Class / Patent application number | Description | Number of patent applications / Date published |
382261000 | Adaptive filter | 79 |
20080205786 | Method and system for filtering images in video coding - A method, system and computer program product for filtering an image is disclosed. The image includes a plurality of pixels. A difference value between a pixel parameter of a pixel and the pixel parameter of one or more neighboring pixels is determined. Each pixel is then classified into a category based on the difference value. A standard deviation value of a Gaussian filter for each pixel is calculated based on the category. A window size for Gaussian filtering the pixel is estimated using the standard deviation value. Each pixel is then filtered using the standard deviation value and the window size. | 08-28-2008 |
20080219581 | Image Processing Method and Apparatus - A method and apparatus for providing image processing. For one embodiment of the invention, an image processing apparatus is arranged to process a first relatively underexposed and sharp image of a scene, and a second relatively well exposed and blurred image, nominally of the same scene, the first and second images being derived from respective image sources. The apparatus provides a portion of the relatively first underexposed image as an input signal to an adaptive filter; and a corresponding portion of the second relatively well exposed image as a desired signal to the adaptive filter. The adaptive filter produces an output signal from the input signal and the desired signal; and an image generator constructs a first filtered image from the output signal, relatively less blurred than the second image. | 09-11-2008 |
20080219582 | Apparatus for Filtering an Image Obtained by Block Based Image Decompression - Block-wise compressed image data is decompressed and the decompressed data is subjected to a cascade of low pas filtering operations, in order to remove block edge artefacts and/or ringing artefacts. Selected ones of said low pass filtering operations in the cascade are skipped for selected pixel locations. The decision to skip is based on the size of the variation for the selected pixel location. An increasing number of filtering operations in the cascade is skipped with increasing size of the variations. | 09-11-2008 |
20080219583 | Image De-Ringing Filter - An image de-ringing filter system and method are provided. The method comprises: accepting image pixels; collecting data from a first group of pixels neighboring a test pixel; in response to the first group data, deciding if the test pixel includes image ringing artifacts; collecting data from a second group of pixels neighboring the test pixel; in response to the second group data, generating a filtered value (FV); and, replacing the test pixel actual value with FV. Typically, collecting data from the first and second group of pixels includes the performance of a mathematical operation. For example, a matrix may be defined for the multiplication of the first group of pixels. Values of pixels on a first side of the coordinate axis may be subtracted from pixels on a second side of the coordinate axis, opposite of the first side. Then, the difference is compared to a threshold. | 09-11-2008 |
20080240600 | ADAPTIVELY POST FILTERING ENCODED VIDEO - Some embodiments of the invention provide a method of decoding an encoded video signal that includes a plurality of successive encoded images. The method initially receives an encoded image of the video signal. It then decodes the encoded image. The method next examines the decoded image to determine whether the decoded image satisfies at least one criterion for performing a post-filter operation on the decoded image. Only if the decoded image satisfies the criterion, the method performs the post-filter operation on the decoded image. The criterion in some embodiments is whether the amount of time for applying the post-filter operation exceeds the remaining amount of time that the method has to process the received image. Some embodiments of the invention provide a method of post-filtering a current image that was decoded from an encoded video signal, which includes a plurality of successive encoded images. The current image has several sub-sections. The method selects a sub-section of the current image. It then determines whether the selected sub-section satisfies at least one condition for performing a post-filter operation on the selected sub-section. The method next performs the post-filter operation on the selected sub-section only if the selected sub-section satisfies the criterion. | 10-02-2008 |
20080253679 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - Recursive filtering that multiplies image data of a previous frame read out from a memory by a, multiplies image data of the present frame by (1−a), adds the resultants together, and stores the resultant of the addition in the memory is performed. Here, a is a coefficient in the range of 0 | 10-16-2008 |
20080285881 | Adaptive Image De-Noising by Pixels Relation Maximization - A method is disclosed for adaptive filtering of at least one pixel having an initial value of an image composed of pixels. The method comprises: calculating local expected value for the pixel; calculating local signal to noise ratio; calculating local filtration ratio based at least on said local signal to noise ratio; calculating a weighted average of the initial value and local expected value using said local filtration ratio as weight; and assigning the weighted average as a new value for the pixel. | 11-20-2008 |
20080292202 | Dynamic Range Compensation-Dependent Noise Reduction - Methods and corresponding apparatus are presented that perform digital range compensation (DRC) and noise reduction (NR) together on a pixel-by-pixel basis, adjusting the noise reduction parameters in response to the digital range compensation decisions. By such a modification of image noise reduction parameters based on the dynamic range compensation gain or, more generally, other such factors, these techniques make it possible to perform DRC on noisy images, achieving an image with low and uniform noise levels. | 11-27-2008 |
20080298708 | Methods and apparatuses that reduce noise in image signals - Methods and apparatuses for noise reduction of imager pixels signals. A weighted combination based on the presence of edges of two calculated demosaiced signals is used to produce a noise reduced signal. The noise reduced signal may be sharpened based on a calculated luminance of the two demosaiced signals. | 12-04-2008 |
20080310750 | Adaptive Post-Deringing Filter on Compressed Images - An image filtering method, apparatus and system, wherein the method comprising the steps of detecting at least one portion of an edge, wherein the portion of the edge provides an indication that ringing artifact are probable; subjecting at least one portion of a pixel, related to the at least a portion of the edge, to a low pass filter to produce a filtered pixel; and blending the filtered pixel with a value relating to the filter prior to filtering to produce a filtered image. | 12-18-2008 |
