Abstract: Processing circuitry receives coded information indicative of applying cross-component sample offset (CCSO) with adaptive bands. The processing circuitry determines at least a first band width for a first band and a second band width for a second band. The processing circuitry determines at least a first offset associated with the first band and a second offset associated with the second band, and categorizes reconstructed samples of a first color component into at least the first band and the second band. The first band includes first reconstructed samples and the second band includes second reconstructed samples. The processing circuitry applies the first offset to first reconstructed samples of a second color component that are collocated with the first reconstructed samples of the first color component, and the second offset to second reconstructed samples of the second color component that are collocated with the second reconstructed samples of the first color component.

Abstract: Techniques are described for decoding video data. A video decoder may determine chroma blocks in a chroma quantization group (QG) of the video data, determine a quantization parameter predictor that is the same for each of the chroma blocks of the chroma QG, determine an offset value that is the same for two or more of the chroma blocks of the chroma QG, determine a quantization parameter value for each of the two or more of the chroma blocks in the chroma QG based on the quantization parameter predictor and the offset value inverse quantize coefficients of one or more residual blocks for the chroma blocks based on the determined quantization parameter value, generate the one or more residual blocks based on the inverse quantized coefficients, and reconstruct the chroma blocks based on the one or more residual blocks.

Abstract: The present disclosure provides a loop filtering method which includes determining a clip index parameter of a loop filter, and encoding the clip index parameter by using a non-exponential Golomb encoding method.

Abstract: A method of filtering an image is disclosed, the method comprising: receiving filter coefficients and first component sample values corresponding to samples surrounding a reference sample, and inputting said filter coefficients and first component sample values into a cross component filter to produce a cross component filter output; wherein said cross-component filter uses a restricted number of bits to represent said filter coefficients and/or first component sample values to produce said filter output.

Abstract: Methods and devices for intra-prediction of a current block in video encoding or decoding are provided. A method includes: performing intra-prediction processing of the current block according to a directional intra-prediction mode, including applying reference sample filtering or subpixel interpolation filtering to reference samples in one or more reference blocks, wherein the directional intra-prediction mode is classified into one of the following groups: (A) vertical or horizontal modes, (B) directional modes including diagonal modes that represent angles which are multiples of 45 degrees, (C) remaining directional modes; if the directional intra-prediction mode is classified as belonging to group B, a reference sample filter is applied to the reference samples; if the directional intra-prediction mode is classified as belonging to group C, an intra reference sample interpolation filter is applied to the reference samples.

Abstract: A coding apparatus is a coding apparatus for coding an original image and includes: a division section that divides the original image into blocks that are a plurality of areas to acquire the plurality of blocks; a determination section that, for each of the blocks, determines whether or not to determine the block as an interpolation target; and a substitution section that substitutes a value of a pixel included in the block determined as the interpolation target, with a value that decreases a code amount of the block determined as the interpolation target. The determination section determines whether or not to determine the area that is a target of the determination as an area that is the interpolation target, using an evaluation based on an accuracy of prediction of an image of the block by intra prediction or inter prediction and a degree of the area that is the interpolation target being a generated one.

Abstract: A device may be configured to signal neural network post-filter parameter information. In one example, a device signals a neural network post-filter characteristics message including a syntax element specifying a number of interpolated pictures generated by a post-processing filter between consecutive pictures used as input for the post-processing filter. In one example, a neural network post-filter characteristics message includes a syntax element specifying a number of decoded output pictures used as input for the post-processing filter.

Abstract: The present technology relates to an image processing device and an image processing method which allow a deblocking filtering process to apply filtering appropriately. A pixel (p0i) of which the value is 255 (solid line) before a deblocking process changes greatly to 159 (dot line) after a conventional deblocking process. Therefore, a clipping process having a clipping value of 10 is performed in strong filtering, whereby the pixel (p0i) of which the value is 255 (solid line) before the deblocking process becomes 245 (bold line). Thus, a change in the pixel value occurring in the conventional technique can be suppressed as much as possible. This disclosure can be applied to an image processing device, for example.

