of motion compensated interpolation includes generating an interpolated frame according to at least two source frames by analyzing motion estimation information of the two source frames. The method further includes: regarding a pixel under consideration within the interpolated frame, selectively performing post filtering according to motion estimation information of a region where the pixel is located. Accordingly, an apparatus for enhancing image quality of motion compensated interpolation is also provided. | 04-15-2010 |
20100092102 | METHOD AND APPARATUS FOR IMAGE PROCESSING - An input image is decomposed into a residual image and a set of detail images in different levels of a hierarchy. The set of detail images are enhanced after which noise reduction filtering is directly applied to the enhanced set of detail images without the need to apply noise estimation to a local area of the enhanced set of detail image in advance. The residual image and the set of detail images with reduced noise are recomposed so as to obtain resultant image. | 04-15-2010 |
20100098347 | Image processing apparatus, image processing method, and program - An image processing apparatus includes a gradation converting unit configured to simultaneously perform space-direction ΔΣ modulation and time-direction ΔΣ modulation on an image, thereby converting a gradation level of the image. | 04-22-2010 |
20100104209 | DEFECTIVE COLOR AND PANCHROMATIC CFA IMAGE - A method of improving a first color filter array image from an image sensor having a plurality of color channels and a panchromatic channel, includes capturing the panchromatic channel at a different exposure time than at least one of the color channels with the image sensor; using the color channels to provide a luminance channel; and analyzing the color filter array image and the luminance channel to determine defective pixels in the color channels and using neighboring color and luminance pixel values to improve the defective pixels to produce a second color filter array image or full-color image having at least one improved channel. | 04-29-2010 |
20100104210 | METHOD AND APPARATUS FOR SPATIO-TEMPORAL SUBBAND VIDEO ENHANCEMENT WITH SMALL TIME DELAY - Video processing method and means for enhancing a video stream, by computing transform coefficients using a spatio-temporal transform comprising a spatial subband transform and a causal time wavelet transform performing filterings with multiscale causal wavelets, modifying the transform coefficients with a nonlinear processing, and computing a processed video stream from the modified transform coefficients using a spatio-temporal reconstruction transform comprising an inverse subband transform and a short delay inverse time wavelet transform, where the short delay inverse time wavelet transform is implemented with wavelet filters modified with window functions to control the processing delay of the entire video processing method. | 04-29-2010 |
20100104211 | Image processing apparatus, image processing method, and computer program - An image processing apparatus includes: ΔΣ modulation means for applying ΔΣ modulation to an image; analog conversion means for converting a signal of the image, whose gradation is converted by the ΔΣ modulation means, into an analog signal; digital output means for outputting a digital signal of the image after gradation conversion; and analog output means for outputting an analog signal of the image after gradation conversion. The ΔΣ modulation means includes arithmetic means for filtering a quantization error; adding means for adding a pixel value of the image and output of the arithmetic means; quantization means for quantizing output of the adding means and outputting a quantized value; and subtracting means for calculating a difference between the output of the adding means and the quantized value. A filter coefficient for the filtering corresponding to the analog output is determined according to a frequency characteristic of the analog conversion means. | 04-29-2010 |
20100142842 | IMAGE PROCESSING DEVICE FOR DETERMINING CUT LINES AND RELATED METHODS - An image processing device may include a memory, and a controller cooperating with the memory for registering images including overlapping portions to define a mosaic image. The controller may also perform an operation on the images to determine features of mutual interest for the overlapping portions, and determine cut lines for the mosaic image based upon the features of mutual interest for the overlapping portions. | 06-10-2010 |
20100150465 | METHOD AND APPARATUS FOR REMOVING IMAGE NOISE - Provided are a method and apparatus for removing image noise. The method includes: separating an input image signal into a signal component and a noise component; converting the noise component into a decorrelated noise component that is spatiotemporally decorrelated from neighboring pixels; and generating an image signal by adding the decorrelated noise component to the signal component. | 06-17-2010 |
20100158405 | Aspect Ratio Distortion Minimization - According to one embodiment of the invention, a method is provided for aspect ratio distortion minimization. The method includes receiving input pixels from a video source. The method then determines an input position and scale factor for each input pixel. A count value determines that a pixel should be outputted. A polyphase finite impulse response filter is centered on a particular input pixel based on the count value. An output pixel is generated using the polyphase finite response filter on a particular input pixel based on the count value and output pixels are outputted. | 06-24-2010 |
20100166333 | NOISE FILTER - A noise filter according to an embodiment includes: a first filter that functions as an edge detector to detect a high-frequency component area of an image; a second filter that performs a noise filtering function for the remaining areas of the image while conserving the high-frequency component area detected by the first filter; and a function processor that controls operations of the first filter and the second filter. According to an embodiment, since noise filtering for only a noise component area is performed by dividing the image into a high-frequency component area and a noise component area, it is possible to minimize deterioration of the high-frequency area and improve the resolution and quality of the image. | 07-01-2010 |
20100172596 | Systems and Methods for Image Enhancement in Multiple Dimensions - A multi-dimensional data enhancement system uses large kernel filtering, decimation, and interpolation, in multi-dimensions to enhance the multi-dimensional data in real-time. The multi-dimensional data enhancement system is capable of performing large kernel processing in real-time because the required processing overhead is significantly reduced. The reduction in processing overhead is achieved through the use of low pass filtering and decimation that reduces the amount of data that needs to be processed in order to generate an unsharp mask comprising low spatial frequencies that can be used to process the data in a more natural way. | 07-08-2010 |
20100177981 | Face image processing method - A face image processing method is applied to an electronic device, such that the electronic device can perform a face detection to a digital image to obtain a face image in the digital image automatically, and perform a skin color detection to the face image to exclude non-skin features such as eyes, eyeglasses, eyebrows, a moustache, a mouth and nostrils on the face image, and form a skin mask in an area range of the face image belonging to skin color, and finally perform a filtering process to the area range of the face image corresponding to the skin mask to filter high-frequency, mid-frequency and low-frequency noises of an abnormal skin color in the area range of the face image, so as to quickly remove blemishes and dark spots existed in the area range of the face image. | 07-15-2010 |
20100183236 | Method, medium, and apparatus of filtering depth noise using depth information - A depth noise filtering method and apparatus is provided. The depth noise filtering method may perform spatial filtering or temporal filtering according to depth information. In order to perform spatial filtering, the depth noise filtering method may determine a characteristic of a spatial filter based on depth information. Also, in order to perform temporal filtering, the depth noise filtering method may determine a number of reference frames based on depth information. The depth noise filtering method may adaptively remove depth noise according to depth information and thereby enhance a noise filtering performance. | 07-22-2010 |
20100183237 | DEVICE AND METHOD FOR INTERPOLATING IMAGE, AND IMAGE SCANNER - An image interpolation device comprises a data storage unit ( | 07-22-2010 |
20100189372 | METHOD FOR ACQUIRING PHASE INFORMATION AND SYSTEM FOR MEASURING THREE DIMENSIONAL SURFACE PROFILES - The present invention provides a band-pass filter, being capable of fitting a frequency spectrum area having phase information in a frequency spectrum image, to obtain a spectrum information corresponding to the phase information during the process of obtaining the phase information from the frequency spectrum image with respect to an object's surface profile. In another embodiment, the present invention further provides a method to optimize the spectrum range of the band-pass filter so as to enhance measuring accuracy and efficiency while restoring the surface of the object. In addition, by employing the foregoing method, the present invention further provides a measurement system for measuring three-dimensional surface shapes in which a deformed fringe pattern with respect to the measured object's surface is acquired and the phase information is obtained from the fringe pattern according to the foregoing method so as to restore the surface profile of the measured object. | 07-29-2010 |
20100195926 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - The image processing apparatus according to the present invention includes a recording section that stores an image to be processed and a past image corresponding to the image to be processed, a pixel extraction section that extracts a first predetermined region including a target pixel in the image to be processed and a second predetermined region of the past image corresponding to the target pixel, a noise amount estimation section that estimates an amount of noise corresponding to the target pixel, a similitude calculating section that calculates a first similitude between the target pixel in the first predetermined region and pixels peripheral thereto and a second similitude between the target pixel in the first predetermined region and a pixel in the second predetermined region, a similitude feature value calculating section that calculates a feature value according to the similitude, a similitude correcting section that corrects the similitude based on the feature value, a filter coefficient calculating section that calculates a filter coefficient based on the corrected similitude, and a noise reduction section that reduces noise of the target pixel based on the filter coefficient. | 08-05-2010 |
20100195927 | METHOD AND DEVICE FOR VIDEO IMAGE PROCESSING, CALCULATING THE SIMILARITY BETWEEN VIDEO FRAMES, AND ACQUIRING A SYNTHESIZED FRAME BY SYNTHESIZING A PLURALITY OF CONTIGUOUS SAMPLED FRAMES - To acquire a high-resolution frame from a plurality of frames sampled from a video image, it is necessary to obtain a high-resolution frame with reduced picture quality degradation regardless of motion of a subject included in the frame. Because of this, between a plurality of contiguous frames Fr | 08-05-2010 |
20100209013 | REGISTRATION OF 3D POINT CLOUD DATA TO 2D ELECTRO-OPTICAL IMAGE DATA - Method and system for registration of a two dimensional image data set and a three-dimensional image comprising point cloud data. The method begins by cropping a three-dimensional volume of point cloud data comprising a three-dimensional image data to remove a portion of the point cloud data comprising a ground surface within a scene, and dividing the three-dimensional volume into a plurality of m sub-volumes. Thereafter, the method continues by edge-enhancing a two-dimensional image data. Then, for each qualifying sub-volume, creating a filtered density image, calculating a two-dimensional correlation surface based on the filtered density image and the two-dimensional image data that has been edge enhanced, finding a peak of the two-dimensional correlation surface, determining a corresponding location of the peak within the two-dimensional image, defining a correspondence point set; and storing the correspondence point set in a point set list. Finally, a transformation is determined that minimizes the error between a plurality of the correspondence point sets contained in the point set list. | 08-19-2010 |
20100209014 | Suppressing Interference In Imaging Systems - According to one embodiment, an imaging system includes an interface, a plurality of filters, and a processor. The interface receives data blocks. The processor associates each data block with a processing step list that represents a filter chain that has at least a subset of the filters coupled in sequence. The processor filters each data block according to the filter chain represented by the associated processing step list. | 08-19-2010 |