20080317371 | VIDEO NOISE REDUCTION - A video noise reduction technique is presented. Generally, the technique involves first decomposing each frame of the video into low-pass and high-pass frequency components. Then, for each frame of the video after the first frame, an estimate of a noise variance in the high pass component is obtained. The noise in the high pass component of each pixel of each frame is reduced using the noise variance estimate obtained for the frame under consideration, whenever there has been no substantial motion exhibited by the pixel since the last previous frame. Evidence of motion is determined by analyzing the high and low pass components. | 12-25-2008 |
20090003723 | Method for Noise-Robust Color Changes in Digital Images - A method for applying filters to digital images with minimal amplification of image noise, comprising filtering the digital image with an EPDR edge-preserving detail-reducing filter, determining a matrix from the filtered image as a result of one or more structure adaptive functions, and modifying the digital image using the filter, adjusted by the matrix values, to produce an enhanced digital image. The order of processing may be inverted, by first determining the matrix and then filtering the matrix with the edge-preserving detail-reducing filter. | 01-01-2009 |
20090028457 | Noise Elimination Apparatus and Noise Elimination Method - A noise elimination apparatus has a subtracting section | 01-29-2009 |
20090034865 | Method for Filtering Images with Bilateral Filters - A method filters an input image to produce an output image. A bilateral filter is composed of a spatial filter and a range filter. Pixel intensities in the input image are multiplied by each other to produce the set of power images, which approximate the application of the range filter. The spatial filter is applied to the set of power image to determine responses, and the responses are combined on a pixel-by-pixel basis to produce a bilaterally filtered output image. | 02-05-2009 |
20090041371 | IMAGE PROCESSING APPARATUS - A correlation judgment part judges a correlation direction on each pixel. In a case where a correlation direction of a specified pixel is a vertical direction and the correlation thereof is small in any other direction, it is judged that the specified pixel is a pixel on an edge in the vertical direction. Then, a noise removal filtering operation is performed on the specified pixel by using pixels on a line in the vertical direction and an edge enhancement operation is performed by using pixels on a line in a horizontal direction. | 02-12-2009 |
20090060368 | Method and System for an Adaptive HVS Filter - Methods and systems for an adaptive HVS filter are disclosed. Aspects of one method may include generating standard quantized coefficients and filtering coefficients during processing of video data. The standard quantized coefficients may be filtered by utilizing the corresponding filtering coefficients. A filtering matrix comprising the filtering coefficients may be generated using one of a plurality of adaptive quantization matrices. Each of the adaptive quantization matrices may be generated based on, for example, a texture of a portion of the video data being processed. The adaptive quantization matrix for generating the filtering coefficients may be selected for each macroblock, or for each block in a macroblock, in the video data. The value of a standard quantized coefficient may be set to a zero when the corresponding filtering coefficient is zero. The original value of a standard quantized coefficient may be used as is when the corresponding filtering coefficient is non-zero. | 03-05-2009 |
20090060369 | Systems and Methods for Determination of a Camera Imperfection for an Image - Methods and systems for creating an image filter is described. In one embodiment, a method includes receiving a first plurality of images captured by an at least one camera with a same setting as a first camera. The method further includes creating an averaged image from the plurality of captured images, wherein the averaged image comprises a measurement value of intensity for each pixel in the averaged image. The method also includes determining an image imperfection in the averaged image. The method further includes creating the image filter to reduce the image imperfection. | 03-05-2009 |
20090060370 | FILTER FOR ADAPTIVE NOISE REDUCTION AND SHARPNESS ENHANCEMENT FOR ELECTRONICALLY DISPLAYED PICTURES - Electronic images that are degraded by noise and data reduction, such as MPEG encoding, display artifacts in the reproduced image, such as ringing (“ripples”) and blocks (“huge pixels”), and noise in the image may be apparent as graininess. By performing image analysis, both on a frame-by-frame and pixel-by-pixel basis it is possible to identify and separate edges in the image, ringing artifacts and the boundaries between block transitions. By applying noise reduction according to the analysis, followed by sharpness enhancement, it is possible to clean up the image for further utilization. | 03-05-2009 |
20090074319 | Adaptive image up-scaling technique - A method for scaling an image includes providing a set of filters based upon a low-resolution data set and a high-resolution data set suitable for up-scaling a low resolution image to a high resolution image. The filters are collectively representative of at least a portion of an image space and a substantial number of the filters are representative of a different at least one selected from a volume and a shape within the image space. A low-resolution image is received and generates a corresponding high-resolution image based up the filters. | 03-19-2009 |
20090074320 | IMAGE MAGNIFICATION DEVICE, IMAGE MAGNIFICATION METHOD AND COMPUTER READABLE MEDIUM STORING AN IMAGE MAGNIFICATION PROGRAM - A high-definition magnified image is obtained by simple computation. A magnified image is obtained by obtaining a deteriorated image on the basis of an input original image, determining enhancement filters used for individual small areas of the original image using the deteriorated image at least, performing a filtering process by applying the filters thus determined to the individual small areas to achieve enhancement, and interpolating the image for magnification. | 03-19-2009 |
20090116762 | Content-based gaussian noise reduction for still image, video and film - A noise filtering technique for reducing noise in an image comprised of an array of pixels achieves strong filtering over smooth areas and less filtering over rich edge areas. The technique commences by defining M×N neighborhood of pixels for a selected pixel, where M and N are integers. The technique also includes the step of establishing a local filter strength for the selected pixel in accordance with its local variance, and filtering the selected pixel to reduce noise in accordance with its established local filter strength. | 05-07-2009 |