Abstract: A method of decoding may comprise: receiving a bitstream comprising compressed video/image data; parsing or deriving, from the bitstream, an output layer set mode indicator in a video parameter set (VPS); identifying output layer set signaling based on the output layer set mode indicator; identifying one or more picture output layers based on the identified output layer set signaling; and decoding the identified one or more picture output layers.

Abstract: Aspects of the disclosure provide methods and apparatuses for video encoding/decoding. In some examples, an apparatus for filtering in video decoding includes processing circuitry. For example, the processing circuitry determines first reconstructed sample values of reconstructed samples of a first color component within a filter support region of a to-be filtered sample of a second color component. The to-be filtered sample is at a center position of the filter support region. Based on a mapping that associates offset values with reconstructed sample values within the filter support region, a first offset value of the offset values in the mapping that is associated with the first reconstructed sample values is determined. The first offset value is applied on the second color component for the to-be filtered sample to determine a filtered sample value of the second color component for the to-be filtered sample.

Abstract: An image encoding/decoding method and apparatus for performing intra prediction mode based intra prediction are provided. An image decoding method may comprise decoding an intra prediction mode of a current block, deriving at least one intra prediction mode from the decoded intra prediction mode of the current block, generating two or more intra prediction blocks using the intra prediction mode of the current block and the derived intra prediction mode, and generating an intra prediction block of the current block based on the two or more intra prediction blocks.

Abstract: An example apparatus for enhancing video includes a decoder to decode a received 360-degree projection format video bitstream to generate a decoded 360-degree projection format video. The apparatus also includes a viewport generator to generate a viewport from the decoded 360-degree projection format video. The apparatus further includes a convolutional neural network (CNN)-based filter to remove an artifact from the viewport to generate an enhanced image. The apparatus further includes a displayer to send the enhanced image to a display.

Abstract: The present technology relates to an image processing device and an image processing method which allow a deblocking filtering process to apply filtering appropriately. A pixel (p01) of which the value is 255 (solid line) before a deblocking process changes greatly to 159 (dot line) after a conventional deblocking process. Therefore, a clipping process having a clipping value of 10 is performed in strong filtering, whereby the pixel (p01) of which the value is 255 (solid line) before the deblocking process becomes 245 (bold line). Thus, a change in the pixel value occurring in the conventional technique can be suppressed as much as possible. This disclosure can be applied to an image processing device, for example.

Abstract: A device may be configured to decoding capability information according to one or more of the techniques described herein.

Abstract: An image encoding/decoding method and apparatus are provided. An image decoding method performed by an image decoding apparatus comprises decoding a first flag specifying whether in-loop filtering is able to be performed across a boundary of a subpicture from a bitstream and performing the in-loop filtering on a boundary of a current block, based on the first flag. Based on the boundary of the current block being a boundary of a current subpicture including the current block, the in-loop filtering on the boundary of the current block is not performed, based on the first flag for the current subpicture specifying that the in-loop filtering is not able to be performed across the boundary of the current subpicture or the first flag for an adjacent subpicture adjacent to the boundary of the current block specifying that the in-loop filtering is not able to be performed across the boundary of the adjacent subpicture.

Abstract: A device may be configured to determine that the neural network post-filter characteristics message provides a neural network update. In one example, a neural network post-filter characteristics message includes a syntax element having a value specifying that a post-processing filter associated with the message is a neural network identified by a specified tag Uniform Resource Identifier (URI) and neural network information URI. The neural network post-filter characteristics message further includes a syntax element having a value specifying that particular syntax elements are not present in the neural network post-filter characteristics message. Based on the values of the syntax elements it may be determined that the neural network post-filter characteristics message provides a neural network update.

Abstract: Provided are an image encoding/decoding method and device. The image decoding method performed by the image decoding device, according to the present disclosure, may comprise the steps of: determining a residual sample of a current block; and resetting the value of the residual sample on the basis of whether a color space transform is applied. The step for resetting the value of the residual block may be performed on the basis of a half value of a chroma residual sample value.