20100215284 | System and Method for Implementing Graphics and Video Scaling Algorithm Using Interpolation Based on Symmetrical Polyphase Filtering - A video processing system may implement a video scaling algorithm using interpolation based on polyphase filtering. A video or graphics scaler may be utilized to scale luma, chroma, and/or alpha information in a video image. The scaler may comprise a first polyphase sub-filtering with zero phase shift that generates an in-phase filtered output from an input video image and a second polyphase sub-filtering that generates an out-of-phase filtered output from the input video image. The video scaler may also comprise an interpolator that may generate a scaled video image based on the generated in-phase and out-of-phase filtered outputs and a scaling factor. The scaling factor may be determined based on an input video size (M) and a desired output video size (N). The interpolation of the generated in-phase and out-of-phase filtered outputs in the video scaler may be implemented by utilizing a Farrow structure. | 08-26-2010 |
20100246990 | SYSTEM AND METHOD FOR MEASURING BLOCKINESS LEVEL IN COMPRESSED DIGITAL VIDEO - Embodiments include systems and methods of measuring a blockiness level in video data that has been encoded and decoded. In one embodiment, a Q-value is calculated that indicates the blockiness level of a decompressed image. The Q-value can be based on a block map having indicators corresponding to each of a plurality of pixels in an input image, each indicator signaling if a block edge is present at the corresponding pixel location in the input image, and also based on block locations indicative of the alignment block edge locations in the input image. The Q-value can be calculated in a vertical direction and a horizontal direction with respect to the input image. The Q-value is determined based on a flatness measurement of pixel values around certain considered pixels in the input image. The Q-value can be provided to a deblocking filter to improve the performance of deblocking the input image. | 09-30-2010 |
20100246991 | IMAGE PROCESSING DEVICE AND METHOD, PROGRAM RECORDING MEDIUM, AND IMAGING SYSTEM - A number of invalid pixels at an outer peripheral part is reduced while suppressing an influence on an image quality such as discontinuity by pixel expansion, and suppressing increase in a number of processing pixels. When sequentially generating a plurality of reduced images having resolutions different from each other by sequentially performing a reduction process on an input image when realizing a noise reduction process using multiresolution transformation, the pixel expansion process of expanding the pixels at the outer peripheral part of the image of the reduced image is performed at least once before performing one of the reduction processes, and the reduced image after the pixel expansion process is further reduced to generate the plurality of reduced images. | 09-30-2010 |
20100266218 | METHOD FOR DEBLURRING AN IMAGE THAT PRODUCES LESS RINGING - A method for reducing blurring in a blurred image ( | 10-21-2010 |
20100266219 | Filter and Method for Removing Image Errors and Associated Display Circuit - A filter for eliminating image errors, as well as associated method and TV signal display circuit, is provided to determine the filter coefficients according to the regularity of image errors in an image signal or a TV signal, thereby removing the image errors. The filter includes a plurality of multipliers and an adder. The multipliers receive a plurality of pixel values from a plurality of scan lines, multiply the pixel values by a plurality of corresponding weight coefficients and output the result; the adder sums up the outputs of the multipliers to generate an output pixel value. The errors have a regularity and the corresponding weight coefficients are associated with the regularity such that the errors of the pixel values may be canceled when the adder generates the output pixel value. | 10-21-2010 |
20100272375 | Image processing apparatus and image processing method - An image processing apparatus that performs filter processing of image data includes a filter processing unit that performs filter processing by reflecting a correction value in a pixel value, an adjustment value generation unit that generates a gain value based on display position of a pixel, and a correction value change unit that changes the correction value based on the gain value generated by the adjustment value generation unit. | 10-28-2010 |
20100278447 | Method and system for adaptive context-embedded prediction - One embodiment of the present invention is directed to an adaptive context-based predictor that predicts a value {circumflex over (x)} from a context, stored in an electronic memory, corresponding to a noisy-dataset symbol z | 11-04-2010 |
20100303374 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM - According to one aspect of the invention, an image processing apparatus comprises: a unit configured to obtain an input image and a subsequent image; a unit configured to obtain N replicated images from the input image; a generating unit configured to generate a low-frequency enhanced image; a subtraction unit configured to generate a high-frequency enhanced image; a synthesizing unit configured to generate a high-frequency output image; and an output unit configured to select and output one of the low-frequency enhanced image and the high-frequency output image. The generating unit comprises a unit configured to obtain a motion vector of an object, and a filter unit configured to apply the filter to pixels around a specified pixel position Q in the replicated image, to obtain a pixel value at a pixel position P in the low-frequency enhanced image. | 12-02-2010 |
20100310190 | SYSTEMS AND METHODS FOR NOISE REDUCTION IN HIGH DYNAMIC RANGE IMAGING - This is generally directed to systems and methods for noise reduction in high dynamic range (“HDR”) imaging systems. In some embodiments, multiple images of the same scene can be captured, where each of the images is exposed for a different amount of time. An HDR image may be created by suitably combining the images. However, the signal-to-noise ratio (“SNR”) curve of the resulting HDR image can have discontinuities in sections of the SNR curve corresponding to shifts between different exposure times. Accordingly, in some embodiments, a noise model for the HDR image can be created that takes into account these discontinuities in the SNR curve. For example, a noise model can be created that smoothes the discontinuities of the SNR curve into a continuous function. This noise model may then be used with a Bayer Filter or any other suitable noise filter to remove noise from the HDR image. | 12-09-2010 |
20100322530 | Method and Apparatus for FIR Filtering Using Space-Varying Rotation - A method and apparatus for finite impulse response (FIR) filter bank architecture and method that involve low-complexity computation resources are described. In one embodiment, a digital image processing system includes an index mapping module to determine a rotation angle index to control rotation of an input patch of an image based on the (x,y) pixel coordinates of the image patch. The digital image processing system may also include a rotation module to rotate the input patch of the image based on the rotation angle index. In one embodiment, the digital image processing system may further include a filter engine module applied to a rotated version of the input patch of the image. | 12-23-2010 |
20100329583 | NON-UNIFORMITY ERROR CORRECTION WITH A BILATERAL FILTER - Correction of spatial nonuniformities among detectors in a focal plane array. Incoming image data is incident on the array, and the resulting image signals are corrected with a bilateral filter. The bilateral filter accounts for edge effects by filtering based both on spatial separation between image points and photometric separation between image points. | 12-30-2010 |
20110007982 | Methods and Systems for Reducing Compression Artifacts - Aspects of the present invention are related to systems and methods for reducing compression artifacts. Decoded and displayed images and videos that have been compressed may exhibit visually objectionable artifacts. Aspects of the present invention relate to methods and systems for reducing visible artifacts by selectively filtering an image region based on a combination of a motion indicator and an edge-strength indicator. | 01-13-2011 |
20110007983 | METHOD AND APPARATUS OF DETECTING IMAGE OBJECTS - An image object detection apparatus includes a noise filtering block for removing image noise an input image, an image scaling block for scaling the noise-removed input image to produce a scaled input image, an image conversion block for dividing the scaled input image into multiple regions and converting the divided image by a modified census transform (MCT) method, a data processing block for comparing MCT values of the image converted by the MCT method with a preset threshold, detecting at least one candidate region and identifying a human region from said at least one detected candidate region, and an image output block for marking the identified human region on the noise-removed input image. | 01-13-2011 |
20110019933 | INFORMATION PROCESSING APPARATUS, LINE NOISE REDUCTION PROCESSING METHOD, AND COMPUTER-READABLE STORAGE MEDIUM - An information processing apparatus performs first filter processing to combine pixels of an image along a predetermined direction. A line noise image is extracted by executing second filter processing for the processed image along a direction different from the predetermined direction. The extracted line noise image is subtracted from the image to acquire a line noise reduced image. | 01-27-2011 |
20110026848 | METHOD AND SYSTEM FOR ROBUST UNIVERSAL DENOISING OF NOISY DATA SETS - Embodiments of the present invention provide context-class-based universal denoising of noisy images and other noise-corrupted data sets. Prediction-error statistics for each prediction class, relative to a prefiltered image, are collected to estimate a bias for each prediction class, and prediction-error statistics for each conditioning class, relative to a prefiltered image, are accumulated based on the difference between predicted values and corresponding prefiltered-image symbols. The prediction-error statistics are accumulated using computed prediction-error-statistics vectors, with inversion of a prediction-error vector generated from each prediction prior to accumulation in a prediction-error-statistics vector. Conditional probability distributions are computed for individual contexts, which allow for computing a clean-image-estimated, value for each noisy-image value by minimizing a computed distortion over a range of possible estimated-clean-image symbols. | 02-03-2011 |
20110026849 | IMAGE PROCESSING APPARATUS AND METHOD, DATA PROCESSING APPARATUS AND METHOD, AND PROGRAM AND RECORDING MEDIUM - The present invention determines the adopting ratio (weight coefficient) between the high image quality processing using the tensor projection method and the high image quality processing using another method according to the degree of deviation of the input condition of the input image, and combines these processes as appropriate. This allows a satisfactory reconstruction image to be acquired even in a case of deviation from the input condition, and avoids deterioration of the high quality image due to deterioration of the reconstruction image by the projective operation. | 02-03-2011 |
20110052091 | Directional Noise Filtering - Techniques in accordance with the following disclosure enable digital images to be filtered (smoothed) to reduce noise and, at the same time, preserve the image's underlying structure. In general, image pixels are analyzed to identify those that participate in, or belong to, structure within the image and those that do not. For those pixels determined to be part of the image's structure, the direction of that structure is determined and filtering or smoothing along that direction is provided. Contrast enhancement in a direction perpendicular to the detected edge's direction may also be provided. | 03-03-2011 |
20110069901 | Image Processing Apparatus, Display Device, and Image Processing Method - According to one embodiment, an image processing apparatus includes an ε filter that compares the difference between a pixel value of a target pixel to be processed and that of a surrounding pixel neighboring the target pixel in each pixel block of an input image with a predetermined threshold. When the difference exceeds the predetermined threshold, the ε filter performs the replacement of the pixel value of the surrounding pixel. The predetermined threshold includes at least two different thresholds, a first threshold and a second threshold larger than the first threshold. When the difference exceeds the second threshold, the ε filter performs the replacement of the pixel value of the surrounding pixel in stages such that the pixel value of the surrounding pixel approaches that of the target pixel. | 03-24-2011 |
20110069902 | IMAGE DENOISING METHOD - An image denoising method includes the steps of: sequentially selecting a pixel in an image as a current pixel; dynamically determining a current search block and a strength parameter; pre-denoising the comparison block of each pixel in the current search block; comparing the comparison block of the pre-denoised neighborhood pixel and the comparison block of the pre-denoised current pixel to obtain a similarity between each neighborhood pixel and the current pixel in the current search block; determining a weighting of each neighborhood pixel related to the current pixel according to the strength parameter, and a distance and the similarity between each neighborhood pixel and the current pixel in the current search block; and weighted averaging each neighborhood pixel and the current pixel in the current search block according to the weighting to obtain a reconstruction value of the current pixel. | 03-24-2011 |