20090129695 | METHOD AND SYSTEM FOR NOISE MANAGEMENT FOR SPATIAL PROCESSING IN DIGITAL IMAGE/VIDEO CAPTURE SYSTEMS - A computer-implemented method for noise management in a digital image system measures noise levels of pixel data. The noise levels are adjusted with at least one of an intensity gain setting, a spatial gain setting, and a global gain setting to calculate noise adaptive thresholds for use during spatial processing of the pixel data. | 05-21-2009 |
20090154828 | METHOD FOR ADAPTIVE IMAGE ENHANCEMENT - A filtering system and method are disclosed, to perform simultaneous, de-noising, and details enhancement tasks of a video image. The efficient filtering system includes multiple filters, which operate on a portion of the video image that has been partitioned into multiple rings. Using the filtering system, complex mathematical operations are avoided. | 06-18-2009 |
20090161979 | IMAGE ACQUIRING APPARATUS AND CONTROL METHOD THEREOF - An image acquiring apparatus includes: an image sensor which senses light reflected from an object to be read, and which detects an analog pixel value corresponding to the sensed reflected light; and a compensator which compensates the analog pixel value in its analog form for removing a background of the object contemporaneously as the object is being read in line(s). | 06-25-2009 |
20090185754 | IMAGE PROCESSING CIRCUIT AND IMAGE PROCESSING APPARATUS - There is provided an image processing circuit to which a block image obtained by cutting an area corresponding to a predetermined main scanning width and a predetermined sub-scanning width from an original image is input and which performs filter processing on each of pixels constituting the block image to be output. The image processing circuit includes: a memory which arranges each of segments in each of pixel rows in a sub-scanning direction and stores the block image, the segment being formed such that a bit width is a width equal to or larger than a main scanning width of a filter, a storage capacity is at least a double of a sub-scanning width of the filter, and each of the pixel rows of the block image is divided into the bit widths; a reading unit which reads pixel data as a filter processing target from the memory in a segment unit and outputs the pixel data; a filter processing unit which includes multipliers, which multiply the pixel data output by the reading unit and a predetermined filter coefficient corresponding to a pixel location of the pixel data, of the number corresponding to the main scanning width of the filter and which performs the filter processing by performing multiplication and addition calculations to output pixel data of a notice pixel; and a register which temporarily stores the pixel data read by the reading unit. The reading unit determines whether the pixel data as the filter processing target are all contained in one segment. When the pixel data as the filter processing target are all contained in the one pixel, the reading unit reads and outputs the pixel data of the segment. When the pixel data as the filter processing target are contained in two segments, the reading unit reads the pixel data of one of the two segments to stores the pixel data in the resistor and reads the pixel data of the other thereof together with the pixel data stored in the register to output the pixel data to the filter processing unit. | 07-23-2009 |
20090257673 | METHOD AND SYSTEM FOR NOISE LEVEL DETECTION IN IMAGE DATA - A system determines the noise level of image data by high pass filtering image data. Absolutes values of the high pass filtered image data are determined. Thereafter, multiple mean values for absolute values less than a predetermined number of threshold values are determined. Based upon the determined mean values, a plurality of estimated mean values is calculated, each estimated mean value being calculated from a combination of two determined mean values. The noise of the image is determined from a combination of the minimum estimated mean value and the maximum estimated mean value. This noise can be optionally used by a sigma filter, at Step S | 10-15-2009 |
20090263041 | Block Based Image Processing - Block based image processing techniques are described in which one or more processing filters are applied to an image block by block. One or more filters are identified to process an image. Attributes are obtained that describe the one or more filters. Image data is loaded into multiple input blocks based upon the obtained attributes. The one or more filters are applied to the image block by block. The results of the processing may be stored as multiple processed blocks corresponding to the multiple input blocks. Then, the processed blocks are stitched together to form a processed image. | 10-22-2009 |
20090268978 | Adaptive Generation Of Irregular Spatial Sub-sampling For Images - An adaptive filter is applied to samples in an initial pattern of samples. The samples in the initial pattern correspond to a subset of the image pixels which are to be predicted using the samples. A level value of each sample in the pattern is varied. The level value corresponds to the intensity/signal value of the sample, and may have a strong effect on the prediction power of the samples. A first prediction pattern (i.e., the prediction signal corresponding to the sampling pattern) is generated from the samples. A sample movement process is performed on a current sample in the first prediction pattern to change a current position of the current sample in the first prediction pattern. A local prediction of pixels influenced by the sample is updated if the sample's position is changed. A sample removal process is performed on the current sample to remove the sample from the first pattern if a criteria is satisfied. A local prediction of pixels is updated if the current sample is removed. A second prediction pattern (i.e., the prediction signal corresponding to the new/second sampling pattern) is generated from the samples remaining in the first pattern. The second pattern is output. | 10-29-2009 |
20090290807 | METHOD FOR AUTOMATIC ENHANCEMENT OF IMAGES CONTAINING SNOW - A content-based image processing method and system are provided for images identified as having snow content. Images having dark snow content are identified and processed with a first enhancement chain tailored to enhancing images which would be generally perceived as having dark snow while images having blue snow content are identified and processed with a second enhancement chain tailored to enhancing images which would be generally perceived as having blue snow. | 11-26-2009 |
