Abstract: Cross-plane filtering may be used to restore blurred edges and/or textures in one or both chroma planes using information from a corresponding luma plane. Adaptive cross-plane filters may be implemented. Cross-plane filter coefficients may be quantized and/or signaled such that overhead in a bitstream minimizes performance degradation. Cross-plane filtering may be applied to select regions of a video image (e.g., to edge areas). Cross-plane filters may be implemented in single-layer video coding systems and/or multi-layer video coding systems.

Abstract: A method for encoding a picture of a video sequence in a bit stream that reduces slice header parsing overhead is provided. The method includes determining weighting factors that may be used for weighted prediction in encoding at least one slice of the picture, wherein a total number of the weighting factors is constrained to not exceed a predetermined threshold number of weighting factors, wherein the threshold number is less than a maximum possible number of weighting factors, and signaling weighted prediction parameters including the weighting factors in a slice header in the bit stream.

Abstract: At least some embodiments of the present disclosure directs to a method for processing an input image having an embedded element, comprising the steps of: computing one or more histograms of the input image; identifying a range of interest in one of the one or more histograms; and determining, by the processor, a threshold based on the range of interest. In some embodiments, a computing device processes the input image using the threshold to generate an output image.

Abstract: According to one implementation, a system includes a computing platform having a hardware processor and a system memory storing a software code including a trained neural network (NN). The hardware processor executes the software code to receive an input image including a pixel anomaly, identify, using the trained NN, one or more salient regions of the input image, and determine whether the pixel anomaly is located inside any of the one or more salient regions. The hardware processor further executes the software code to assign a first priority to the pixel anomaly when it is determined that the pixel anomaly is located inside any of the one or more salient regions, and to assign a second priority, lower than the first priority, to the pixel anomaly when it is determined that the pixel anomaly is not located inside any of the one or more salient regions.

Abstract: An apparatus for acquiring images includes an image sensor and a signal processor. The image sensor may include a sensor substrate and a color separation lens array, wherein the sensor substrate includes a plurality of photo-sensing cells, and the color separation lens array may separate an incident light into a plurality of lights having different wavelengths and forms a phase distribution for condensing the plurality of lights having the different wavelengths on adjacent photo-sensing cells of the plurality of photo-sensing cells. The signal processor may perform deconvolution on sensing signals of the plurality of photo-sensing cells to obtain a sub-sampled image, perform demosaicing to restore a full resolution image having a full resolution from the sub-sampled image, and correct a color of the full resolution image using a point spread function (PSF) of the color separation lens array.

Abstract: An image coding method includes: performing context arithmetic coding to consecutively code (i) first information indicating whether or not to perform sample adaptive offset (SAO) processing for a first region of an image and (ii) second information indicating whether or not to use, in the SAO processing for the first region, information on SAO processing for a region other than the first region, the context arithmetic coding being arithmetic coding using a variable probability, the SAO processing being offset processing on a pixel value; and performing bypass arithmetic coding to code other information which is information on the SAO processing for the first region and different from the first information or the second information, after the first information and the second information are coded, the bypass arithmetic coding being arithmetic coding using a fixed probability.

Abstract: A pixel array is provided. The pixel array includes: a plurality of color filter array (CFA) cells. Each of the plurality of CFA cells includes a plurality of CFA blocks provided along a width direction and a length direction. Each of the plurality of CFA blocks includes a first sub block and a second sub block. The first sub block includes m*n pixels having an interpolation distance of 0 during conversion into a Bayer pattern. The second sub block includes at least one pixel having the interpolation distance of 0 during conversion into the Bayer pattern among pixels outside the first sub block, where “m” and “n” are integers of at least 2. The m*n pixels of the first sub block include pixels corresponding to a first color, a second color and a third color. Respective second sub blocks of the plurality of CFA blocks form an inter-sub block in each of the plurality of CFA cells.

Abstract: A head-mounted display device including one or more position sensors and a processor. The processor may receive a rendered image of a current frame. The processor may receive position data from the one or more position sensors and determine an updated device pose based on the position data. The processor may apply a first spatial correction to color information in pixels of the rendered image at least in part by reprojecting the rendered image based on the updated device pose. The head-mounted display device may further include a display configured to apply a second spatial correction to the color information in the pixels of the rendered image at least in part by applying wobulation to the reprojected rendered image to thereby generate a sequence of wobulated pixel subframes for the current frame. The display may display the current frame by displaying the sequence of wobulated pixel subframes.

Abstract: According to one implementation, a system for performing automated salience assessment of pixel anomalies includes a computing platform having a hardware processor and a system memory storing a software code. The hardware processor is configured to execute the software code to analyze an image for a presence of a pixel anomaly in the image, obtain a salience criteria for the image when the analysis of the image detects the presence of the pixel anomaly, and classify the pixel anomaly as one of a salient anomaly or an innocuous anomaly based on the salience criteria for the image. The hardware processor is further configured to execute the software code to disregard the pixel anomaly when the pixel anomaly is classified as an innocuous anomaly, and to flag the pixel anomaly when the pixel anomaly is classified as a salient anomaly.

Abstract: An electronic device may include wireless circuitry with a baseband processor, a transceiver, a front-end module, and an antenna. The transceiver may include mixer circuitry. The mixer circuitry may include switches controlled by oscillator signals. The mixer circuitry may also include oscillator phase noise cancelling capacitors controlled by inverted oscillator signals. Operated in this way, the mixer circuitry exhibits improved noise figure performance.

Abstract: Techniques related to performing skin detection in an image are discussed. Such techniques may include generating skin and non-skin models based on a skin dominant region and another region, respectively, of the image and classifying individual pixels of the image via a discriminative skin likelihood function based on the skin model and the non-skin model.

Abstract: There are provided an apparatus and a method for estimating edge areas of pixels in a digital image to thereby prevent an edge sharpening algorithm from being applied to non-edge area of the digital image. Therefore, the apparatus can accurately determine whether each pixel is in an edge area or in a non-edge area, by generating a binary mask obtained by using a luminance difference average between each pixel and each of neighboring pixels in the digital image. Moreover, the determination of an edge-area or a non-edge area may be applied to various digital images, by adjusting a level of edge-area determination.

Abstract: A computerized device for converting a color image data, indicative of a plurality of color image regions defining a two-dimensional color image, into a grayscale image data indicative of a plurality of grayscale image regions defining a two-dimensional grayscale image, with each of the color image regions corresponding to one of the grayscale image regions. A luminance information and a two-dimensional chromatic information is associated with each of the color image regions. The device includes a processor and a memory store. The memory store is adapted to store a program executable by the processor so as to perform the following steps: determining a principal chromatic component of each of the color image regions; determining a first correlation value; and generating the grayscale image data by reference to the first correlation value.

Abstract: In a liquid crystal display device, a field sequential liquid crystal display device includes a liquid crystal panel having an upper substrate, a lower substrate and a liquid crystal layer therebetween; a backlight device under the liquid crystal panel for irradiating light to the liquid crystal panel and having three color light sources; and an image signal processor controlling a sequential lighting order and combination of the three color light sources.