Abstract: A filtering method comprises: determining at least one block boundary to which filtering is to be applied in a reconstructed image; setting a boundary strength of the block boundary based on prediction modes of two target luma blocks forming the block boundary among a plurality of prediction modes, a type of the block boundary and preset conditions; calculating an average value of quantization parameters which are respectively applied to the target luma blocks, and deriving a variable by adding the average value to an offset value derived based on offset information to be encoded at a level of a sequence parameter set that is a header which is referenced in common by the pictures belonging to the sequence; and determining whether to perform the filtering on the block boundary and performing the filtering based on the set boundary strength and the variable.

Abstract: A filtering method comprises: determining at least one block boundary to which filtering is to be applied in a reconstructed image; setting a boundary strength of the block boundary based on prediction modes of two target luma blocks forming the block boundary among a plurality of prediction modes, a type of the block boundary and preset conditions; calculating an average value of quantization parameters which are respectively applied to the target luma blocks, and deriving a variable by adding the average value to an offset value derived based on offset information to be encoded at a level of a sequence parameter set that is a header which is referenced in common by the pictures belonging to the sequence; and determining whether to perform the filtering on the block boundary and performing the filtering based on the set boundary strength and the variable.

Abstract: A filtering method comprises: determining at least one block boundary to which filtering is to be applied in a reconstructed image; setting a boundary strength of the block boundary based on prediction modes of two target luma blocks forming the block boundary among a plurality of prediction modes, a type of the block boundary and preset conditions; calculating an average value of quantization parameters which are respectively applied to the target luma blocks, and deriving a variable by adding the average value to an offset value derived based on offset information to be encoded at a level of a sequence parameter set that is a header which is referenced in common by the pictures belonging to the sequence; and determining whether to perform the filtering on the block boundary and performing the filtering based on the set boundary strength and the variable.

Abstract: The present technology relates to an image processing device and an image processing method enabling the image quality to be improved. A color difference offset parameter set used when applying a deblocking filter to a color difference component of a decoded image obtained by decoding a bitstream is set. The image is encoded to generate a bitstream including the color difference offset parameter set. The bitstream is decoded to generate a decoded image. A deblocking filter is applied to the color difference component of the pixels near a block boundary of the decoded image using the color difference offset parameter set. The present technology can be applied when encoding and decoding an image.

Abstract: The present disclosure provides systems and methods for processing video content. The method can include: receiving data representing a first block and a second block in a picture, the data comprising a plurality of chroma samples associated with the first block and a plurality of luma samples associated with the second block; determining an average value of the plurality of luma samples associated with the second block; determining a chroma scaling factor for the first block based on the average value; and processing the plurality of chroma samples associated with the first block using the chroma scaling factor.

Abstract: A filtering method comprises: determining at least one block boundary to which filtering is to be applied in a reconstructed image; setting a boundary strength of the block boundary based on prediction modes of two target luma blocks forming the block boundary among a plurality of prediction modes, a type of the block boundary and preset conditions; calculating an average value of quantization parameters which are respectively applied to the target luma blocks, and deriving a variable by adding the average value to an offset value derived based on offset information to be encoded at a level of a sequence parameter set that is a header which is referenced in common by the pictures belonging to the sequence; and determining whether to perform the filtering on the block boundary and performing the filtering based on the set boundary strength and the variable.

Abstract: The present disclosure relates to the field of picture processing. In particular, the present disclosure relates to improving intra prediction (such as the chroma intra prediction) using a cross component linear model (CCLM) and, more particularly, relating to spatial filtering used in a cross-component linear model for intra prediction with different chroma formats. An apparatus, an encoder, a decoder and corresponding methods for cross-component prediction for a picture, in which the set of down-sampling filters applied during the prediction depends on a chroma format, that may be one of multiple supported chroma formats are provided, so as to improve coding efficiency.

Abstract: A video coding system uses a value of a chroma quantization parameter table to quantize or de-quantize chroma values of a block of the video, the chroma quantization parameter table being directly coded in a set of parameters at the picture level or at the sequence level of the coded video stream. A corresponding encoding method, encoding device, decoding method, decoding device, video signal, computer program and non-transitory readable medium are proposed.