20090290808 | Image Processing Method - An image processing method for removing a noise component contained in an original image includes: smoothing a noise component contained in an original image on a temporary basis by using a noise fluctuation index value; extracting a temporary noise component free of a non-noise component based upon a differential signal representing a difference between the original image and a smoothed image; extracting an actual noise component by further excluding a component less likely to be a noise component from the extracted temporary noise component by comparing the extracted temporary noise component with the noise fluctuation index value again; and removing noise from the original image based upon the extracted actual noise component having been extracted. | 11-26-2009 |
20090297056 | METHOD AND APPARATUS FOR EXTENDED DEPTH-OF-FIELD IMAGE RESTORATION - A method and apparatus are disclosed for restoring an image captured through an extended depth-of-field lens. Preprocessed data relating to image degradation is stored and used during an image restoration process. | 12-03-2009 |
20090317014 | Method for Filtering of Images with Bilateral Filters and Integral Histograms - The current invention describes a method for filtering an input image with a bilateral filter to produce an output image. The bilateral filter includes a spatial filter and a range filter. The method comprising the steps of: constructing an integral histogram from an input image including pixels, and wherein each pixel has an intensity; applying, for each pixel, the spatial filter to the integral histogram to produce a local histogram, each local histogram having a bin for a specified range of intensities of the pixels, each bin associated with a coefficient indicating a number of pixels in the specified range and an index to the coefficient; subtracting, for each bin in each local histogram, an intensity of the pixel from each index of the bin to produce a difference value; applying, for each bin, the range filter to each difference value to produce a response; scaling, each response by the corresponding coefficient to produce a scaled response; summing, for each local histogram, the scaled responses to produce a local response for the local histogram; summing, for each local histogram, the coefficients to produce a sum of the coefficient; and dividing, for each pixel, the local response by the sum of the coefficients to produce a response for the bilateral filter, which forms an output image. | 12-24-2009 |
20090317015 | Method for Filtering of Images with Bilateral Filters and Power Images - The current invention describes a method for filtering an input image with a bilateral filter. The bilateral filter includes a spatial filter and a range filter. The method constructs a set of power images from an input image including pixels, each pixel having intensity. Then, the method applies, to each power image, the spatial filter to determine a response for the spatial filter and the corresponding power image and combines the responses and the set of power images to produce a response for the bilateral filter. | 12-24-2009 |
20100021075 | DIGITAL IMAGE DEGRAINING FILTER AND METHOD - A method of filtering and a degraining filter employ lowest edge activity (LEA) to assign a pixel value in a filtered image. A method of filtering includes selecting a set of pixels that includes a central pixel and pixels surrounding the central pixel from a digital image. The set has a plurality of subsets of pixels where at least one subset includes the central pixel. The method of filtering further includes assigning a value of a corresponding central pixel in a filtered image. The assigned value is a mean value of pixels in an identified subset of the plurality having the LEA. A degraining filter includes a processor, a memory and a computer program having instruction that implement selecting the set, identifying the subset with LEA and assigning the value. | 01-28-2010 |
20100027905 | System and method for image and video encoding artifacts reduction and quality improvement - Reducing artifacts and improving quality for image and video encoding is performed in one pass to preserve natural edge smoothness and sharpness. To reduce artifacts and improve quality, several steps are implemented including spatial variation extraction, determining if a block is flat or texture/edge, classifying the pixels as texture or noise, detecting a dominant edge, checking the spatial variation of neighboring blocks, generating base weights, generating filter coefficients, filtering pixels and adaptive enhancement. A device which utilizes the method of reducing artifacts and improving quality achieves higher quality images and/or video with reduced artifacts. | 02-04-2010 |
20100034480 | Methods and apparatus for flat region image filtering - An image filter and method of smoothing pixel values. A pixel value of a pixel to be smoothed is compared with block average pixel values of each of a plurality of pixel blocks. The pixel to be smoothed may be downstream from each of the pixel blocks. If the difference between the pixel value and each of the block average pixel values is less than a corresponding sigma threshold value for each of the pixel blocks, a first sigma filter utilizing the block average pixel values is applied to the pixel to be smoothed. If the difference between the pixel value and any one of the block average pixel values is not less than a corresponding sigma threshold value, a second sigma filter is applied to the pixel to be smoothed. | 02-11-2010 |
20100040302 | Image sharpening technique - A sharpening technique for digital images for presentation on a display. | 02-18-2010 |
20100040303 | FILTERING OF NOISY IMAGES - A method for correcting an image from defects and filtering from Gaussian noise corrects each pixel of the image when it is considered defective and filters it from Gaussian noise in one-pass. The one-pass improves the speed for performing the correcting and filtering. The drawbacks associated with choosing incompatible defect correction and filtering operations are overcome. | 02-18-2010 |
20100067821 | System and method for denoising using signal dependent adaptive weights - A system and method for denoising using signal dependent adaptive weights includes an imaging device that captures image data corresponding to a photographic target. A denoising manager identifies similar pixels from said image data that are located within a pre-defined processing window around the pixel to be denoised. The denoising manager computes signal-dependent weighting values that correspond to respective ones of the similar pixels. The denoising manager then calculates the denoised pixel value by utilizing the weighting values in conjunction with raw pixel values of the similar pixel set. In this manner all pixels in the image are denoised. | 03-18-2010 |