20110085742 | FAST IMAGE RESOLUTION ENHANCEMENT WITH DE-PIXELING - An output image that corresponds to a higher-resolution version of a source image is produced. In this process, source pixels of the source image are processed with a set of linear non-separable filter kernels to produce the output image with a corresponding output pixel block of constituent output pixels for each of the source pixels. The set of filter kernels has a mean substantially equal to an identity filter such that a downscaling of the of the output image to a resolution level of the source image produces a downscaled image that is substantially identical to the source image. For each of the source pixels, each of the filter kernels in the set is applied to a local neighborhood of the source pixel to produce a respective value of each of the constituent output pixels of the corresponding output pixel block. | 04-14-2011 |
20110097007 | Iterative Reconstruction - An improved iterative reconstruction method to reconstruct a first image includes generating an imaging beam, receiving said imaging beam on a detector array, generating projection data based on said imaging beams received by said detector array, providing said projection data to an image reconstructor, enlarging one of a plurality of voxels and a plurality of detectors of the provided projection data, reconstructing portions of the first image with the plurality of enlarged voxels or detectors, and iteratively reconstructing the portions of the first image to create a reconstructed image. | 04-28-2011 |
20110097008 | METHOD FOR PROCESSING A DIGITAL OBJECT AND RELATED SYSTEM - The invention relates to the processing of a digital object that comprises: cancelling the noise of an original object (I) of a first type containing noise in order to obtain a noise-free object (J) of the first type; obtaining an object with a quasi-white noise of the first type from a difference (B) between the original object and the noise-free object; applying to the noise-free object (J) a first processing (t | 04-28-2011 |
20110097009 | DIGITAL IMAGE RESTORATION - A method of restoring a digital image, the method comprising partitioning the image into a plurality of blocks of pixels, processing each block to produce a restored block and concatenating the restored blocks to produce a restored digital image, wherein the step of processing each block comprises: i) padding the block with additional pixels having values extrapolated from a range of pixel values across the block to produce a padded block; si) performing a Fourier transform operation on the padded block to produce a transformed block; iii) applying an inverse blur filler to the transformed padded block to produce a filtered block; and Iv) performing an inverse Fourier transform on the filtered block to obtain the restored block. | 04-28-2011 |
20110103708 | IMAGE PROCESSING APPARATUS AND METHOD OF CONTROLLING THE SAME - To reduce flickering in driving distributed processing, an image processing apparatus which generates and outputs a plurality of sub frame images having different luminance patterns for each of a plurality of frame images included in input moving image data, includes a filtering unit configured to perform filter processing for the frame image, a setting unit configured to set a first coefficient A and a second coefficient B, a first generation unit configured to generate a first sub frame image, a second generation unit configured to generate a second sub frame image, and an output control unit configured to selectively output the first sub frame image and the second sub frame image at a predetermined timing. | 05-05-2011 |
20110103709 | DIGITAL IMAGE SIGNAL PROCESSING APPARATUS AND METHOD - A digital image signal processing apparatus includes a plurality of line memories, a line memory control unit that controls input image data corresponding to an input image to be input to each of the plurality of line memories and to be output from the plurality of line memories, a data patch generating unit that sequentially accesses the input image data stored in each of the plurality of line memories and generates a data patch for noise reduction filtering, and a filtering unit that performs the noise reduction filtering on the data patch and generates output image data. A digital image signal processing apparatus and method thereof thus may perform a high-speed noise reduction filtering operation and generate an output image having a same size as an input image while maintaining a same quality as the input image. | 05-05-2011 |
20110110602 | IMAGE PROCESSING APPARATUS AND CONTROL METHOD THEREOF, AND COMPUTER-READABLE STORAGE MEDIUM - An image processing apparatus that converts a frame rate by creating a sub-frame from an input frame and outputting the sub-frame, the image processing apparatus includes a generation unit configured to generate the sub-frame from the input frame, a calculation unit configured to calculate a feature amount of brightness of the input frame, and a control unit configured to perform control so as to reduce luminance of the sub-frames generated by the generation unit based on the feature amount calculated by the calculation unit. | 05-12-2011 |
20110110603 | FILTER DEVICE - A filter device ( | 05-12-2011 |
20110116727 | METHOD AND APPARATUS FOR PERFORMING PARALLEL BOX FILTERING IN REGION BASED IMAGE PROCESSING - A method and apparatus for performing parallel box filtering in region based image processing is provided. The method of performing parallel box filtering in region based image processing includes selecting parallel pixel blocks having a size of M×N to be operated in parallel, selecting pixels included in a mask region having a size of K×L that is a parallel pixel operation region and a first region having a size of (M+K−1)×(N+L−1) that corresponds to overlapping masks of M*N, selecting pixels of a second region commonly included in the mask regions of M*N and storing the results of operation with respect to the pixels of the second region as repeated operation values, and operating block operation values with respect to the parallel pixel blocks using the repeated operation values. | 05-19-2011 |
20110123131 | IMAGE PROCESSING DEVICE AND METHOD - The present invention relates to an image processing device and method that enable generation of a highly precise prediction image without increasing a processing load. | 05-26-2011 |
20110135216 | IMAGE PROCESSING METHOD, IMAGE PROCESSING APPARATUS, AND IMAGE PICKUP APPARATUS FOR CORRECTING DEGRADATION COMPONENT OF IMAGE - An image processing method includes the steps of obtaining an image generated by an image pickup system, and performing correction processing for the image by utilizing an image restoration filter generated or selected based on an optical transfer function of the image pickup system. The image restoration filter is a filter configured to reduce a phase degradation component of the image. | 06-09-2011 |
20110142362 | METHOD FOR FILTERING DATA WITH SYMMETRIC WEIGHTED INTEGRAL IMAGES - This patent addresses the problem of performing fast non-uniform filtering. This invention covers a form of expressing a signal with the novel Symmetric Weighted Integral Images (SWII) and a method to filter the signal with diverse kernels with a shape defined by the SWII and an arbitrary size. The main advantage of the method is that it drastically reduces the computation time. | 06-16-2011 |
20110142363 | IMAGE CORRECTION APPARATUS AND IMAGE CORRECTION METHOD - An image correction apparatus includes a gradient detection unit, a blur width detection unit, a correction area identification unit, and a correction unit. The gradient detection unit detects a gradient of a pixel value of each of pixels of an input image. The blur width detection unit detects a blur width at a position of each of the pixels of the input image. The correction area identification unit identifies a correction area based on the gradient detected by the gradient detection unit and the blur width detected by the blur width detection unit. The correction unit corrects a pixel value of a pixel in the correction area identified by the correction area identification unit. | 06-16-2011 |
20110150354 | IMAGE UP-SAMPLING METHOD USING 2D WAVELET FILTERS - An original image is up-sampled to a final image by constructing at least two sub-banded filtered images of the original image with 2D wavelet-based decomposition filters, each filtered image being of the same resolution as the original image. Each sub-banded filtered image is then mapped into a larger filtered image of the same size as the final image. Pixels in each larger filtered image which were not mapped in from the sub-banded filtered images are interpolated or left blank. The larger filtered images are then filtered with 2D reconstruction filters and combined to form the final up-sampled image. The invention has the advantage that high quality up-sampled images can be created in real time suitable for high definition video. | 06-23-2011 |
20110150355 | METHOD AND SYSTEM FOR DYNAMIC CONTRAST PROCESSING FOR 3D VIDEO - A video processing device may enhance contrast of one or more of a plurality of view sequences extracted from a three dimensional (3D) input video stream based on contrast information derived from other sequences in the plurality of view sequences. The view sequences that are subjected to contrast enhancement and/or whose contrast information may be utilized during contrast enhancement may be selected based on one or more selection criteria, which may comprise compression bitrate utilized during communication of the input video stream. The video processing device may also perform noise reduction on one or more of the plurality of extracted view sequences during contrast enhancement operations. Noise reduction may be performed using digital noise reduction (DNR). The nose reduction may be performed separately and/or independently on each view sequence in the plurality of extracted view sequences. | 06-23-2011 |
20110170795 | FILTER DEVICE AND FILTER METHOD - A filter device according to the present invention comprises a filter processing section configured to execute a filtering process of data at arbitrary data positions included in a filtering region, the filtering process having a dependency on a filtering order and the execution per se of the filtering process of at least a part of the data and determine the execution of the filtering process at the arbitrary data positions, and a control section configured to control the filtering process executed by the filter processing section, wherein the control section makes the filter processing section execute the filtering process at a group of first data positions necessary to determine the execution of the filtering process at a second data position which is one of the arbitrary data positions, and the control section makes the filter processing section execute the filtering process at the second data position when the execution determination results obtained by the filter processing section at the group of first data positions are true. | 07-14-2011 |
20110182527 | CONTEXTUALIZING NOISY SAMPLES BY SUBSTANTIALLY MINIMIZING NOISE INDUCED VARIANCE - A system for contextualizing noisy samples by substantially minimizing noise induced variance may include a memory, an interface, and a processor. The memory is operative to store exemplars. The processor is operative to receive, via the interface, a sample which includes exemplar content corresponding to one of the exemplars, and noise. Variance induced by the noise may differentiate the sample from one or more of the exemplars. The processor may generalize the sample and the exemplars in order to substantially minimize the variance. The processor may compare the generalized sample to the generalized exemplars to identify the exemplar corresponding to the exemplar content of the sample. The processor may contextualize the sample based on a document type of the identified exemplar. The processor may present the contextualized sample to a user to facilitate interpretation thereof, and in response thereto, receive data representative of a user determination associated with the noise. | 07-28-2011 |
20110188771 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND PROGRAM - An image processing device that recognizes an object present in an image includes a filter calculation unit configured to obtain a plurality of filter outputs by applying a plurality of directional selectivity filters, which respectively correspond to different directions, to the image, and a feature amount calculation unit configured to calculate a plurality of feature amounts with respect to the image based on the filter outputs, which respectively correspond to adjacent angles, of the plurality of directional selectivity filters. | 08-04-2011 |
20110188772 | IMAGE SCALING METHOD AND APPARATUS WITH ENHANCEMENT OF IMAGE QUALITY - An image scaling apparatus and method, with enhancement of image quality. The method includes generating a plurality of intermediate pixels positioned near a plurality of resultant pixels to be generated to scale an input image using pixels of the input image; determining the image characteristics of the plurality of resultant pixels using a predetermined region of the input image or the plurality of intermediate pixels within the predetermined region; determining a filter for generating the plurality of resultant pixels based on the image characteristics with respect to the resultant pixels, and generating the plurality of resultant pixels through filtering of the plurality of intermediate pixels using the determined filter. The apparatus includes an intermediate pixel generation unit which generates a plurality of intermediate pixels. A filter determination unit determines a filter for generating the plurality of resultant pixels. A resultant pixel generation unit generates the plurality of resultant pixels. | 08-04-2011 |
