Abstract: A method and apparatus for encoding bit code utilizing context dependency simplification to reduce dependent scans. The method includes retrieving at least one 2 dimensional array of transform coefficient, transforming the at least one 2 dimensional array of transform coefficient to a 1 dimensional coefficient scanning using a diagonal scan in a fixed direction, utilizing the at least one 1 dimensional array of transform coefficients for context selection based on fewer than 11 neighbors, potentially selected based on scan direction, slice type, coding unit type and binarization, and performing arithmetic coding to generate coded bit utilizing context selection and binarization.

Abstract: Pixel depth information is used to determine a weight to apply to neighboring pixels when using a sharpening filter. A difference between neighboring pixel depths is evaluated and pixels with pixel depths that exceed a threshold are given less weight than other pixels. A sharpening mask may be generated using adjusted pixel colors.

Abstract: A method is provided for generating a visualization for explaining a behavior of a machine learning (ML) model, the method includes inputting an image into a machine learning (ML) model for an inference operation. A first heatmap is generated for the image using a first visualization method. An area of highest attention is selected on the first heatmap based a predetermined threshold. The selected area is cropped from the image. The cropped selected area is upscaled. A second heatmap is generated for the cropped and upscaled selected area of the image. A final visualization is presented for analysis. In another embodiment, a computer program comprising instructions for executing the method is provided.

Abstract: The embodiments of the present disclosure disclose methods and systems for determining a ring artifact. The method for determining the ring artifact may include: obtaining an original image; mapping a plurality of pixels in the original image to a polar coordinate image; determining a protection region in the polar coordinate image; obtaining a smooth image by smoothing at least one region in the polar coordinate image other than the protection region; generating a residual image based on the polar coordinate image and the smooth image; determining a location of the ring artifact in the original image based on the residual image. In the present disclosure, the original image may be mapped to a trapezoidal region or a triangular region in the polar coordinate image, and the gradient angle image may be used for image processing, which may reduce the influence of noise. An accurate location of the ring artifact may be determined, and information for imaging device detection and air correction may be provided.

Abstract: An image processing apparatus includes: a signal receiver configured to receive an input image; an image processor configured to process the input image and generate an output image; a storage configured to store a first patch corresponding to a first pixel of the input image; and a controller configured to control the image processor to generate the output image by applying the first patch stored in the storage to the first pixel.

Abstract: A method of processing image data in a connectionist network includes: determining, a plurality of offsets, each offset representing an individual location shift of an underlying one of the plurality of output picture elements, determining, from the plurality of offsets, a grid for sampling from the plurality of input picture elements, wherein the grid comprises a plurality of sampling locations, each sampling location being defined by means of a respective pair of one of the plurality of offsets and the underlying one of the plurality of output picture elements, sampling from the plurality of input picture elements in accordance with the grid, and transmitting, as output data for at least a subsequent one of the plurality of units of the connectionist network, a plurality of sampled picture elements resulting from the sampling, wherein the plurality of sampled picture elements form the plurality of output picture elements.

Abstract: [Object] To reduce the amount of data used for performing correction for a display device. [Solution] There is provided a correction device (2) including a correction-value calculation unit (6) that divides a display area of a display device into a plurality of unit areas and that calculates a correction value of luminance for each of the plurality of unit areas, a prioritized-area determination unit (8) that designates each of the plurality of unit areas as one of a prioritized area and a non-prioritized area in accordance with the calculated correction value, a recording unit (10) that records in a memory unit (M) a piece of data of the correction value for the prioritized area, and a correction unit (12) that corrects luminance for the prioritized area in accordance with the piece of data recorded in the memory unit and that uniformly corrects luminance for the non-prioritized area.

Abstract: Provided are a device and a method for determining an edge location based on the adaptive weighting of gradients (AWG). The method for determining an edge location according to an embodiment of the present invention includes the steps of determining, based on the edge width of an edge profile in an image, a power factor to be applied to a gradient of the edge profile in order to determine an edge location, calculating a difference value between values of adjacent pixels in the edge profile to generate the gradient, and applying the power factor determined based on the edge width to the gradient to determine the edge location.