20100135592 | De-ringing operation for image processing - De-ringing operation for image processing. A selective image processing means is presented herein by which high frequency content is preserved while also eliminating ringing within digital images, and this is achieved without introducing aliasing. Based on the analysis of neighboring pixels, one or more of multiple filter modules and/or multiple image filtering/processing means is/are selectively applied to generate an output sample for a given pixel location. Two measures (e.g., local activity (LA) and edge strength (ES)) are calculated based on processing at least two different groups of pixels near a desired output sample. One of these groups of pixels may be a subset of another of the groups of pixels. By analyzing these two measures (e.g., LA and ES), selective processing of pixels near the desired output location ensures that high frequency content within the digital image is preserved with substantially reduced and/or eliminated ringing therein. | 06-03-2010 |
20100142843 | METHOD FOR ADAPTIVELY SELECTING FILTERS TO INTERPOLATE VIDEO DATA - A method for adaptively selecting filters to interpolate video data is provided. In the present method, when receiving video data encoded by a 4:2:2 sampling format, a plurality of filters having different weights are adaptively selected to convert the color components in the video data to a 4:4:4 sampling format based on the differences of luminance and color components among a target pixel and neighboring pixels thereof. Accordingly, the blurs occurred in an area with large color variation can be removed or reduced, such that the interpolated color components can be accepted by human eyes more easily. | 06-10-2010 |
20100142844 | MEASUREMENT-BASED AND SCALABLE DEBLOCK FILTERING OF IMAGE DATA - In a deblocking operation, pixel values within a first block of pixels are compared, and pixel values in the first block are also compared to pixel values in a second block of pixels that is adjacent to the first block. Based on the results of the comparisons, a digital deblocking filter and a region of interest can be selected, where the region of interest identifies a number of pixels in the first block and a number of pixels in the second block to which the selected filter is to be applied. | 06-10-2010 |
20100220939 | Method and Apparatus for Edge-Based Spatio-Temporal Filtering - There are provided methods and apparatus for edge-based spatio-temporal filtering. An apparatus for filtering a sequence of pictures includes a spatial filter, a motion compensator, a deblocking filter, and a temporal filter. The spatial filter is for spatially filtering a picture in the sequence and at least one reference picture selected from among previous pictures and subsequent pictures in the sequence with respect to the picture. The motion compensator, in signal communication with the spatial filter, is for forming, subsequent to spatial filtering, multiple temporal predictions for the picture from the at least one reference picture. The deblocking filter, in signal communication with the motion compensator, is for deblock filtering the multiple temporal predictions. The temporal filter, in signal communication with the deblocking filter, is for temporally filtering the multiple temporal predictions and combining the multiple temporal predictions to generate a noise reduced version of the picture. | 09-02-2010 |
20100239180 | Depth Reconstruction Filter for Depth Coding Videos - A method filters a depth image, wherein each depth image includes an array of pixels at locations (x, y), and wherein each pixel has a depth. A moving window is applied to the pixels in the depth image, wherein a size of the window covers a set of pixels centered at each pixel. A single representative depth from the set of pixel in the window is assigned to the pixel to produce a processed depth image. Then, each pixel in the processed depth image is filtered to correct outlier depths without blurring depth discontinuities to produce a filtered depth image. | 09-23-2010 |
20100272376 | IMAGE PROCESSING SYSTEM HAVING SCALING AND SHARPNESS DEVICE AND METHOD THEREOF - An image processing system having scaling and sharpness device and method thereof are described. The global frequency detecting unit calculates a vertical frequency level of the input pixels along a vertical direction and a horizontal frequency level along a horizontal direction. The gradient-calculating summation unit calculates a set of gradient brightness levels according to a portion of the input pixels along a set of directions respectively. The threshold-adjusting device adjusts a first threshold and a second threshold based on the relationship of the vertical frequency level and the horizontal frequency level. The image blending device determines a cross-angle direction with the first threshold from the threshold-adjusting device and determines a minimum-angle direction with the second threshold from the threshold-adjusting device, wherein the image blending device generates the first pattern associated with the cross-angle direction and the second pattern associated with the minimum-angle direction and blends the first pattern with the second pattern based on the weighting factor value. | 10-28-2010 |
20100284626 | METHOD, AN APPARATUS AND A COMPUTER-READABLE MEDIUM FOR PROCESSING A NIGHT VISION IMAGE DATASET - A method is disclosed for enhancing the quality of an image dataset, such as, e.g., reducing the noise in a noisy image data set and increasing the contrast in the image data set. The method may be used for processing a sequence of image datasets, e.g. night vision image datasets, wherein said sequence comprises at least two image datasets each having at least two pixels, and wherein each pixel has an intensity value. The method comprises calculating a structure tensor for each pixel in an image dataset comprised in the sequence of image datasets; calculating values in a summation kernel based on said structure tensor for each pixel in said image dataset; calculating a weighted intensity value for each pixel in said first image dataset, using as weights the values in said summation kernel; storing said weighted intensity value for each pixel in said image dataset as a processed intensity value for each corresponding pixel in a processed output image dataset; rotating a local coordinate system in which the summation kernel is described resulting in that the coordinate axes of said local coordinate system coincide with the directions of the eigenvectors of said structure tensor, where said eigenvectors are described in the global coordinate system of the image dataset, and scaling the coordinate axes of the local coordinate system in which the summation kernel is described by an amount related to the eigenvalues of the structure tensor via a width function W(λ | 11-11-2010 |