Abstract: Provided are an artifact removal method and apparatus based on machine learning (ML), and a method and apparatus for training an artifact removal model based on ML, in the field of artificial intelligence (AI). In the method, artifacts that may be generated in a process of compressing a video is preprocessed and removed by using an artifact removal model having a residual learning capability.

Abstract: A method of video coding, wherein the method comprises inter-prediction processing of a first block, wherein the inter-prediction processing comprises subpixel interpolation filtering of samples of a reference block; intra-prediction processing of a second block, wherein the intra-prediction processing comprises subpixel interpolation filtering of reference samples; wherein the method further comprises selecting interpolation filter coefficients for the subpixel interpolation filtering based on a subpixel offset between integer reference sample positions and fractional reference samples' positions, wherein for the same subpixel offsets the same interpolation filter coefficients are selected for intra-prediction processing and inter-prediction processing.

Abstract: According to the disclosure of the present document, an image decoding method performed by a decoding device comprises the steps of: acquiring, through a bitstream, image information including prediction mode information and residual information; deriving a prediction mode of a current block on the basis of the prediction mode information; deriving prediction samples on the basis of the prediction mode; deriving residual samples on the basis of the residual information; generating reconstruction samples on the basis of the prediction samples and the residual samples; deriving filter coefficients for an adaptive loop filter (ALF) procedure for the reconstruction samples; and generating modified reconstruction samples on the basis of the reconstruction samples and the filter coefficients, wherein the image information includes a first adaptation parameter set (APS) including an ALF data field, and the ALF data field includes ALF parameters used to derive the filter coefficients.

Abstract: An image decoding device (31) includes a transform coefficient decoding unit (311) configured to decode a transform coefficient for a transform tree included in a coding unit. In the transform tree, the transform coefficient decoding unit splits a transform unit corresponding to luminance and then decodes the transform coefficient related to the luminance, and does not split the transform unit corresponding to chrominance and decodes the transform coefficient related to the chrominance.

Abstract: In various embodiments, a tunable VMAF application reduces an amount of influence that image enhancement operations have on perceptual video quality estimates. In operation, the tunable VMAF application computes a first value for a first visual quality metric based on reconstructed video content and a first enhancement gain limit. The tunable VMAF application computes a second value for a second visual quality metric based on the reconstructed video content and a second enhancement gain limit. Subsequently, the tunable VMAF application generates a feature value vector based on the first value for the first visual quality metric and the second value for the second visual quality metric. The tunable VMAF application executes a VMAF model based on the feature value vector to generate a tuned VMAF score that accounts, at least in part, for at least one image enhancement operation used to generate the reconstructed video content.

Abstract: A method includes receiving a bit stream; determining, using the bit stream, whether an adaptive resolution management mode is enabled; determining, using the bit stream, a scaling factor including a vertical scaling constant component and a horizontal scaling constant component; and reconstructing pixel data of a current block in adaptive resolution management mode and using the determined scaling factor, the reconstructing including scaling the current block horizontally by the horizontal scaling constant component and scaling the current block vertically by the vertical scaling constant component. Related apparatus, systems, techniques and articles are also described.

Abstract: Disclosed here are methods, systems, and devices for measuring visual quality degradation of digital content caused by an encoding process. There is received first data for a digital content item, which is not encoded by the encoding process, and second data for the digital content item, which is encoded by the encoding process. For a given artefact type, the first data and the second data are processed to obtain a first quality metric measuring visual quality degradation in the digital content item attributable to the given artefact type caused by the encoding process. A stored mapping corresponding to the given artefact type is applied to the first quality metric to obtain a second quality metric which measures visual quality degradation in the digital content item attributable to the given artefact type caused by the encoding process and approximates subjective assessment of the digital content item by a human visual system.