Abstract: An image processing apparatus in an embodiment of the present disclosure includes: an obtaining unit configured to obtain viewpoint information indicating a change over time in a viewpoint corresponding to a virtual image; and a generation unit configured to generate the virtual image from the viewpoint according to the viewpoint information obtained by the obtaining unit such that among a plurality of objects included in the generated virtual image, an object whose position in the virtual image changes by a first amount according to the change of the viewpoint indicated by the viewpoint information is lower in clearness than an object whose position in the virtual image changes by a second amount smaller than the first amount according to the change of the viewpoint.

Abstract: An image processing device includes: a memory; and a processor comprising hardware, wherein the processor is configured to: receive agent observation image information including information of a plurality of pixels obtained by capturing an image based on fluorescence from a subject administered with an agent that emits fluorescence upon being irradiated with excitation light in a predetermined wavelength band; amplify pixel values of the plurality of pixels by executing first gain processing on the agent observation image information; and reduce pixel values of pixels lower than a predetermined threshold by executing reduction processing on the agent observation image information after the first gain processing.

Abstract: A method for denoising video content includes identifying a first frame block associated with a first frame of the video content. The method also includes estimating a first noise model that represents characteristics of the first frame block. The method also includes identifying at least one frame block adjacent to the first frame block. The method also includes generating a second noise model that represents characteristics of the at least one frame block adjacent to the first frame block by adjusting the first noise model based on at least one characteristic of the at least one frame block adjacent to the first frame block. The method also includes denoising the at least one frame block adjacent to the first frame block using the second noise model.

Abstract: An encoder includes circuitry and memory. Using the memory, the circuitry: generates a reconstructed image by encoding and decoding an original image; performs, on a current block included in the reconstructed image, filter processing that is applied to all pixels in the current block, when an edge intensity of the current block is lower than a threshold; and skips the filter processing on the current block when the edge intensity of the current block is higher than the threshold.

Abstract: Certain embodiments involve techniques for efficiently estimating denoising kernels for generating denoised images. For instance, a neural network receives a noisy reference image to denoise. The neural network uses a kernel dictionary of base kernels and generates a coefficient vector for each pixel in the reference image such that the coefficient vector includes a coefficient value for each base kernel in the kernel dictionary, where the base kernels are combined to generate a denoising kernel and each coefficient value indicates a contribution of a given base kernel to a denoising kernel. The neural network calculates the denoising kernel for a given pixel by applying the coefficient vector for that pixel to the kernel dictionary. The neural network applies each denoising kernel to the respective pixel to generate a denoised output image.

Abstract: Innovations in flexible reference picture management are described. For example, a video encoder and video decoder use a global reference picture set (“GRPS”) of reference pictures that remain in memory, and hence are available for use in video encoding/decoding, longer than conventional reference pictures. In particular, reference pictures of the GRPS remain available across random access boundaries. Or, as another example, a video encoder and video decoder clip a reference picture so that useful regions of the reference picture are retained in memory, while unhelpful or redundant regions of the reference picture are discarded. Reference picture clipping can reduce the amount of memory needed to store reference pictures or improve the utilization of available memory by providing better options for motion compensation. Or, as still another example, a video encoder and video decoder filter a reference picture to remove random noise (e.g., capture noise due to camera imperfections during capture).

Abstract: Image analysis and processing may include a multiple-tone-control (MTC) unit configured to obtain a tone-control gain lookup table, a plurality of MTC gain lookup tables, wherein the input image is divided into a plurality of blocks and wherein the plurality of MTC gain lookup tables includes a respective MTC gain lookup table corresponding to each respective block from the plurality of blocks, MTC grid parameters, MTC weighting parameters, a tone-control gain based on the tone-control gain lookup table, a MTC gain based on at least one MTC gain lookup table from the plurality of MTC gain lookup tables, the MTC grid parameters, and the MTC weighting parameters, and an output value based on the tone-control gain and the MTC gain.

Abstract: An image sensor, a signal acquisition method and a signal acquisition circuit of the image sensor, a storage medium and a terminal are provided. The image sensor includes a plurality of pixel modules, and each pixel module includes: n pixel units connected in series to form a closed-loop structure, wherein n?3, each pixel unit has a first terminal and a second terminal, and each pixel unit includes a photosensitive element and a pixel switch connected in series; and n signal readout terminals, wherein each serial connection point between one pixel unit and the other pixel units is connected with a corresponding signal readout terminal; wherein two adjacent pixel modules share a same pixel unit and signal readout terminals connected with the first terminal and the second terminal of the same pixel unit.