20100303375 | IMAGE PROCESSING APPARATUS - An image quality adjusting circuit in an image processing apparatus is provided with a line memory unit, a delay circuit unit, a first to fourth filter processing circuits, and an adder. In the delay circuit unit, delay circuits are arranged in a matrix form. Delay circuits arranged in a horizontal direction receive an image data directly or via line memories. The image quality adjusting circuit each perform filter processing on the received image data signals lying in a horizontal direction, in a vertical direction, in a down-right direction, and in a down-left direction. The image quality adjusting circuit performs addition of the image data on a focus pixel and the filter-processed data, and thus performs edge correction processing. | 12-02-2010 |
20110019934 | BLOCK ARTIFACT REDUCER - A block artifact reduction system is provided. An apparatus for reducing block artifact in an image sequence according to some embodiments of the present invention includes a motion detection unit that detects a motion signal from a first frame of an image signal and a second frame of the image signal; a block border offset and motion-based correction determination (BOMCS) unit that determines block border locations based on the second frame and a correction strength based on the second frame and the motion signal; and an intensity filter that filters the second frame based on the block border locations and the correction strength to output a corrected image signal. | 01-27-2011 |
20110026850 | CONTEXT-CLUSTER-LEVEL CONTROL OF FILTERING ITERATIONS IN AN ITERATIVE DISCRETE UNIVERSAL DENOISER - Embodiments of the present invention are directed to various enhanced discrete-universal denoisers that have been developed to denoise images and other one-dimensional, two-dimensional or higher-dimensional data sets in which the frequency of occurrence of individual contexts may be too low to gather efficient statistical data or context-based symbol prediction. In these denoisers, image quality, signal-to-noise ratios, or other measures of the effectiveness of denoising that would be expected to increase monotonically over a series of iterations may decrease, due to assumptions underlying the discrete-universal-denoising method losing validity. Embodiments of the present invention apply context-class-based statistics and statistical analysis to determine, on a per-context-class basis, when to at least temporarily terminate denoising iterations on each conditioning class. Each iteration of the iterative methods applies context-based denoising only for those conditioning classes that statistical analysis indicates remain valid for denoising purposes. | 02-03-2011 |
20110097010 | Method and system for reducing noise in images in video coding - A method, system and computer program product for filtering noise from an image is disclosed. The image includes a plurality of pixels. A category for each of the plurality of pixels in the image is determined. Thereafter, a filter value for each of the plurality of pixels is determined based on the category of each of the plurality of pixel. Finally each of the plurality of pixels is modified based on the filter value of each of the plurality of pixels. | 04-28-2011 |
20110135217 | IMAGE MODIFYING METHOD AND DEVICE - A sharpening technique for digital images for presentation on a display is provided. In the technique, an image is modified in order to sharpen the features while at the same time suppress the noise. The image is first filtered resulting in at least two different channels of information. The channels can contain such information as texture information or edge and flat region information. Each channel is then further filtered in order to enhance the information stored in that channel. Finally, the channels are combined to result in a modified image with a different sharpness. | 06-09-2011 |
20110164827 | AUDIOVISUAL CONTENT DELIVERY SYSTEM - A system for processing video data to improve image quality at low data rates comprising an encoder generating an entropy signal representing the relative entropy of the video data and a plurality of filters each receiving the entropy signal and a threshold setting and filtering the video data if the entropy signal is greater than the threshold setting. | 07-07-2011 |
20110235937 | DIGITAL IMAGE FILTER PROCESSING - Filter processing is performed on an image, in which a filter kernel having coefficients corresponding to positions of pixels is applied at a target pixel position and to sample pixels positioned in the neighborhood of the target pixel position. A bin is assigned to each unique coefficient of the filter kernel. A mask having respective positions corresponding to the positions of the filter kernel is created. Each respective position of the mask indexes to the bin for the coefficient corresponding to that position. The mask is positioned at the target pixel position, and the respective pixel value of each sample pixel is accumulated in the bin corresponding to the position of the sample pixel in the mask. The accumulated pixel values in each respective bin are multiplied by the coefficient corresponding to the bin. The resultant products are summed to determine a filtered pixel value at the target pixel position. | 09-29-2011 |
20110317934 | PROVIDING AN IMAGING OPERATOR FOR IMAGING A SUBTERRANEAN STRUCTURE - To perform imaging of a subterranean structure, an imaging operator is generated through the design of a weight, where the weight is computed according to a design criterion, where the design criterion is selected from the group consisting of: (1) the imaging operator provides a true amplitude image; (2) the imaging operator minimizes mean square error; and (3) the imaging operator corresponds to a least squares inverse of a forward modeling operator. The weighted filter as defined by the computed weights is applied to produce an image of a subterranean structure. | 12-29-2011 |
20120128263 | METHOD OF FILTERING A SIGNAL AND OF OBTAINING FILTER COEFFICIENTS - A method of filtering a signal includes determining a class of a section ( | 05-24-2012 |
20120213451 | IMAGE PROCESSING APPARATUS AND METHOD - The disclosure provides an image processing apparatus and method. The image processing apparatus may include: a filter for performing an iterative filtering on an input image; and an iterative filtering stopping device for determining whether to stop the iterative filtering according to a variation speed of the filtered image obtained from each iteration of the iterative filtering with increasing of iteration times. | 08-23-2012 |
20120257840 | IMAGE PROCESSING APPARATUS INCLUDING ERROR DIFFUSION PROCESSING WHICH ADDS GREEN NOISE CHARACTERISTICS, IMAGE PROCESSING METHOD INCLUDING ERROR DIFFUSION PROCESSING WHICH ADDS GREEN NOISE CHARACTERISTICS AND A COMPUTER READABLE STORAGE MEDIUM STORING PROGRAM THEREOF - An image processing apparatus including an input unit which inputs a pixel value of a multi-level notice pixel, a first add unit which acids an error value to the input value, a second add unit which adds a green noise value to the input value, a threshold processing unit which outputs an binarized output values a green noise calculation unit which calculates the green noise value, a subtract unit which calculates an error value due to binarization, an error diffusion unit which diffuses the calculated error value to an untreated pixel which is not yet binarized and a correction processing unit which adds a positive first offset to the error value to perform a correction and outputs the corrected error value to the first add unit. | 10-11-2012 |