Abstract: This disclosure relates to cross component methods for refining decoded transform coefficients before or after dequantization in video decoding. For example, a method for video decoding is disclosed. The method may include, comprising extracting a first transform coefficient of a first color component from a bitstream of a coded video; extracting a second transform coefficient of a second color component from the bitstream of the coded video; deriving an offset value based on a magnitude or sign value of the first transform coefficient; adding the offset value to a magnitude of the second transform coefficient to generate a modified second transform coefficient for the second color component; and reconstructing the coded video based on at least the first transform coefficient of the first color component and the modified second transform coefficient of the second color component.

Abstract: An encoder includes circuitry and memory coupled to the circuitry. In operation, the circuitry: derives a motion vector of a current block by referring to at least one reference picture different from a picture to which the current block belongs; performs a mode for estimating, for each sub-block unit of sub-blocks obtained by splitting the current block, a surrounding region of the motion vector to correct the motion vector; determines whether to apply deblocking filtering to each of boundaries between neighboring ones of the sub-blocks; and applies the deblocking filtering to the boundary, based on a result of the determination.

Abstract: A method for inverse quantization of a current block of a picture is performed by a decoder, and the picture comprises a luminance component and a chrominance component, wherein the luminance component and the chrominance component are partitioned into multiple blocks. The method includes: obtaining one or more existing quantization parameter (QP) values from a received bitstream, wherein the one or more existing QP values relate to a current block in the chrominance component; determining a QP value for the current block in the chrominance component based on the one or more existing QP values; and performing inverse quantization on the current block in the chrominance component by using the determined QP value.

Abstract: The present technology relates to an image processing device and an image processing method which allow a deblocking filtering process to apply filtering appropriately. A pixel (p0i) of which the value is 255 (solid line) before a deblocking process changes greatly to 159 (dot line) after a conventional deblocking process. Therefore, a clipping process having a clipping value of 10 is performed in strong filtering, whereby the pixel (p0i) of which the value is 255 (solid line) before the deblocking process becomes 245 (bold line). Thus, a change in the pixel value occurring in the conventional technique can be suppressed as much as possible. This disclosure can be applied to an image processing device, for example.

Abstract: Aspects of the disclosure provide methods and apparatuses for video encoding/decoding. In some examples, an apparatus for video decoding includes processing circuitry. For example, the processing circuitry generates first reconstructed samples of a block, and applies a filter to multiple color components of the first reconstructed samples of the block to determine offsets to be applied to one or more color components. Then, the processing circuitry generates second reconstructed samples of the block based on the offsets for the one or more color components and the first reconstructed samples of the block.

Abstract: A filter for video coding is provided, where the filter is configured for processing a block for generation of a filtered block, and the block comprises a plurality of pixels. The filter includes one or more processor configured to: obtain a quantization parameter (QP) of the block; obtain a threshold (THR) based on the QP; and obtain a look up table based on QP, so as to generate a filtered block based on the threshold and the look up table. The filter is provided allowing improving the efficiency for video coding.

Abstract: A method, computer program, and computer system is provided for video coding. Video data comprising a chroma component and a luma component is received. Luma samples are extracted from the luma component of the received video data. The chroma component is filtered based on the extracted luma samples using a cross-component adaptive loop filter (CC-ALF). Coefficients associated with the CC-ALF are constrained to be less than a sum of a bit-depth value associated with the luma samples and a positive offset value.

Abstract: According to a disclosure of the present document, information associated with a deblocking filter for performing deblocking filtering may include chroma component filter parameter information associated with deblocking parameter offsets that are applied to a chroma component. The chroma component filter parameter information may be selectively signaled on the basis of a chroma tool offset presence flag. Therefore, an effect of increasing overall coding efficiency may be derived by signaling chroma component filter parameter information only in the case of not a monochrome color format.

Abstract: A video decoder can be configured to apply a first stage adaptive loop filter (ALF) to a reconstructed sample by determining a first class index for the reconstructed sample, selecting a filter from a first set of filters based on the first class index, and applying the filter from the first set of filters to the reconstructed sample to determine a first intermediate sample value; apply a second stage ALF to the reconstructed sample by determining a second class index for the reconstructed sample; select a second filter from a second set of filters based on the second class index, applying the second filter to the reconstructed sample to determine a first sample modification value, and determining a second sample modification value based on the first intermediate sample value; and determine a filtered reconstructed sample based on the reconstructed sample and the first and second sample modification values.