Abstract: The present disclosure relates to an image processing method. The image processing method may include upscaling a feature image of an input image by an upscaling convolutional network to obtain a upscaled feature image; downscaling the upscaled feature image by a downscaling convolutional network to obtain a downscaled feature image; determining a residual image between the downscaled feature image and the feature image of the input image; upscaling the residual image between the downscaled feature image and the feature image of the input image to obtain an upscaled residual image; correcting the upscaled feature image using the upscaled residual image to obtain a corrected upscaled feature image; and generating a first super-resolution image based on the input image using the corrected upscaled feature image.

Abstract: A portable electronic device may include an image signal processor that includes a clipping circuit, a pyramid generator circuit, and an image fusion processor. The clipping circuit clips pixel values that are under-exposed or over-exposed. The pyramid generator circuit applies a filter to the pixels of the image to generate a filtered image. Some of the filtered pixels may be generated from one or more clipped pixel values. The pyramid generator circuit identifies those filtered pixels that are generated from one or more clipped pixel values and marks the identified filtered pixels with a tag. The pyramid generator circuit decimates the filtered image to generate a downscaled image, which may include one or more filtered pixels that are marked with the tags. The image fusion processor fuses the downscaled image with another image. The pixels that are marked with the tags may be disregarded in the fusion process.

Abstract: An imaging apparatus includes an imaging element, a readout unit, and a signal processing unit. The imaging element includes pixels that have photoelectric conversion units for one micro lens. The readout unit performs a first readout operation on pixels included in a first region of the imaging element to read signals according to accumulated electric charges, and performs a second readout operation on pixels included in a second region different from the first region to read signals according to accumulated electric charges. The signal processing unit makes a correction for reducing noise levels to the signals readout by the readout unit. The signal processing unit makes the correction to the signals acquired from the first region such that differences between noise levels included in the signals read by the first readout operation and the second readout operation become smaller after the correction by the signal processing unit.

Abstract: A detection apparatus includes an image acquisition interface that acquires a captured image captured by an imaging unit and a controller that generates or acquires a smoothed image yielded by smoothing the captured image. The controller compares the captured image and the smoothed image and detects a low-frequency region having a predetermined spatial frequency spectrum from the captured image.

Abstract: According to the invention, a method for reducing aliasing artifacts in foveated rendering is disclosed. The method may include accessing a high resolution image and a low resolution image corresponding to the high resolution image, and calculating a difference between a pixel of the high resolution image and a sample associated with the low resolution image. The sample of the low resolution image corresponds to the pixel of the high resolution image. The method may further include modifying the pixel to generate a modified pixel of the high resolution image based on determining that the difference is higher than or equal to a threshold value. The modification may be made such that an updated difference between the modified pixel and the sample is smaller than the original difference.

Abstract: An unmanned mobile observation device, such as an unmanned aerial vehicle, can be used to acquire observation data for a sensitive area. The observation data can include image data and geolocation data corresponding to a real-world geographic location at which the image data was acquired. The geolocation data can be accurate to five centimeters or less. The observation data can be evaluated to identify any defects within the sensitive area. Such evaluation can include comparison with previously acquired image data for the sensitive area, which can be enables by using the geolocation data to select the corresponding previously acquired image data.

Abstract: An encoder includes circuitry and memory. Using the memory, the circuitry: generates a reconstructed image by encoding and decoding an original image; performs, on a current block included in the reconstructed image, filter processing that is applied to all pixels in the current block, when an edge intensity of the current block is lower than a threshold; and skips the filter processing on the current block when the edge intensity of the current block is higher than the threshold.

Abstract: Techniques for automatic creation of media collages are described. In one or more implementations, unwanted frames are identified and removed from items of media content. A media score is then determined for items of media content based on characteristics of an appearance of the items within a plurality of collage templates. A template score is determined for each collage template of the plurality of collage templates by combining the media scores for each media item of the plurality of media items included in a collage template. At least one of the plurality of collage templates is selected based on determined template scores. Then, at least one media collage is outputted based on the selected collage templates.

Abstract: Provided are an imaging device that make it possible to perform high-speed image capture of an observation target such as a cell, and to correct a shake caused by the movement of a stage or the like appropriately and simply. The imaging device includes a stage on which a vessel having an observation target received therein is installed, an imaging optical system that forms an image of the observation target, a horizontal driving unit that moves the stage in a main scanning direction and a sub-scanning direction orthogonal to the main scanning direction, and moves the stage forward and backward in the main scanning direction, an imaging unit that receives the image formed by the imaging optical system, and outputs an image signal of the observation target, and a shake correction unit that performs shake correction for correcting a shake caused by movement of the stage on the image signal.