20120288213 | METHOD FOR REDUCING NOISE FOR CODING OF NOISY IMAGES OR IMAGE SEQUENCES - A prediction error (e | 11-15-2012 |
20120294547 | METHOD FOR ADAPTIVE IMAGE ENHANCEMENT - A filtering system and method are disclosed, to perform simultaneous, de-noising, and details enhancement tasks of a video image. The efficient filtering system includes multiple filters, which operate on a portion of the video image that has been partitioned into multiple rings. Using the filtering system, complex mathematical operations are avoided. | 11-22-2012 |
20130064469 | EDGE-PRESERVING NOISE FILTERING - The invention relates to an image processing apparatus ( | 03-14-2013 |
20130089269 | Scene Adaptive Filter Design for Improved Stereo Matching - A method is provided that includes generating coefficients of a scene adaptive filter (SAF) based on differences between values of neighboring pixels in a representative two dimensional (2D) image, and applying the SAF to a plurality of corresponding 2D images. | 04-11-2013 |
20130251284 | System and Method for Filtering an Image - An embodiment is configured to calculate a perceptual masking factor at a pixel location at a block boundary of the image, calculate a parameter for a filter at the pixel location at the block boundary, and filter the image around the pixel location at the block boundary employing the filter with the calculated parameter. The perceptual masking factor is formed as a product of a background activity masking map and a luminance masking map. The filter includes a parameter that is selected in view of a quality of experience performance measure for the image at the pixel location at the block boundary of the image. | 09-26-2013 |
20130259397 | EDGE-PRESERVING FILTERING METHOD AND APPARATUS - An edge-preserving filtering method and apparatus. The edge-preserving filtering method includes: acquiring an upper edge pixel P(x,y−n), a lower edge pixel P(x,y+m), (m+n) left edge pixels P(x−p,y′), and (m+n) right edge pixels P(x+q,y′) of a pixel to be filtered P(x,y), wherein “x”, “y”, “m”, “n”, “p” and “q” are all positive integers, and “y” takes an integer larger than “y−n” and less than “y+m” in turn; acquiring a filtered pixel value of the pixel to be filtered by using pixel values of the pixel to be filtered, the upper edge pixel, the lower edge pixel, the left edge pixels and the right edge pixels. The edge-preserving filtering method and apparatus in accordance with an embodiment utilize edge information around the pixel to be filtered to swiftly acquire a set of pixels for filtering the pixel to be filtered, and thus implement edge-persevering filtering. | 10-03-2013 |
20130343670 | METHOD FOR CONVERTING INPUT IMAGE DATA INTO OUTPUT IMAGE DATA, IMAGE CONVERSION UNIT FOR CONVERTING INPUT IMAGE DATA INTO OUTPUT IMAGE DATA, IMAGE PROCESSING APPARATUS, DISPLAY DEVICE - In a method and device for improving image rendition by contrast and/or sharpness enhancement the sharpness enhancement is made dependent on the local average luminance value. A mix is made of spatially enhanced image signals is used, wherein for various signal differing spatial frequencies are boosted. The mixing factors for mixing of the boosted signals are dependent on a local average luminance value such that the distribution over frequency bands shifts to higher frequencies and sharper enhancement as the luminance value increases. | 12-26-2013 |
20140050417 | IMAGE FILTERING BASED ON STRUCTURAL INFORMATION - A method and an apparatus for image filtering are described. Structural information is employed during the calculation of filtering coefficients. The structural information is described by the regions defined through an edge map of the image. In one embodiment, the region correlation between the target pixel and a contributing pixel is selected as a structural filtering coefficient. The region correlation, which indicates the possibility of two pixels being in the same regions, is calculated by evaluating the strongest edge cut by a path between the target pixel and a contributing pixel. The structural filtering coefficient is further combined with spatial information and intensity information to form a spatial-intensity-region (SIR) filter. The structural information based filter is applicable to applications such as denoising, tone mapping, and exposure fusion. | 02-20-2014 |
20140056537 | REDUCING DIGITAL IMAGE NOISE - Devices, systems, methods, and other embodiments associated with reducing digital image noise are described. In one embodiment, a method includes filtering a digital image with a plurality of adaptive filters, wherein the plurality of adaptive filters include a first filter configured to filter noise surrounding one or more edges in the digital image, and a second filter configured to filter noise caused by a block based encoding of the digital image. The method further includes reducing a compression artifact from selected pixels in the digital image, wherein the compression artifact is reduced by (i) combining an output from the first filter and an output from the second filter in response to the digital image being determined to be blocky, and (ii) not combining the output from the first filter with the output of the second filter in response to the digital image not being determined to be blocky. | 02-27-2014 |
20140064633 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - The present invention controls blur and sharpness according to a depth without performing processes repeatedly for each object determination or for each distance. A filter for a target pixel is determined by comparing multiple thresholds representing an optical characteristic of an image capturing unit and multiple values representing distance to a subject in the target pixel and pixels around the target pixel. Then, the filter is applied to the target pixel. | 03-06-2014 |
20140193093 | METHOD AND SYSTEM FOR ENHANCING IMAGE QUALITY - The present disclosure relates to image filtering techniques for enhancing image quality. In one embodiment, two filtering techniques are applied on an image. Firstly, an adaptive weighted median filtering operation is performed on an acquired low contrast image corrupted by impulsive noise. Subsequently, a guided image filtering on the image obtained from adaptive weighted median filtering operation to de-blur and enhance the contrast that ultimately assures to preserve the edges of the images. In addition, the image filtering for enhancing image quality is enhanced by several variations of data adaptive guided image filtering and adaptive window sizes for guided image filtering techniques. | 07-10-2014 |