20110188773 | Fast Depth Map Generation for 2D to 3D Conversion - A method for generating a depth map for a 2D image includes receiving the 2D image; analyzing content of the received 2D image; determining a depth map based on a result of the content analysis; refining the determined depth map using an edge-preserving and noise reducing smoothing filter; and providing the refined depth map. | 08-04-2011 |
20110200269 | Fast Approximation For Bilateral Filter - Multiple filters of a bilateral filter are decoupled to form into multple linear filtering operations, which permits faster processing. The bilateral filter is re-presented as an approximate bilateral filter, and subjected to a logarithm whose resultant components are further subjected to a series of Jensen approximations. The errors resulting from each Jensen approximation are collected into a single cumulative error factor, and it is then shown that the cumulative error may be ignored without adversed affect to the result. Thus, the original bilateral filter may be implemented as log(y | 08-18-2011 |
20110200270 | IMAGE PROCESSING METHOD, APPARATUS, PROGRAM, AND RECORDING MEDIUM FOR THE SAME - In an aspect of an image processing technique according to the present invention, a high-frequency component is extracted from a low-resolution image z which is a restoration target, and a high-frequency image z′ is generated (# | 08-18-2011 |
20110206292 | IMAGE PROCESSING APPARATUS AND CONTROL METHOD THEREOF - This invention makes it possible to obtain an enlarged image while suppressing noise and maintaining the sharpness of an original image only by setting a simple enlargement ratio without no special knowledge. Original image data (Ia) is enlarged in accordance with a set enlargement ratio (E) to generate an enlarged image (IA). The enlarged image (IA) is smoothed by using a smoothing filter with a size depending on the enlargement ratio (E) to generate smoothed image data (IB). Difference image data (IC) is generated by calculating the difference between the enlarged image data (IA) and the smoothed image data (IB). The generated difference image data is multiplied by an emphasis coefficient. The product is added to the enlarged image data, thereby obtaining image data (IS) that has undergone enlargement/unsharp masking. | 08-25-2011 |
20110216984 | IMAGE DENOISING DEVICE, IMAGE DENOISING METHOD, AND IMAGE DENOISING PROGRAM - A gradient direction detection unit | 09-08-2011 |
20110216985 | SYSTEM, METHOD, AND COMPUTER PROGRAM PRODUCT FOR PICTURE RESIZING - System, method, and computer program product to adaptively blend the interpolation results from an 8-tap Lanczos filter and the interpolation results from a bilinear filter, according to the local transitions of the input content. Artifacts may occur, which may be identified as such and corrected. Pixels that represent artifacts in the blended image may be replaced with the pixel for that location taken from the bilinear interpolation. | 09-08-2011 |
20110216986 | METHOD FOR PROVIDING IMAGE DATA - X-ray beam detectors in one model can individually differ from one another. This can lead to differences in the amount of noise in an image recorded with the aid of the respective X-ray beam detector. In the present case, a variable is derived using an empty image, which variable reproduces the amount of noise, and this variable then determines the type and extent of a filtering process. Hence the image processing is adapted to the respective individual noise behavior of the respective X-ray beam detector. This is particularly suitable if the X-ray beam detector is a flat-panel detector ( | 09-08-2011 |
20110235935 | METHOD FOR EVALUATING QUALITY OF IMAGE REPRESENTING A FINGERPRINT PATTERN - A method for evaluating quality of image representing a fingerprint pattern is provided, the method including performing a filtering process on a region of the image including a digital filtering of the selected region successively performed a certain number of times. According to the method, convergence of said filtering process is determined, and the image within the region is classified as an image with identifiable pattern if the filtering process is convergent, whereas the image within the region is classified as an image with unidentifiable pattern if the filtering process is nonconvergent. The digital filtering is performed using a filter adapted to at least one of the following local image parameters: curvature of dermal ridges, scale and tilt angle of dermal ridges. | 09-29-2011 |
20110235936 | ROUTABLE IMAGE PIPELINE DEVICE - An image pipeline device is used for processing an image. The device comprises an external memory, a direct memory access (DMA), an image pipeline controller, and a filter layer. The image pipeline controller comprises a physical memory allocation (PMA) having a physical buffer unit, and a first array controller for configuring the physical buffer unit as a corresponding first logic buffer unit. The filter layer comprises a first filter set electrically connected to the first array controller correspondingly and having a plurality of filters. The first filter set receives the image through the first array controller, processes the image selectively according to the first logic buffer unit and the filters, and stores the processed image back to the external memory through the DMA. | 09-29-2011 |
20110274366 | DEPTH MAP CONFIDENCE FILTERING - An apparatus and method for filtering depth information received from a capture device. Depth information is filtered by using confidence information provided with the depth information based an adaptively created, optimal spatial filter on a per pixel basis. Input data including depth information is received on a scene. The depth information comprises a plurality of pixels, each pixel including a depth value and a confidence value. A confidence weight normalized filter for each pixel in the depth information is generated. The weight normalized filter is combined with the input data to provide filtered data to an application. | 11-10-2011 |
20110274367 | Method and Apparatus for Processing Video Data - In one embodiment of the invention, the invention my concern a method including receiving digital images, each image including object pixels and non-object pixels; and filtering the non-object pixels from the object pixels. Other embodiments are described and claimed. | 11-10-2011 |
20120002896 | SYSTEM AND METHOD FOR REDUCING NOISE IN AN IMAGE - A system and method of reducing noise are disclosed. In one embodiment a system comprises an input configured to receive an input image, a filter configured to filter the input image to generate a filtered image, a weight generator configured to generate one or more edge weights related to at least one edge of the input image, a mixer configured to generate an output image based on the input image, the filtered image, and at least one of the edge weights, and an output configured to output the output image. | 01-05-2012 |
20120002897 | IMAGE PROCESSING APPARATUS, METHOD AND RECORDING MEDIUM - A filter coefficient calculating unit | 01-05-2012 |
20120014617 | SYSTEM AND METHOD FOR MULTI-SCALE IMAGE RECONSTRUCTION USING WAVELETS - Disclosed herein are systems, methods, and non-transitory computer-readable storage media for reconstructing an image. A system practicing the method receives a corrupted image, such as a blurred image or a still frame from a video, to reconstruct, isolates a set of spatial frequencies in the corrupted image using a wavelet transform, generates restored spatial frequency information for the set of spatial frequencies, and generates a reconstructed image based on the restored spatial frequency information and the corrupted image. Generating the reconstructed image can occur in parallel or in a specific order. The set of spatial frequencies can correspond to different zoom levels. The system can further process the corrupted image and set of spatial frequencies until convergence is reached. | 01-19-2012 |
20120045143 | Apparatus and method for high speed filtering of image for high precision - Provided are an apparatus and a method for high speed filtering of an image for high precision that may include a coordinate determining unit to determine coordinates (P, Q) on a screen with respect to a first pixel to be filtered, a pixel determining unit to determine a second pixel with coordinates including either P or Q, a block setting unit to set a first block comprising the first pixel, and a second block comprising the second pixel, and a processing unit to filter the first pixel by comparing the first block and the second block. | 02-23-2012 |
20120093431 | Image Sharpening Via Gradient Environment Detection - In an embodiment, a device comprises a plurality of elements, including logical elements, wherein the elements are configured to perform the operations of: in a neighborhood of pixels surrounding and including a particular pixel, applying a filter to multiple groups of pixels in the neighborhood to generate a set of filtered values; generating, based at least in part upon the set of filtered values, one or more sets of gradient values; based at least in part upon the one or more sets of gradient values, computing a first metric for an image environment in which the particular pixel is situated; determining a second metric for the image environment in which the particular pixel is situated, wherein the second metric distinguishes between a detail environment; and based at least in part upon the first metric and the second metric, computing a gradient improvement (GI) metric for the particular pixel. | 04-19-2012 |
20120093432 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD AND STORAGE MEDIUM STORING IMAGE PROCESSING PROGRAM - An image processing device for performing edge-preserving smoothing includes a reducing unit for reducing an input image; a reduced image smoothing unit for performing a smoothing processing on a reduced image generated by the reducing unit with edges preserved; and an edge-preserving enlarging unit for enlarging an image generated by the reduced image smoothing unit with the edges preserved. The edge-preserving enlarging unit performs a filtering processing by determining a pixel value of a target pixel for the filtering processing based on weighted addition of pixel values of respective reference pixels. Weighting coefficients for the pixel values of the respective reference pixels is set based on differences between a pixel value of the input image corresponding to the target pixel and pixel values of the respective reference pixels and based on distances between the target pixel and the respective reference pixels. | 04-19-2012 |
20120093433 | Dynamic Adjustment of Noise Filter Strengths for use with Dynamic Range Enhancement of Images - Dynamic adjustment of noise filter strengths for use with dynamic range enhancement of images is performed to produce better quality images by adapting dynamically to the image noise profile. Global and local brightness and contrast enhancement (GLBCE) is performed on a digital image to form an enhanced image. The GLBCE applies local gain values to the digital image based on local intensity values. A GLBCE gain versus intensity curve is determined for the enhanced image. A set of noise filter thresholds is adjusted in response to the GLBCE gain versus intensity curve to form a set of dynamically adjusted noise filter thresholds. The enhanced image is noise filtered using the set of dynamically adjusted noise filter thresholds to form a noise filtered enhanced image. | 04-19-2012 |
20120114263 | Method and system for generating intrinsic images using a smooth illumination constraint - 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, organizing information relevant to the image according to a smooth-illumination constraint enforcing a Laplacian filter response such that ∇ | 05-10-2012 |
20120121204 | IMPORTANCE FILTERING FOR IMAGE RETARGETING - A content-aware image retargeting technique uses an “importance filtering” technique to preserve important information in the resizing of an image. The image saliency is first filtered, guided by the image itself to achieve a structure-consistent importance map. The pixel importance is then used as the key constraint in computing the gradient map of pixel shifts from the original resolution to the target resolution. Finally the shift gradient is integrated across the image by a weighted filtering process to construct a smooth pixel shift-map and render the target image. The weight is again controlled by the pixel importance. The two filtering processes enforce the maintaining of structural consistency while preserving the important contents in the target image. The simple nature of the present filter operations allow for real-time applications and easy extension to video retargeting, as the structural constraints from the original image naturally convey the temporal coherence between frames. | 05-17-2012 |
