CONTEXT CODING FOR INFORMATION ON TRANSFORM KERNEL SET IN IMAGE CODING SYSTEM

    公开(公告)号:US20230209061A1

    公开(公告)日:2023-06-29

    申请号:US18117774

    申请日:2023-03-06

    CPC classification number: H04N19/132 H04N19/13 H04N19/176 H04N19/18

    Abstract: An image decoding method, according to the present document, comprises a step of generating residual samples for a current block on the basis of residual information, wherein the residual samples are generated on the basis of information on a transform kernel set and transform coefficients for the current block, the transform coefficients are derived on the basis of the residual information, and the information on the transform kernel set represents a transform kernel set to be applied to the current block from among transform kernel set candidates. At least one bin from among bins of a bin string of the information on the transform kernel set is derived on the basis of context coding, and the context coding is performed on the basis of at least one context model.

    CODING OF INFORMATION ABOUT TRANSFORM KERNEL SET

    公开(公告)号:US20230134294A1

    公开(公告)日:2023-05-04

    申请号:US18092828

    申请日:2023-01-03

    Abstract: An image decoding method includes: acquiring a multiple transform selection (MTS) index and residual information from a bitstream; deriving transform coefficients for the current block on the basis of the residual information; and generating residual samples of the current block on the basis of the MTS index and the transform coefficients, wherein the MTS index indicates a transform kernel set to be applied to the current block among transform kernel set candidates, at least one bin among bins of a bin string of the MTS index is derived on the basis of context coding, the context coding is performed on the basis of values of increase and decrease in a context index pertaining to the MTS index, and a single value of increase and decrease in the context index can be used for the context coding of the first bin among the bins of the bin string.

    SIGNALING OF INFORMATION INDICATING TRANSFORM KERNEL SET IN IMAGE CODING

    公开(公告)号:US20230059802A1

    公开(公告)日:2023-02-23

    申请号:US17967106

    申请日:2022-10-17

    Abstract: An image decoding method according to the present document comprises a step of generating residual samples of a current block on the basis of residual information, wherein the residual information comprises a multiple transform selection (MTS) index and information regarding transform coefficients, the residual samples are generated from transform coefficients according to the information regarding the transform coefficients by using a transform kernel set, the transform kernel set is determined by the MTS index from among transform kernel set candidates, at least one of bins of a bin string of the MTS index is derived on the basis of context coding, the context coding is performed based on a value of a context index with respect to the MTS index.

    TRANSFORM IN INTRA PREDICTION-BASED IMAGE CODING

    公开(公告)号:US20230054265A1

    公开(公告)日:2023-02-23

    申请号:US17970027

    申请日:2022-10-20

    Abstract: An image decoding method according to the present document comprises the steps of: acquiring prediction-related information and residual-related information for a current block; deriving transform coefficients for the current block on the basis of the residual-related information; and generating residual samples of the current block on the basis of the transform coefficients, wherein the residual-related information includes low-frequency non-separable transform (LFNST) index information indicating information relating to non-separable transform for a low-frequency transform coefficient of the current block on the basis of a matrix-based intra prediction (MIP) flag.

    IMAGE DECODING METHOD FOR RESIDUAL CODING, AND DEVICE THEREFOR

    公开(公告)号:US20230042089A1

    公开(公告)日:2023-02-09

    申请号:US17957986

    申请日:2022-09-30

    Abstract: An image decoding method carried out by a decoding device, according to the present document, comprises the steps of: acquiring a sign data hiding enable flag; acquiring a transform skip residual coding (TSRC) enable flag on the basis of the sign data hiding enable flag; acquiring residual information for a current block, on the basis of the TSRC enable flag; deriving a residual sample of the current block, on the basis of the residual information; and generating a reconstructed picture on the basis of the residual sample, wherein the sign data hiding enable flag is a flag indicating whether sign data hiding is enabled, the TSRC enable flag is a flag indicating whether TSRC is enabled, and the TSRC enable flag is acquired on the basis of the sign data hiding enable flag having a value of zero.

    BDOF-BASED INTER PREDICTION METHOD AND DEVICE

    公开(公告)号:US20230028629A1

    公开(公告)日:2023-01-26

    申请号:US17943537

    申请日:2022-09-13

    Abstract: An image decoding method includes: deriving an L0 motion vector and a L1 motion vector of the current block; deriving prediction samples of the current block based on the L0 motion vector and the L1 motion vector; and generating reconstructed samples of the current block based on the prediction samples. Deriving the prediction samples includes applying bi-directional optical flow (BDOF) to the current block based on whether the condition for applying BDOF to the current block is satisfied, and the application condition of the BDOF includes a condition whereby the values of L0 luma weighted prediction flag information and L1 luma weighted prediction flag information are both zero, where the a value of each of the L0 luma weighted prediction flag information and L1 luma weighted prediction flag information being 0 represents that a weight factor for each of a L0 and L1 prediction luma components does not exist, respectively.

    DMVR-BASED INTER-PREDICTION METHOD AND DEVICE

    公开(公告)号:US20230007296A1

    公开(公告)日:2023-01-05

    申请号:US17894735

    申请日:2022-08-24

    Abstract: An image decoding method includes: acquiring, from a bitstream, luma weight L0 flag information indicating whether there is an L0 prediction-related weight factor and luma weight L1 flag information indicating whether there is an L1 prediction-related weight factor; determining to apply decoder-side motion vector refinement (DMVR) to an L0 motion vector and L1 motion vector for a current block, when the luma weight L0 flag information and the luma weight L1 flag information are both zero; when it has been determined to apply DMVR, deriving a refined L0 motion vector and a refined L1 motion vector by applying the DMVR to the current block; deriving prediction samples for the current block on the basis of L0 prediction using the refined L0 motion vector and L1 prediction using the refined L1 motion vector; and generating reconstruction samples for the current block on the basis of the prediction samples.

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