20140355902 | IMAGE PROCESSING METHOD WITH DETAIL-ENHANCING FILTER WITH ADAPTIVE FILTER CORE - One or more embodiments of the invention relate to an image processing system and method for filtering with an adaptive filter core size, the method including: an original image is created, an information measure is calculated on the basis of the original image, a filter core size is calculated on the basis of the information measure, the original image is low-pass filtered with an adaptive low-pass filter with the filter core size to form a low-pass filtered image, a high-pass filtered image is calculated by subtracting the low-pass filtered image from the original image, a detail-enhanced image without light rings is obtained by a high-pass image scaled with a detail enhancement measure being added to the low-pass image. Embodiments additionally relate to an image processing device having an image recording device, an image processing unit, and an image display unit. | 12-04-2014 |
20150063717 | SYSTEM AND METHOD FOR SPATIO TEMPORAL VIDEO IMAGE ENHANCEMENT - A method for improving quality of low light video images including: receiving a current video frame; temporally enhancing it by applying a first weight matrix including higher weight factors for stationary regions and lower weight factors for moving regions to the received frame and a reference frame to generate an enhanced temporal video frame; spatially enhancing the enhanced temporal video frame by applying a second weight matrix including higher weight factors for stationary regions and lower weight factors for moving regions to generate an enhanced spatial video frame; and motion enhancing the enhanced temporal video frame by extracting matched rigid moving objects in a previous or future frame and processing each of the extracted matched rigid moving objects with a corresponding rigid object in the enhanced temporal or spatial or raw current video frame. | 03-05-2015 |
20150086125 | Adaptive Weighted-Local-Difference Order Statistics Filters - A novel modification to the order statistics filters called the Adaptive Weighted-Local-Difference Order Statistics is shown that will act as a generic framework for the design of adaptive filters suitable for specific signal processing applications. To demonstrate the design of filters using this framework two implementations were defined and evaluated: Edge Orientation Adaptive Weighted-Local-Difference Median Filter (EOAWLDMF) and Luminance-Similarity Adaptive Weighted-Local-Difference Median Filter (LSAWLDMF) for restoration of noisy images. | 03-26-2015 |
20150117793 | RECURSIVE DE-BANDING FILTER FOR DIGITAL IMAGES - A method and apparatus are provided for filtering banding noise in a signal representative of an image. The method includes detecting, by a banding noise detector, banding noise in a neighborhood of a current pixel of the image, determining, by an adaptive filter weight decision unit, a number of banding steps in the neighborhood of the current pixel, determining, by the adaptive filter weight decision unit, a difference between a current pixel value and a previous output value, selecting, by the adaptive filter weight decision unit, a filter weight based on the number of banding steps, the difference between the current pixel value and the previous output value, and the detected banding noise, and filtering, by a recursive filter, the current pixel value according to the selected filter weight. | 04-30-2015 |
20150131922 | METHOD FOR REMOVING NOISE OF IMAGE SIGNAL AND IMAGE PROCESSING DEVICE USING THE SAME - A method of removing noise of an image signal includes receiving a first frame and a second frame, generating a spatial filtering frame by performing spatial filtering on the second frame, generating a temporal filtering frame by performing temporal filtering on the first frame, and generating a second filtering frame, using the temporal filtering frame, the spatial filtering frame, and the second frame. | 05-14-2015 |
20150317777 | IMAGE PROCESSING APPARATUS AND METHOD FOR FILTERING AN IMAGE - The present invention relates to an image processing apparatus for filtering an image. Said apparatus comprises an image input ( | 11-05-2015 |
20150356711 | CONTROL DEVICE - A control device includes a flatness calculator and control-value logic. The flatness calculator calculates flatness of an image corresponding to an image signal. The control-value logic determines a control value based on the flatness. The control value controls a size of an operation region on which a first-order infinite impulse response (IIR) filter is to process the image signal to reduce noise. | 12-10-2015 |
20160117807 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND IMAGE PROCESSING PROGRAM - An image processing device includes a generation unit and a smoothing processor. The generation unit calculates an edge strength on the basis of a stairs tone strength indicative of differences between a first parameter and a second parameter. The first parameter is a first gradient based on pixel values of a pixel of interest in an input image and adjacent pixels included in a first range with respect to the pixel of interest. The second parameter is one of a variance based on pixel values of the pixel of interest and the adjacent pixels, and a second gradient based on the pixel value of the pixel of interest and adjacent pixels included in a second range. The smoothing processor performs a nonlinear smoothing operation on the pixel value of the pixel of interest and the adjacent pixels included in the first range on the basis of the calculated edge strength. | 04-28-2016 |
20160125579 | Systems and Methods for Rectifying Image Artifacts - A sparse FIR filter can be used to process an image in order to rectify imaging artifacts. In a first example application, the sparse FIR filter is applied as a selective sparse FIR filter that examines a set of selected neighboring pixels of an original pixel in order to identify smooth areas of the image and to selectively apply filtering to only the smooth areas of the image. The parameters of selective filtering are selected based on the characteristics of an inter-layer predictor. In a second example application, the sparse FIR filter is applied as an edge aware selective sparse FIR filter that examines additional neighboring pixels to the set of selected pixels in order to identify edges and carry out selective filtering of smooth areas of the image. Examples for detecting and removing banding artifacts during the coding of high-dynamic range images are provided. | 05-05-2016 |
20160171673 | SUB-PIXEL MODIFICATION OF DIGITAL IMAGES BY LOCALLY SHIFTING TO AN ARBITRARILY DENSE SUPERGRID | 06-16-2016 |
20160379349 | IMAGE PROCESSING APPARATUS, IMAGE PICKUP APPARATUS, IMAGE PROCESSING METHOD AND STORAGE MEDIUM - An image processing apparatus includes an image acquisition unit ( | 12-29-2016 |