Abstract: An automated percentage of breast density measure (PDa) that analyzes signal dependent noise (SDN) based on a wavelet expansion using full field digital mammography (FFDM). A matched case-control dataset is used with images acquired from a specific direct x-ray capture FFDM system. PDa is applied to the raw and clinical display representation images. Transforming (pixel mapping) of the raw image to another representation (raw-transformed) is performed using differential evolution optimization and investigated the influence of lowering the native spatial resolution of the image by a one-half. When controlling for body mass index, the quartile specific ORs for the associations of PDa with breast cancer varied with representation and resolution. PDa is a valid automated breast density measurement for a specific FFDM technology and compares well against PD (operator-assisted or the standard) when applied to either the raw-transformed or clinical display images from this FFDM technology.

Abstract: Systems and methods are disclosed for calculating a distortion value of a frame or block, in a number of color spaces, and determining an optimal coding mode based on the calculated distortion values. One embodiment includes a system having a video source that includes a video camera or a video archive that contains previously stored video content, and a processor configured to encode the stored video content.

Abstract: An image projection apparatus has: a deformable mirror configured from a plurality of micromirrors; an optical system to form, on the deformable mirror, an intermediate image of an image to be formed based on image data outputted from an image output unit; an imaging device; an image comparator; and a controller for controlling the deformable mirror. The image comparator performs comparison between the image data outputted from the image output unit, and image pickup data of a projection surface, the image of which is picked up by the imaging device, and obtains blur correction amount of the image on the projection surface by each divided region of a projection image, and based on the blur correction amount of the image on the projection surface, said blur correction amount having been obtained by each region, the controller moves, corresponding to the blur correction amount, the micromirrors corresponding to respective regions.

Abstract: There is provided an image processing device including: a preprocessing unit configured to perform preprocessing for reducing an amount of information of an input image to generate a preprocessed image and supply the preprocessed image to an encoding processing unit that encodes and outputs the preprocessed image, wherein the preprocessing unit includes a transformation unit configured to divide the input image into predetermined blocks, perform transformation processing with a predetermined method, and generate transform blocks, a block-of-interest determination unit configured to hold region information indicating a region of interest or a non region of interest of the input image and determine whether or not each transform block is a block of interest on the basis of the region information, and an information amount reduction unit.

Abstract: The present application discloses an organic light-emitting display panel and a driving method thereof, as well as an organic light-emitting display device. The display panel includes: an array arrangement including pixel units, wherein each pixel unit comprises a first, a second, a third and a fourth subpixels; a pixel circuit is formed in each subpixel; the first, second, third and fourth subpixels of an identical pixel unit are arranged along a column direction and are electrically connected with a given reference signal line; a color of the first subpixel, a color of the second subpixel, a color of the third subpixel and a color of the fourth subpixel differ from one another, and the color of the first subpixel, the color the second subpixel and the color the third subpixel are red, blue and green, respectively; and the color of the fourth subpixel is not white.

Abstract: One embodiment of the present invention sets forth a technique for zippering meshes of primitives. The technique involves identifying a first vertex associated with a first mesh boundary and having a first position and identifying a second vertex that is proximate to the first vertex and associated with a second mesh boundary, where the second vertex has a second position. The technique further involves determining a third position based on the first position, the second position, and a zippering strength factor, where the third position is located in a region between the first position and the second position. Filially, the technique involves moving the first vertex to the third position.

Abstract: To reduce the random noise in a depth map that is rendered using colors to convey the various depths, pattern recognition may be used to selectively apply noise reduction or to modulate the strength of the noise reduction. In this way, the potential adverse effect on the detail/sharpness of the image can be ameliorated. For example, in an image of a person, the skin does not have any sharp edges so noise reduction can be applied to such an image with little adverse consequence, whereas noise reduction applied to the image of a person's eye can cause loss of the detail of the iris, eyelashes, etc. Using pattern recognition on objects in the image, the appropriate level of noise reduction can be applied across an image while minimizing blurring/loss of detail.