20120155783 | DIRECTIONAL ANTI-ALIASING FILTER - A directional anti-aliasing filter circuit includes an input node and an output node, a directional anti-aliasing filter having an input coupled to the input node, an adaptive gain control having an input coupled to an output of the directional anti-aliasing filter, a summer having a first input coupled to an output of the adaptive gain control, a second input coupled to the input node, and an output coupled to the output node, a texture detector for providing a texture adjust signal to the directional anti-aliasing filter and a texture adaptive gain signal to the adaptive gain control, an edge detector for providing an edge direction signal to the directional anti-aliasing filter, and a corner detector for providing a corner adaptive gain signal to the adaptive gain control. | 06-21-2012 |
20120155784 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - A plurality of representative filters are held, and weight vectors containing weight values for the respective representative filters as components are acquired for respective pixels which form an image. The respective representative filters act on the respective pixels which form the image, and the results of the action are weighted with the weight vectors and added. | 06-21-2012 |
20120163728 | IMAGE RECTIFICATION METHOD - An image rectification method includes the steps of: detecting edges in an image by using a Canny filter; performing Hough transform on the edges to detect lines in the image; selecting a candidate quadrangle from quadrangles formed by the detected lines; obtaining a transform matrix for transforming the candidate quadrangle to a rectangle by homographic transform; rectifying the image by using the transform matrix; and enhancing the rectified image | 06-28-2012 |
20120189225 | SYSTEMS AND METHODS FOR CALCULATING IMAGE SHARPNESS MEASUREMENTS - Imaging systems with image sensors and image processing circuitry are provided. The image processing circuitry may calculate sharpness values for a window within an image captured by the image sensors. The window may be divided into zones. A first filter may be applied to each row of each zone. A first sharpness value may be calculated by averaging the absolute values of the outputs of the first filter that are greater than a first threshold. A second sharpness value may be calculated by averaging the absolute values of the outputs of the second filter that are greater than a second threshold. A final sharpness value for each zone may be calculated by dividing the second sharpness value by the first sharpness value and multiplying the result by corresponding scalar weights. A window sharpness value may be calculated from the weighted sum of the final sharpness values of each zone. | 07-26-2012 |
20120189226 | IMAGE PROCESSING APPARATUS, IMAGING APPARATUS, IMAGE PROCESSING METHOD, AND RECORDING MEDIUM STORING PROGRAM - To prevent an increase in a data storage space required for image restoration processing, a non-transitory computer-readable storage medium according to the present invention stores a process for causing an information processing apparatus to execute a method including acquiring identification information for identifying an optical transfer characteristic for restoring an image, acquiring the optical transfer characteristic identified based on the identification information from a storage unit storing a first optical transfer characteristic commonly usable for first and second captured images captured under different imaging conditions and a second optical transfer characteristic usable for a third captured image, and generating a restored image with use of the acquired optical transfer characteristic. | 07-26-2012 |
20120207402 | Digital Video Content Fingerprinting Based on Scale Invariant Interest Region Detection with an Array of Anisotropic Filters - Video sequence processing is described with various filtering rules applied to extract dominant features for content based video sequence identification. Active regions are determined in video frames of a video sequence. Video frames are selected in response to temporal statistical characteristics of the determined active regions. A two pass analysis is used to detect a set of initial interest points and interest regions in the selected video frames to reduce the effective area of images that are refined by complex filters that provide accurate region characterizations resistant to image distortion for identification of the video frames in the video sequence. Extracted features and descriptors are robust with respect to image scaling, aspect ratio change, rotation, camera viewpoint change, illumination and contrast change, video compression/decompression artifacts and noise. Compact, representative signatures are generated for video sequences to provide effective query video matching and retrieval in a large video database. | 08-16-2012 |
20120213450 | SYSTEM, METHOD, AND COMPUTER PROGRAM PRODUCT FOR REDUCING NOISE IN AN IMAGE USING DEPTH-BASED SWEEPING OVER IMAGE SAMPLES - A system, method, and computer program product are provided for reducing noise in an image using depth-based on sweeping over image samples. In use, each noisy pixel of an image having noise is identified. Additionally, for each noisy pixel, at least one sample included in each of a plurality of neighboring pixels to the noisy pixel is identified. Furthermore, the samples are swept over at least partially in a depth-based order to identify a value for the noisy pixel that reduces the noise. | 08-23-2012 |
20120224783 | Methods and Systems for Document-Image Correction - Aspects of the present invention are related to systems and methods for correcting illumination and vignette in a camera-captured document image. A background type may be detected from down-sampled luminance image associated with the camera-captured image, and model parameters may be estimated for a morphologically filtered version of the down-sampled luminance image, wherein the morphological filter may be based on the detected background type. The model parameters may be verified and if deemed acceptable, a rectified image may be formed. | 09-06-2012 |
20120224784 | ANISOTROPIC DENOISING METHOD - In accordance with an embodiment of the invention, an anisotropic denoising method is provided that removes sensor noise from a digital image while retaining edges, lines, and details in the image. In one embodiment, the method removes noise from a pixel of interest based on the detected type of image environment in which the pixel is situated. If the pixel is situated in an edge/line image environment, then denoising of the pixel is increased such that relatively stronger denoising of the pixel occurs along the edge or line feature. If the pixel is situated in a detail image environment, then denoising of the pixel is decreased such that relatively less denoising of the pixel occurs so as to preserve the details in the image. In one embodiment, detection of the type of image environment is accomplished by performing simple arithmetic operations using only pixels in a 9 pixel by 9 pixel matrix of pixels in which the pixel of interest is situated. As a result, improved image environment sensitive noise reduction is achieved that requires a relatively low gate count in hardware implementations. | 09-06-2012 |
20120230600 | FAST REPEATED INTEGRAL IMAGES - A repeated integral images method filters image data in only two passes, e.g., the first pass filters horizontal rows of pixels and a second pass filters vertical columns of pixels, or in a single pass. The filter performs at least one infinite impulse response (IIR) filter and at least one finite impulse response (FIR) filter on the image data. A plurality of IIR filters and FIR filters maybe performed to approximate a Gaussian filter. By minimizing the number of passes, the data flow between the processing unit and the storage unit is greatly reduced compared to conventional repeated integral images method thereby improving computation time. | 09-13-2012 |
20120288212 | High-Speed Diversity-Based Imaging Method for Parallel Atmospheric Turbulence Compensation - An imaging method providing atmospheric turbulence compensation includes capturing a subject image pair. Data corresponding to the captured subject image pair is loaded into memory associated with a parallel processing device. A 2-D Fast Fourier Transform is performed on the stored image data and the transformed image data is stored. An optical transfer function is developed for the transformed image data. The optical transfer function is inverted and applied to the transformed image data to generate corrected image spectrum data that is compensated for atmospheric aberrations. An Inverse Fast Fourier Transform is applied to the corrected image spectrum data to produce corrected image data. The corrected image data is stored. | 11-15-2012 |
20120321212 | SYSTEMS AND METHODS FOR PROCESSING INFRARED IMAGES - One or more embodiments of the invention provide a system and method for processing an infrared image to receive infrared image data of a non-uniform scene, apply column noise filter correction to the infrared image data, and/or apply row noise filter correction to the infrared image data, and provide corrected infrared image data based on the column and/or row noise filter correction as infrared output image data. | 12-20-2012 |
20130004096 | Methods, Devices, and Computer Readable Mediums for Processing a Digital Picture - Embodiments provide a method for processing a digital picture, wherein the digital picture comprises a plurality of pixels. The method comprises dividing the digital picture into a plurality of blocks, each block comprising a plurality of pixels. The method further comprises determining a type of block for each block. The method further comprises associating each block with a filtering mode of a plurality of different filtering modes according to the type determined for the block. The method further comprises filtering each block using the associated filtering mode associated with the block. | 01-03-2013 |
20130044963 | MULTIPLY ADAPTIVE SPATIAL SPECTRAL EXPLOITATION - A method of filtering hyperspectral image data associated with a hyperspectral image to produce a detection image data having a plurality of pixels, where the detection image data is associated with the degree to which a target may be present in a pixel. The method also includes adaptively processing the detection image data to determine a background variation in the plurality of pixels. The method additionally includes establishing a plurality of spatial filters for the detection image data, where each of the plurality of spatial filters are associated with energy being received at different locations on each of the plurality of pixels, and where the outputs of the plurality of spatial filters are weighted by the variation in background. The method further includes applying each of the plurality of spatial filers to the detection image data, such that each of the plurality of pixels are associated with a selected one of the plurality of spatial filters. | 02-21-2013 |
20130044964 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD AND PROGRAM - There is provided an image processing device including an acquisition portion that acquires image data of an image, a dividing portion that divides the acquired image into a number of blocks N (N>1), a specification portion that sequentially specifies, each time the image data of the image is newly acquired, a number of the blocks M (N≧M>1) from among the number of the blocks N, as the blocks to be updated, a filtering portion that performs filtering using a predetermined filter on the image data of the specified number of the blocks M, a counting portion that counts a number of pixels for which a filtering result is larger than a predetermined value, a first determination portion that determines whether there is an abnormality in the blocks, and a second determination portion that determines whether sabotage has occurred. | 02-21-2013 |
20130084020 | Generalized Multiscale Seam Carving Framework - A computer-implemented method for resizing an image using a seam carving algorithm. The method may include measuring energy levels of pixels in an original image to derive an original energy map; applying a filter to an original energy map to derive a first energy map having a scale less than the original energy map; iteratively applying the filter N times, starting with the first energy map, to an energy map from an immediately preceding iteration; upsampling each of the energy maps to a resolution that matches the original energy map; combining the upsampled energy maps with the original energy map to form a composite image; identifying a seam by finding a path in the composite image having lowest energy quantities from one end of the composite image to an opposing end of the composite image; and selectively deleting the identified seam from the original image, thereby yielding a resized image. | 04-04-2013 |
20130084021 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, IMAGE PROCESSING PROGRAM, AND INTEGRATED CIRCUIT - The grayscale of an input signal is converted without amplifying noise components thereof. A grayscale conversion portion performs grayscale conversion on an input signal IS to create a converted signal TS, a noise reduction degree determining portion determines a noise reduction degree NR that expresses a strength of noise reduction processing to be applied to the converted signal based on the input signal IS and the converted signal TS, and a noise reducing portion executes noise reduction processing on the converted signal TS based on the noise reduction degree NR. By doing this, it is possible to convert the grayscale of the input signal without enhancing the noise. | 04-04-2013 |