Abstract: A method and apparatus for processing a video signal according to the present invention derives a first prediction value of a chrominance block using a sample of a luminance block, calculates a compensation parameter based on a predetermined reference area, derives a second prediction value of a chrominance block, and reconstructs a chrominance block based on a second prediction value of a chrominance block.

Abstract: The present disclosure provides systems and methods for processing video content. The method can include: receiving data representing a first block and a second block in a picture, the data comprising a plurality of chroma samples associated with the first block and a plurality of luma samples associated with the second block; determining an average value of the plurality of luma samples associated with the second block; determining a chroma scaling factor for the first block based on the average value; and processing the plurality of chroma samples associated with the first block using the chroma scaling factor.

Abstract: An image decoding device (31) includes a transform coefficient decoding unit (311) configured to decode a transform coefficient for a transform tree included in a coding unit. In the transform tree, the transform coefficient decoding unit splits a transform unit corresponding to luminance and then decodes the transform coefficient related to the luminance, and does not split the transform unit corresponding to chrominance and decodes the transform coefficient related to the chrominance.

Abstract: A method of decoding may comprise: receiving a bitstream comprising compressed video/image data; parsing or deriving, from the bitstream, an output layer set mode indicator in a video parameter set (VPS); identifying output layer set signaling based on the output layer set mode indicator; identifying one or more picture output layers based on the identified output layer set signaling; and decoding the identified one or more picture output layers.

Abstract: Apparatus and method for non-local means filtering using a media processing block of a graphics processor. For example, one embodiment of a processor comprises: ray tracing circuitry to execute a first set of one or more commands to traverse rays through a bounding volume hierarchy (BVH) to identify BVH nodes and/or primitives intersected by the ray; shader execution circuitry to execute one or more shaders responsive to a second set of one or more commands to render a sequence of image frames based on the BVH nodes and/or primitives intersected by the ray; and a media processor comprising motion estimation circuitry to execute a third set of one or more commands to perform non-local means filtering to remove noise from the sequence of image frames based on a mean pixel value collected across the sequence of image frames.

Abstract: An example method of video processing includes determining, for a conversion between a current block of a video and a bitstream representation of the video, that one or more samples of the video outside the current block are unavailable for a coding process of the conversion. The coding process comprises an adaptive loop filter (ALF) coding process. The method also includes performing, based on the determining, the conversion by using padded samples for the one or more samples of the video. The padded samples are generated by checking for availability of samples in an order.

Abstract: Aspects of the disclosure include methods, apparatuses, and non-transitory computer-readable storage mediums for video encoding/decoding. An apparatus includes processing circuitry that determines an offset of a quantization parameter for a chroma component of a coding region based on one of (i) a pixel value range of the chroma component, (ii) a complexity level of the chroma component, or (iii) a noise level of the chroma component. The processing circuitry performs a quantization process on a transform coefficient of the coding region based on the quantization parameter and the determined offset. The processing circuitry generates a video bitstream that includes the quantized transform coefficient.

Abstract: The present technology relates to an image processing device and an image processing method which allow a deblocking filtering process to apply filtering appropriately. A pixel (p0i) of which the value is 255 (solid line) before a deblocking process changes greatly to 159 (dot line) after a conventional deblocking process. Therefore, a clipping process having a clipping value of 10 is performed in strong filtering, whereby the pixel (p0i) of which the value is 255 (solid line) before the deblocking process becomes 245 (bold line). THUS, a change in the pixel value occurring in the conventional technique can be suppressed as much as possible. This disclosure can be applied to an image processing device, for example.

Abstract: Provided are an image encoding/decoding method and device. The image decoding method performed by the image decoding device, according to the present disclosure, may comprise the steps of: determining a residual sample of a current block; and resetting the value of the residual sample on the basis of whether a color space transform is applied. The step for resetting the value of the residual block may be performed on the basis of a half value of a chroma residual sample value.