Abstract: A method of encoding data in an encoder to generate corresponding encoded data includes receiving the data to be encoded and analyzing sub-portions of the data to be encoded to determine one or more encoding algorithms which are to be applied to encode the sub-portions, wherein the one or more encoding algorithms include at least one interpolation algorithm; computing one or more interpolation parameters for the at least one interpolation algorithm which are representative of data values of the sub-portion of the data to be encoded by the at least one interpolation algorithm; encoding a remainder of the sub-portions of the data to be encoded using the one or more encoding algorithms; and combining data generated in the computing and encoding to generate the encoded data. A method is also disclosed for decoding encoded data in a decoder. The methods may be employed in an encoder, decoder, and codec.

Abstract: An image processing apparatus includes: a calculation unit configured to calculate deformation information of an object deformed from a first deformation state to a second deformation state; a degree-of-deviation calculation unit configured to calculate a degree of deviation of the deformation information with respect to a deformation model representing a deformation state of the object; and a display control unit configured to display the calculated degree of deviation.

Abstract: An automated percentage of breast density measure (PDa) that analyzes signal dependent noise (SDN) based on a wavelet expansion using full field digital mammography (FFDM). A matched case-control dataset is used with images acquired from a specific direct x-ray capture FFDM system. PDa is applied to the raw and clinical display representation images. Transforming (pixel mapping) of the raw image to another representation (raw-transformed) is performed using differential evolution optimization and investigated the influence of lowering the native spatial resolution of the image by a one-half. When controlling for body mass index, the quartile specific ORs for the associations of PDa with breast cancer varied with representation and resolution. PDa is a valid automated breast density measurement for a specific FFDM technology and compares well against PD (operator-assisted or the standard) when applied to either the raw-transformed or clinical display images from this FFDM technology.

Abstract: Patch partition and image processing techniques are described. In one or more implementations, a system includes one or more modules implemented at least partially in hardware. The one or more modules are configured to perform operations including grouping a plurality of patches taken from a plurality of training samples of images into respective ones of a plurality of partitions, calculating an image processing operator for each of the partitions, determining distances between the plurality of partitions that describe image similarity of patches of the plurality of partitions, one to another, and configuring a database to provide the determined distance and the image processing operator to process an image in response to identification of a respective partition that corresponds to a patch taken from the image.

Abstract: A method, computer program product, and system for selectively disabling temporal dithering is disclosed. The method includes the steps of configuring a display device to refresh utilizing a dynamic refresh rate to display images and selectively disabling temporal dithering of the images based on the dynamic refresh rate. Selectively disabling temporal dithering may comprise determining a dynamic refresh rate associated with a current frame of image data and disabling temporal dithering for the current frame of image data when the dynamic refresh rate is less than a first threshold value, or enabling temporal dithering for the current frame of image data when the dynamic refresh rate is greater than or equal to a second threshold value.

Abstract: The present invention is directed to an apparatus and method for bistatic laser range imaging. The apparatus utilizes two light sources, two receivers, a demodulator and an image processor such that a three dimensional image is produced. The method includes generating beams of intensity modulated light, one toward a target, another toward a receiver. The light toward the target reflects from the target toward another receiver. The modulation envelopes of the beams of light are demodulated into components, the components digitized, then decimated, and a three dimensional image is constructed from the digitized components.

Abstract: An image processing apparatus processes image data. A first correction unit (i) corrects a pixel value of a target pixel in the image data based on a first similarity determined by comparing pixels included in a first target pixel group including the target pixel with pixels included in a first reference pixel group including a reference pixel, and (ii) produces a first corrected pixel value of the target pixel. A second correction unit (i) corrects the pixel value of the target pixel based on a second similarity determined by comparing pixels included in a second target pixel group including the target pixel with pixels included in a second reference pixel group including a reference pixel, and (ii) produces a second corrected pixel value. An output unit obtains corrected image data by using the first and second corrected pixel values based on the first similarity or the second similarity.

Abstract: It is provided a method of estimating an image sticking grade of a display, comprising steps of: displaying a first image in a first frame and a second image in a second frame on the display; switching the display, at at least two sampling times, to display the first image, and then obtaining brightness change factors and image sticking area factors for an image sticking displayed on the display at each sampling time to determine at least two image sticking grades corresponding to each sampling time, wherein an image sticking fading period is set as interval time between two adjacent sampling times to perform an image sticking fading process of the display; and determining a change trend of the image sticking grades of the display during the image sticking fading process based on the at least two image sticking grades when the image sticking stops fading.