20130089268 | IMAGE PROCESSING DEVICE AND IMAGE PROCESSING METHOD - An image processing device includes: a first band limiting unit that reduces noise included in an input image; and a restoring unit, wherein the restoring unit has a difference calculating unit that calculates a difference between the input image and a noise-reduced image, a predicted noise obtaining unit that obtains a predicted noise amount to be included in the input image, a correction signal generating unit that generates a correction signal for correcting the noise-reduced image and controlling an absolute value of the difference between the input image and the noise-reduced image within a range of the predicted noise amount, and an image synthesizing unit that corrects the noise-reduced image based on the correction signal. | 04-11-2013 |
20130094779 | Method and Apparatus for Prediction Unit Size Dependent Motion Compensation Filtering Order - A motion compensation method and apparatus. The method includes retrieving data relating to a reference bock, performing a transpose on the retrieved data, performing vertical filtering on the transposed retrieved data, performing one or more transpose on the vertically filtered data, performing horizontal filtering on the transposed vertically filtered dad, and generating an interpolated bock and storing the interpolated block. | 04-18-2013 |
20130114911 | POST PROCESSING FOR IMPROVED GENERATION OF INTRINSIC IMAGES - 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, generating an intrinsic image corresponding to the image and modifying the intrinsic image by performing an edge-preserving blur of illumination. | 05-09-2013 |
20130121606 | Adaptive Bilateral Blur Brush Tool - A system and method for a blur brush performing adaptive bilateral filtering is disclosed. The method may include receiving user input selecting an area of an image to be filtered, such as by pointing to the image area using the blur brush. The selected image may comprise an edge and a plurality of pixels. The method may operate to the blur brush identifying the edge in the selected image area. The method may operate to apply a filter tool (e.g., a bilateral filter) to the selected image area, while preserving the edge. The methods may be implemented by program instructions executing in parallel on CPU(s) or GPUs. | 05-16-2013 |
20130121607 | Elegant Solutions for Fingerprint Image Enhancement - This invention includes image processing techniques directed to achieve feature enhancement and background-foreground enhancement in fingerprint images. The image is divided into plural segments depending on the ridge-valley directions. Each segment is separately filtered with a directional filter generally perpendicular to the corresponding ridge-valley direction. Background-foreground detection employs edge detection to identify edge pixels. These edge pixels are averaged to determine a threshold. The threshold is applied to the original image to determine background and foreground pixels. The background and foreground pixels are filtered via a watershed fill filter with separate connectivity for background and foreground pixels. | 05-16-2013 |
20130170767 | IMAGE CONTENT ENHANCEMENT USING A DICTIONARY TECHNIQUE - A system for determining a high resolution image includes receiving a low resolution image and determining a vector of a patch of the low resolution image based upon a low resolution dictionary. The system includes determining a high resolution patch based upon a high resolution dictionary and the vector and determining the high resolution image based upon the high resolution patch. | 07-04-2013 |
20130177255 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND TANGIBLE COMPUTER READABLE MEDIUM FOR PROCESSING IMAGE - An image processing apparatus includes: an image obtaining device; an image dividing device that divides the image through a fine structure retrieving filter and a basic structure retrieving filter into a detail signal component and a basic signal component, the detail signal component including an edge component, a texture component, and a noise component, and the basic signal component being other than the detail signal component; an image correcting device that retrieves a focused picture cell, determines whether the focused picture cell represents the noise, corrects the detail signal component to reduce the noise component in the focused picture cell when the focused picture cell represents the noise; and an image synthesizing device that synthesizes a basic structure image provided by the basic signal component and a corrected fine structure image provided by the corrected detail signal component. | 07-11-2013 |
20130223755 | COMMUNICATION SIGNAL IMAGE SUPPRESSION FOR MULTI-FREQUENCY OPERATION - A method and system for image suppression and digital-to-analog conversion (DAC) of a radio frequency (RF) signal is disclosed. In one embodiment, a digital input signal having undesired image spectra is input to two paths. In one path, the digital input signal is phase shifted so that an output of each path are out of phase by substantially 180 degrees at a frequency of the undesired image spectra, so that the undesired image spectra are substantially suppressed. | 08-29-2013 |
20130223756 | IMAGE PROCESSING SYSTEM, IMAGE PROCESSING METHOD, AND IMAGE PROCESSING PROGRAM - There is provided an image processing system which can remove jaggies not only from binary images but also from gray scale images, color images and images upscaled by an unknown scaler. When the center pixel of the local area clipped from a processing target image is decided to be the jaggy removal target pixel, a base filter computing means | 08-29-2013 |
20130236115 | Method and System for Recovery of Missing Spectral Information in Wideband Signal - A system of recovering information wide band signal comprising a receiver(s) for receiving data signal responses from a target area; the received data signal responses having information missing at a plurality of frequencies; at least one processor for recovery of data from the data signal responses operatively connected to the receiver(s); a first memory comprising time-shifted responses based upon the wide band signal response, a second memory comprising a plurality of spectrally filtered time-shifted responses; whereby the first and second memories operate to provide data to the at least one processor compensate for the information missing at the plurality of frequencies. Also, a method of the recovery of missing frequency bands comprising receiving data signal responses from a target area using a first dictionary comprising time-shifted responses based upon spectra containing the at least one predetermined spectrum, and a second dictionary comprising a plurality of spectrally filtered time-shifted responses. | 09-12-2013 |
20130236116 | METHOD AND APPARATUS FOR SINGLE-IMAGE-BASED RAIN STREAK REMOVAL - A method and an apparatus for single-image-based rain streak removal are introduced herein. In this method and apparatus, an original image is decomposed into a high frequency part and a low frequency part, and the high frequency image is then decomposed into a rain part and a non-rain part. The non-rain high frequency image and the original low frequency image are used to produce a non-rain image. | 09-12-2013 |
20130243347 | Illusion Image Generating Apparatus, Medium, Image Data, Illusion Image Generating Method, Printing Medium Manufacturing Method, and Program - The present invention obtains subband signals by performing a multiresolution decomposition by a wavelet frame with orientation selectivity or a filterbank with orientation selectivity that is a set of an approximate filter with no orientation and a plurality of detail filters with respective orientations on image data, and, when an image is reconstructed by summing the obtained subband signals, generates reconstructed image data that creates a floating illusion by attenuating or amplifying a subband signal corresponding to at least one of detail filters with a predetermined orientation relative to a floating direction, in which an image is desired to be floated due to an illusion, among the detail filters. | 09-19-2013 |
20130251282 | METHOD AND DEVICE FOR REDUCING TEMPORAL NOISE FOR IMAGE - A temporal noise reduction method and a temporal noise reduction device are provided. The temporal noise reduction device includes a temporal filter unit that performs a temporal filtering operation using pixel values (CP) of an N×M array in a current frame and pixel values (FP) of an N×M array located at the same position in a neighboring frame separated by a distance T | 09-26-2013 |
20130251283 | SYSTEM AND METHOD TO SELECTIVELY COMBINE IMAGES - Systems and methods to selectively combine images are disclosed. In a particular embodiment, an apparatus includes a registration circuit configured to generate a set of motion vector data based on first image data corresponding to a first image and second image data corresponding to a second image. The apparatus includes a combination circuit to selectively combine the first image data and adjusted second image data that corresponds to the second image data adjusted according to the motion vector data. The apparatus further includes a control circuit to control the combination circuit to generate third image data. | 09-26-2013 |
20130266239 | SYSTEM AND METHOD FOR IMPROVED REAL-TIME CINE IMAGING - A cine imaging filter and method of use that includes a denoising image-filter based on the Karhunen-Loeve transform along the temporal direction to take advantage of the high temporal correlation among images. The cine imaging filter may further include the application of a simple formula describing the quantitative noise reduction capabilities of the KLT filter as a function of eigenimage cutoff. Additionally, the filter may validate its accuracy in numerical simulation and in in-vivo real time cine images. Furthermore, exemplary embodiments of the cine imaging filter may employ a technique to automatically select the optimal eigenimage cutoff to maximize noise reduction with minimal effect on image information. | 10-10-2013 |
20130301950 | MULTIPLIERLESS COPROCESSOR FOR DIFFERENCE OF GAUSSIAN (DOG) CALCULATION - A hardware architecture is applied to the calculation of a Difference-of-Gaussian filter, which is typically employed in image processing algorithms. The architecture has a modular structure to easily allow the matching of the desired delay/area ratio as well as a high computational accuracy. A new solution is provided for the implementation of multiply-accumulators which allows a significant reduction of area with respect to the conventional architectures. | 11-14-2013 |
20130301951 | METHOD AND APPARATUS FOR REMOVING IMAGE NOISE - Provided are a method and apparatus for removing image noise. The method includes: separating an input image signal into a signal component and a noise component; converting the noise component into a decorrelated noise component that is spatiotemporally decorrelated from neighboring pixels; and generating an image signal by adding the decorrelated noise component to the signal component. | 11-14-2013 |
20130322778 | BLOCK NOISE DETECTION AND FILTERING - Systems and methods for block noise detection and filtering are disclosed. One embodiment includes, computing difference magnitudes in pixel values for adjacent pixels in the image. The difference magnitudes can include horizontal difference magnitudes for horizontally adjacent pixels and vertical difference magnitudes for vertically adjacent pixels. One embodiment further includes using normalized sums of the difference magnitudes to determine a set of noise characteristics of the block noise and a set of image characteristics of the image and configuring inputs to the block noise filter using the set of noise and image characteristics. | 12-05-2013 |
20140037225 | ROW AND COLUMN NOISE REDUCTION IN THERMAL IMAGES - Methods and systems are provided to reduce noise in thermal images. In one example, a method includes receiving an image frame comprising a plurality of pixels arranged in a plurality of rows and columns. The pixels comprise thermal image data associated with a scene and noise introduced by an infrared imaging device. The image frame may be processed to determine a plurality of column correction terms, each associated with a corresponding one of the columns and determined based on relative relationships between the pixels of the corresponding column and the pixels of a neighborhood of columns. In another example, the image frame may be processed to determine a plurality of non-uniformity correction terms, each associated with a corresponding one of the pixels and determined based on relative relationships between the corresponding one of the pixels and associated neighborhood pixels within a selected distance. | 02-06-2014 |
20140044375 | IMAGE PROCESSING METHOD AND APPARATUS - An image processing method includes configuring a noise reduction filter for each of pixels in an image in accordance with a linear noise model of the image, based on different levels of a noise effect caused to a corresponding pixel, among the pixels, by other pixels, among the pixels and adjacent to the corresponding pixel. The method further includes performing noise reduction filtering on each of the pixels, using the noise reduction filter for each of the pixels, to obtain a noise reduced image. | 02-13-2014 |
20140050415 | Filters and Functions Using Exponential Decay - The technology described in this document relates to filters and functions that are based on exponential decay functions. In one aspect, the technology is embodied in a method that includes using a computing device to compute a first function as a combination of (i) an exponential decay function, a decay factor for which is chosen based on a Gaussian function, and (ii) at least a second function that is obtained by one or more convolution operations on the decay function. The first function provides an approximation of at least a portion of the Gaussian function. | 02-20-2014 |
20140050416 | IDENTIFYING AND CORRECTING ANOMALIES IN AN OPTICAL IMAGE - An embodiment of the invention provides an apparatus and a method. An intensity gradient between first and second optical image data of an optical image produced by an optical scanning device is determined. The first optical image data is a first optical image pixel and the second optical image data is a second optical image pixel. An intensity gradient image comprising a plurality of intensity gradient image pixels is determined, each intensity gradient image pixel representing the magnitude of an intensity gradient. One or more anomalies in the optical image in dependence on the magnitude of the intensity gradient being greater than or equal to a threshold value is identified. | 02-20-2014 |
20140056536 | METHOD AND SYSTEM FOR SUBSTANTIALLY REMOVING DOT NOISE - One technique performs noise removal substantially removing dot noise based upon pseudo-standard deviation (PSD). Another technique performs noise removal including the substantial removal of dot noise based upon Z-score with a punctured approach. The techniques are not limited to particular kernels and include both uniform and non-uniform kernels. | 02-27-2014 |
20140119672 | IMAGE ENHANCEMENT USING LEARNED NON-PHOTOREALISTIC EFFECTS - Systems, methods and computer readable media for image enhancement using learned non-photorealistic effects. In some implementations, a method can include obtaining an original image. The method can also include analyzing the original image to determine one or more characteristics of the original image. The method can further include selecting one or more filters based on the one or more characteristics and applying the one or more filters to the original image to generate a modified image. The method can include causing the modified image to be displayed. | 05-01-2014 |
20140169694 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - An image processing apparatus includes a calculation section configured to calculate filtering coefficients of a filter with a first area in an image that is partitioned into multiple first areas including the first area, the image being partitioned differently into multiple second areas, each one of which being covered by several first areas, to calculate a convoluted image of a second area using the filtering coefficients calculated with the first areas covering a part of the second area, the calculation being executed for the several first areas covering distinct parts of the second area, respectively; and an interpolation section configured to interpolate a pixel in the second area using pixels at the same position in the convoluted images of the second area which are convoluted with the respective filtering coefficients. | 06-19-2014 |
20140193092 | SUPERRESOLUTION IMAGE PROCESSING USING AN INVERTIBLE SPARSE MATRIX - Superresolution image processing that can be applied when two image frames of the same scene are available so that image information from one frame can be used to enhance the image from the other frame. The superresolution image processing uses a sparse matrix generated based on a Markov random field defined over these two image frames. The sparse matrix is inverted and applied to the image data from the image frame that is being enhanced to generate a corresponding enhanced image. | 07-10-2014 |
20140212061 | SYSTEM AND METHOD FOR ATMOSPHERIC PARAMETER ENHANCEMENT - System and method for enhancing at least one atmospheric parameter of interest provided in remotely-sensed data by detecting and suppressing false alarm data, including computer code to receive measurement data and background including false alarms, computer code to conduct detection tests for the atmospheric parameter, computer code to compute the strength of the tests, and computer code to weight the measurement data based on the strengths and enhance the measurement data based on the weighted data. | 07-31-2014 |
20140219577 | SYMMETRIC FILTER ARITHMETIC APPARATUS AND SYMMETRIC FILTER ARITHMETIC METHOD - A symmetric filter arithmetic apparatus includes a first data shuffling unit which reads a first data string that is a plurality of consecutive pieces of data from a register file and extract, from the first data string, a left-side data string that is a plurality of consecutive pieces of data to be multiplied by a left-side filter coefficient that is a filter coefficient on a left side of a center of the coefficients, and a second data shuffling unit which reads a second data string that is a plurality of consecutive pieces of data from the register file and extract, from the second data string, a right-side data string that is a plurality of consecutive pieces of data to be multiplied by a right-side filter coefficient that is a filter coefficient on a right side of the center and is the same value as the left-side filter coefficient. | 08-07-2014 |
20140241642 | MULTI LAYERED IMAGE ENHANCEMENT TECHNIQUE - A system for enhancing an input image including receiving an input image and filtering the input image with a plurality of non-linear smoothing filters providing a respective plurality of filtered outputs. The system processes a plurality of the filtered outputs with respect to at least one of another of the filtered outputs and the input image to determine a plurality of detail layers. The system filters the plurality of detail layers with a plurality of non-linear smoothing filters providing a respective plurality of smoothed layers. The system adjusts the plurality of smoothed layers in such a manner that regions closer to an edge are enhanced to a lesser extent than regions farther from an edge and combining the adjusted the smoothed layers to provide an enhanced output image. | 08-28-2014 |
20140241643 | IMAGE PROCESSING USING A BILATERAL GRID - A method of processing a digital image. The method comprises: populating ( | 08-28-2014 |
20140241644 | METHOD, MEDIUM, AND APPARATUS OF FILTERING DEPTH NOISE USING DEPTH INFORMATION - A depth noise filtering method and apparatus is provided. The depth noise filtering method may perform spatial filtering or temporal filtering according to depth information. In order to perform spatial filtering, the depth noise filtering method may determine a characteristic of a spatial filter based on depth information. Also, in order to perform temporal filtering, the depth noise filtering method may determine a number of reference frames based on depth information. The depth noise filtering method may adaptively remove depth noise according to depth information and thereby enhance a noise filtering performance. | 08-28-2014 |
20140270565 | MEASUREMENT OF WAVE-FRONT ABERRATION IN A SMALL TELESCOPE REMOTE IMAGING SYSTEM USING SCENE-BASED WAVE-FRONT SENSING - Reference-free compensated imaging makes an estimation of the Fourier phase of a series of images of a target. The Fourier magnitude of the series of images is obtained by dividing the power spectral density of the series of images by an estimate of the power spectral density of atmospheric turbulence from a series of scene based wave front sensor (SBWFS) measurements of the target. A high-resolution image of the target is recovered from the Fourier phase and the Fourier magnitude. | 09-18-2014 |
20140294316 | VARIABLE BLOCKING ARTIFACT SIZE AND OFFSET DETECTION - An aspect of the invention includes a system and method for determining a block size and offset for a block artifact. A content is identified. The content can be an image, a frame of video, or any other appropriate content. Edge differences are calculated in each dimension of the content based on the pixel values. The edge differences are filtered. From the filtered edge differences, block attributes, such as block size and offset, can be determined. | 10-02-2014 |
20140294317 | IMAGE PROCESSING APPARATUS AND METHOD CAPABLE OF SUPPRESSING IMAGE QUALITY DETERIORATION, AND STORAGE MEDIUM - An image processing apparatus capable of suppressing image quality deterioration in an output image region determined based on reference pixel regions including image ends. The image processing apparatus includes a coefficient selection value generator that generates a coefficient selection value according to a filter coefficient changeover control signal supplied from a region information controller. In accordance with the coefficient selection value, filter coefficient sets are respectively output from coefficient tables. One of the filter coefficient sets is selected by a selector in accordance with a coefficient set selection value supplied from a coefficient set selection unit. Using filter coefficients that constitute the selected filter coefficient set, an image processor performs arithmetic processing on image data on a per pixel of interest basis while referring to peripheral pixels. | 10-02-2014 |
20140321767 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, RECORDING MEDIUM, AND STEREOSCOPIC IMAGE DISPLAY DEVICE - An unnatural pixel value that appears near the edge of an object included in a viewpoint-changed image, in which a viewpoint is changed, is effectively corrected. A storing portion ( | 10-30-2014 |
20150030257 | LOW-COMPLEXITY BILATERAL FILTER (BF) IMPLEMENTATION IN A DATA PROCESSING DEVICE - A method includes implementing, through a processor communicatively coupled to a memory and/or a hardware block, a Bilateral Filter (BF) including a spatial filter component and a range filter component, and implementing the spatial filter component with a low-complexity function to allow for focus on the range filter component. The method also includes determining, through the processor, filter tap value(s) related to the range filter component as a function of radiometric distance between a pixel of a video frame and/or an image and other pixels thereof based on a pre-computed corpus of data related to execution of an application in accordance with a filtering requirement of the pixel by the application. Further, the method includes constraining, through the processor, the filter tap value(s) to a form i×base based on the BF implementation. i is an integer and base is a floating point base. | 01-29-2015 |
20150055885 | PRINT MEDIUM DISPLAYING ILLUSION IMAGE AND NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM HOLDING ILLUSION IMAGE DATA - The present invention obtains subband signals by performing a multiresolution decomposition by a wavelet frame with orientation selectivity or a filterbank with orientation selectivity that is a set of an approximate filter with no orientation and a plurality of detail filters with respective orientations on image data, and, when an image is reconstructed by summing the obtained subband signals, generates reconstructed image data that creates a floating illusion by attenuating or amplifying a subband signal corresponding to at least one of detail filters with a predetermined orientation relative to a floating direction, in which an image is desired to be floated due to an illusion, among the detail filters. | 02-26-2015 |
20150063715 | METHOD FOR PROCESSING IMAGE AND ELECTRONIC DEVICE THEREOF - An electronic device and a method for outputting an image in an electronic device are provided. The electronic device includes an image acquisition module configured to acquire an image to apply an effect, a first filter manager configured to manage generation of a first image corresponding to an effect, a second filter manager configured to manage generation of at least one second image corresponding to an effect of an image, and a graphic processor configured to generate the first image and the second image according to a request of the first filter manager and the second filter manager. | 03-05-2015 |
20150063716 | DE-NOISING IMAGE CONTENT USING DIRECTIONAL FILTERS FOR IMAGE DEBLURRING - Systems and methods are provided for providing improved de-noising image content by using directional noise filters to accurately estimate a blur kernel from a noisy blurry image. In one embodiment, an image manipulation application applies multiple directional noise filters to an input image to generate multiple filtered images. Each of the directional noise filters has a different orientation with respect to the input image. The image manipulation application determines multiple two-dimensional blur kernels from the respective filtered images. The image manipulation application generates a two- two-dimensional blur kernel for the input image from the two-dimensional blur kernels for the filtered images. The image manipulation application generates a de-blurred version of the input image by executing a de-blurring algorithm based on the two-dimensional blur kernel for the input image. | 03-05-2015 |
20150071560 | METHODS AND APPARATUSES FOR IMAGE PROCESSING - Methods and apparatuses for image enhancement are provided, with which convolution operations can be carried out directly in a filter space, for example in a wavelet space, in particular directly on compressed data. | 03-12-2015 |
20150078675 | METHOD AND APPARATUS FOR IMAGE FILTERING - A system that incorporates the subject disclosure may include, for example, partitioning the image into a group of blocks, calculating principle bilateral filtered image components for a first subset of the group of blocks where the principle bilateral filtered image components are not calculated for a second subset of the group of blocks, and applying an infinite impulse response filter to the image using the principle bilateral filtered image components. Other embodiments are disclosed. | 03-19-2015 |