Abstract: An image processing application performs improved face exposure correction on an input image. The image processing application receives an input image having a face and ascertains a median luminance associated with a face region corresponding to the face. The image processing application determines whether the median luminance is less than a threshold luminance. If the median luminance is less than the threshold luminance, the application computes weights based on a spatial distance parameter and a similarity parameter associated with the median chrominance of the face region. The image processing application then computes a corrected luminance using the weights and applies the corrected luminance to the input image. The image processing application can also perform improved face color correction by utilizing stylization-induced shifts in skin tone color to control how aggressively stylization is applied to an image.

Abstract: An image processing device according to an embodiment of the present invention obtains recovery image data by performing restoration processing using a restoration filter based on a point spread function of an optical system, on original image data obtained from an imaging element by imaging using the optical system. The restoration filter used in this restoration processing (a combination filter and realization filter Fr) is generated by combining multiple base filters Fb. Base filter Fb may be arbitrarily selected from filters that are confirmed beforehand to be effective to prevent image quality degradation.

Abstract: A reduction in residual energy of inter-frame prediction with motion compensation and improvement in encoding efficiency are achieved by using a region-dividing type adaptive interpolation filter that takes an edge property of a picture into consideration. An edge calculation unit calculates edge information from reference picture data designated by a motion vector. A region dividing unit divides an encoding target frame into a plurality of regions that are units to which interpolation filters are adaptively applied based on the edge information. A filter coefficient optimizing unit optimizes an interpolation filter for a fractional-accuracy pixel for each of the regions. A reference picture interpolating unit interpolates the fractional-accuracy pixel of a reference picture using the optimized interpolation filter, and a predictive encoding unit performs predictive encoding using motion compensation of fractional-accuracy.

Abstract: The present disclosure discloses an image processing method and apparatus. The image processing method comprises: obtaining a two-dimensional image; determining a target area on the two-dimensional image, wherein the two-dimensional image includes a background area and a target area, and the background area is an area outside of the target area; detecting a location of the target area on the two-dimensional image; selecting, according to the location of the target area on the two-dimensional image, a default processing manner used to perform blurring processing on pixels of the background area; and performing the blurring processing on the pixels of the background area according to the default processing manner. The present disclosure solves a problem that in the prior art, the blurring processing manner cannot be adjusted accordingly depending on different target areas on the an image. Therefore, for different target areas, corresponding blurring processing manners thereof are adopted.

Abstract: According to the invention, reliability is calculated in consideration of an uncertain error due to noise in three-dimensional measurement, thereby obtaining correct reliability as compared with a conventional technique. To achieve this, a three-dimensional measuring apparatus includes a projector which projects a striped light pattern onto an object, a camera which captures a reflected light pattern from the object onto which the striped light pattern is projected, and a calculation processing unit which executes various arithmetic operations. The calculation processing unit includes a noise calculating unit and a reliability calculating unit.

Abstract: The present invention discloses an image processing method and apparatus, where the method includes: downscaling an image to be processed; identifying identifiable targets in the downscaled image, and localizing temporary unidentifiable targets in the downscaled image; identifying the temporary unidentifiable targets at positions, corresponding to localized positions in the downscaled image, in the image to be processed. According to the present invention, only one object lens is needed to obtain the image to be processed, and no switching process between a high magnification lens and a low magnification lens is required during a target screening process; so that image identification speed is increased, and mechanical errors and offset in positioning are avoided.

Abstract: A system and method of operation of an imaging system includes: a capture module for receiving an input sequence with an image pair, the image pair having a first image and a second image and for determining a first patch from the first image and a second patch from the second image; an iteration module for generating an iteration map from the first patch of the first image and the second patch of the second image; and a position module for generating a final depth map from the iteration map and for determining a focus position from the final depth map.

Abstract: An apparatus for decoding an image including: an entropy decoder which obtains information that indicates an intra prediction mode applied to a current block to be decoded, from a bitstream; and an intra prediction performer which performs intra prediction on the current block according to the intra prediction mode indicated by the extracted information.

Abstract: A method for estimating an effective luminance pattern representing a distribution of projected light in a display apparatus involves determining driving values for one or more light sources arranged to project light. The light sources are solid-state light sources such as light-emitting diodes in some embodiments. The method determines an effective luminance pattern for the projected light by determining contributions to the effective luminance pattern for different components of a point spread function and then combining the contributions of the components the effective luminance pattern to yield an estimated effective luminance pattern.

Abstract: 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.