20150078676 | DIGITAL FILTER FOR IMAGE PROCESSING, IMAGE GENERATING APPARATUS, SUPERHYBRID IMAGE GENERATING APPARATUS, IMAGE GENERATING METHOD, DIGITAL FILTER CREATING METHOD, SUPERHYBRID IMAGE GENERATING METHOD, PRINTING MEDIUM MANUFACTURING METHOD, ELECTRONIC MEDIUM MANUFACTURING METHOD, AND PROGRAM, AND LETTER-ROW TILT ILLUSION GENERATING APPARATUS, LETTER-ROW TILT ILLUSION GENERATING METHOD, PRINTING MEDIUM MANUFACTURING METHOD, ELECTRONIC MEDIUM MANUFACTURING METHOD, AND PROGRAM - In the present invention, subband signals are obtained by performing multiresolution decomposition on image data by using a broad-sense pinwheel framelet that is a set of an approximate filter with no orientation and a plurality of detail filters with respective orientations, and that has a degree. When an image is reconstructed by summing the obtained subband signals, the reconstructed image data is generated by attenuating or amplifying a subband signal corresponding to at least one of filters that have predetermined frequency characteristics and/or a predetermined orientation among the filters. | 03-19-2015 |
20150139565 | FILTERING METHOD FOR REMOVING BLOCK ARTIFACTS AND/OR RINGING NOISE AND APPARATUS THEREFOR - Provided are a filtering method and apparatus for removing blocking artifacts and ringing noise. The filtering method includes transforming video data on a block-by-block basis, and detecting the presence of an edge region in the video data by checking the distribution of values obtained by the transformation. Accordingly, it is possible to completely remove blocking artifacts and/or ringing noise by more effectively detecting the presence of an edge region in video data. | 05-21-2015 |
20150146995 | IMAGE ENHANCEMENT APPARATUS AND IMAGE ENHANCEMENT METHOD - An image enhancement apparatus according to the present invention for generating an output image obtained by sharpening an input image includes a non-linear processing unit configured to carry out non-linear processing on an input image signal representing the input image, a filter unit configured to generate a second signal by removing at least a DC component of the frequency components included in the first signal, a limiter configured to generate a third signal by adjusting the second signal, and an adder configured to generate an output image signal representing the output image by adding the third signal to the input image signal. | 05-28-2015 |
20150146996 | GENERATION METHOD OF IMAGE RESTORATION FILTER, IMAGE PROCESSING METHOD, IMAGE PICKUP APPARATUS, IMAGE PROCESSING APPARATUS, AND RECORDING MEDIUM - A method for generating an image restoration filter used to correct a deterioration of an image captured through an optical system includes a first step of setting a target restoration gain value representative of a target restoration degree of an absolute value of an optical transfer function of the optical system, within a restoration gain limiting value calculated by dividing a maximum value operable by a fixed-point arithmetic by a data point number of the optical transfer function, and a second step of generating, through the fixed-point arithmetic, a frequency characteristic of the image restoration filter based on the target restoration gain value set by the first step. | 05-28-2015 |
20150324960 | METHOD AND APPARATUS FOR IMAGE FILTERING - A system that incorporates the subject disclosure may include, for example, partitioning the image into a group of blocks, calculating principle bilateral filtered image components for a first subset of the group of blocks where the principle bilateral filtered image components are not calculated for a second subset of the group of blocks, and applying an infinite impulse response filter to the image using the principle bilateral filtered image components. Other embodiments are disclosed. | 11-12-2015 |
20150332440 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM - An image processing apparatus to execute noise reduction processing on image data includes a setting unit, a determination unit, and an output unit. The setting unit sets a pixel group from among a plurality of pixel group candidates. The plurality of pixel group candidates includes at least a first pixel group having a plurality of pixels being a first number of pixels or a second pixel group having a plurality of pixels being a second number of pixels which is different from the first number of pixels. The determination unit determines, based on a similarity between a target pixel and a reference pixel that is obtained according to the set pixel group, a weight corresponding to the reference pixel. The output unit outputs a value, calculated based on a pixel value of the reference pixel and the weight, as a noise-reduced pixel value of the target pixel. | 11-19-2015 |
20150339806 | IMAGE DENOISING METHOD AND IMAGE DENOISING APPARATUS - The present invention provides an image denoising method and an image denoising apparatus. The image denoising method includes performing preliminary denoising processing to an acquired image to be processed, so as to obtain a preliminarily denoised image; calculating a residual quantity corresponding to a central pixel of each unit area in the image to be processed according to numerical values of specific energy parameters to which the image to be processed and the preliminarily denoised image correspond, respectively; and using the residual quantity to calculate a weight matrix corresponding to each unit area, and performing non-local mean value calculation to the image to be processed according to the weight matrix, so as to realize the denoising processing of the image to be processed. The image denoising method is able to denoise effectively, and make a denoised image more visually natural. | 11-26-2015 |
20150348248 | INFORMATION PROCESSING APPARATUS, SYSTEM, METHOD, AND MEDIUM STORING PROGRAM - An information processing apparatus may include a memory storing instructions and at least one processor configured to process the instructions to receive an input image. The input image includes either a first image or a provisional image created by iteratively image processing the first image. The instructions further provide for the processor to calculate a local variation of a focused pixel in the input image based on a difference in pixel value between the focused pixel and a surrounding pixel of the focused pixel, to calculate a filter coefficient for suppressing a variation between neighboring pixels in the input image based on the local variation, to create a degraded image by degrading the input image, to calculate a reconfiguration error between the input image and the degraded image, and to create the provisional image based on the filter coefficient and the reconfiguration error. | 12-03-2015 |
20160035067 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND PROGRAM - To suppress influence of a rounding error and acquire a more highly precise filter processing result, by performing convolution processing in order from a divided filter having a smaller sum of filter coefficient among divided filters, shifting a position of the decimal point of a filter processing result in a fixed-point format to generate an intermediate image, integrating the filter processing result having a larger bit width of a decimal part, and substantially reflecting a processing result of the decimal part. | 02-04-2016 |
20160057536 | AUDIO FILTERING WITH VIRTUAL SAMPLE RATE INCREASES - The present invention relates broadly to a method of digitally filtering an audio signal at a predetermined sample rate by applying a composite audio filter derived at an increase sample rate. The composite audio filter is obtained by combining one audio filter with another audio filter at the increased sample rate. The sample rate of the audio filters may be increased from their predetermined to the increased sample rate using various weighting techniques. The composite filter may provide a frequency response curve with a corner frequency as it approaches the Nyquist frequency whereas the frequency response of a conventional filter (shown in broken line detail) is flat with no effect. | 02-25-2016 |
20160063683 | IMAGE PROCESSING APPARATUS, IMAGE PICKUP APPARATUS, IMAGE PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM WHICH PERFORM IMAGE RESTORATION PROCESSING - An image processing apparatus ( | 03-03-2016 |
20160071253 | METHOD AND APPARATUS FOR IMAGE ENHANCEMENT - Embodiments of the present invention relate to a method and apparatus for image enhancement. In particular, there is provided a method for image enhancement, the method comprising: estimating unsharpness of the image (S | 03-10-2016 |
20160098819 | IMAGE PROCESSING DEVICE, IMAGE CAPTURE DEVICE, IMAGE PROCESSING METHOD, AND PROGRAM - Disclosed is a technique capable of efficiently storing and retaining characteristic data (a restoration filter or the like) of an optical system used for a restoration process in a storage unit with limited storage capacity in consideration of the degree of image restoration. An image processing device includes a characteristic data storage unit | 04-07-2016 |
20160098821 | IMAGE PROCESSING APPARATUS, DISPLAY APPARATUS, AND METHOD OF PROCESSING IMAGE THEREOF - A method of processing an image is provided. The method includes performing a noise filtering operation with respect to an input image, acquiring a differential image where an image to which the noise filtering operation is performed is excluded from the input image and removing a noise in a level higher than a predetermined level from the differential image, and acquiring an output image by adding the differential image from which the noise is removed and the image to which the noise filtering operation is performed. | 04-07-2016 |
20160140412 | System and Method for Enhanced Defect Detection with a Digital Matched Filter - Enhanced defect detection of a sample includes acquiring two or more inspection images from a sample from two or more locations of the sample for a first optical mode. The defection detection also generating an aggregated defect profile based on the two or more inspection images from the two or more locations for the first optical mode for a selected defect type and calculating one or more noise correlation characteristics of the two or more inspection images acquired from the two or more locations for the first optical mode. Defect detection further includes the generation of a matched filter for the first optical mode based on the generated aggregated defect profile and the calculated one or more noise correlation characteristics. | 05-19-2016 |
20160148361 | METHOD AND APPARATUS FOR FILTERING AN ARRAY OF PIXELS - A method and an apparatus for filtering an array of pixels. A Domain Transforming unit applies a Domain Transform to the array of pixels to obtain a Domain Transform signal. A weight determining unit determines weights associated with samples of the Domain Transform signal. A filter then filters the Domain Transform signal. The filter takes the determined weights into account during filtering. | 05-26-2016 |
20160155213 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND NON-TRANSITORY COMPUTER READABLE STORAGE MEDIUM | 06-02-2016 |
20160189349 | DE-NOISING SYSTEM FOR ROMOTE IMAGES OF GROUND BUILDINGS USING SPETRUM CONSTRAINTS AND DE-NOISING METHOD THEREOF - A de-noising method for remote images of ground buildings using spectrum constraints. The method includes: 1) obtaining a reference image of ground buildings from a remote image database of the ground buildings, performing a Fourier transformation on the reference image to obtain an amplitude spectrum, and performing a threshold segmentation, an erosion operation and a dilation operation successively on the amplitude spectrum to obtain a binary template of spectrum of the ground buildings; and 2) obtaining a real-time image of the ground buildings by a high-speed aircraft, performing a Fourier transformation on the real-time image to obtain a spectrum, filtering the spectrum of the real-time image in frequency domain by the binary template of spectrum of the ground buildings, and performing an inverse Fourier transformation thereon to generate a filtered real-time image of the ground buildings. | 06-30-2016 |
20160203586 | OBJECT RECOGNITION BASED PHOTO FILTERS | 07-14-2016 |
20160379348 | SCALABLE RANK FILTER - A scalable rank filter and method for performing rank filtering are disclosed. In one embodiment, the rank filter comprises a W staged pipeline with W stages to receive N input data samples and operable to generate an output based on the N input data samples as a result of the W stages completing execution, where W is a bit length of the inputs and W and N are integers greater than two; and output logic coupled to the W staged pipeline to determine the output prior to all W stages completing execution and to output the median. | 12-29-2016 |
20170236258 | SYSTEM AND METHOD FOR FINDING LINES IN AN IMAGE WITH A VISION SYSTEM | 08-17-2017 |
20220138918 | SYSTEMS AND METHODS FOR DYNAMIC CAMERA FILTERING - An information handling system may include a plurality of sensors comprising a camera sensor for communicating camera data, a user presence and focus state manager configured to receive the camera data and generate an inference of user presence and focus based on the camera data, and a dynamic filtering service. The dynamic filtering service may be configured to receive the inference, determine based on the inference a filtering action, and cause the filtering action to be applied to dynamically-generated information associated with a user of the information handling system and communicated to other information handling systems communicatively coupled to the information handling system. | 05-05-2022 |