Apparatus for performing image coding on basis of ATMVP candidate

    公开(公告)号:US11457234B2

    公开(公告)日:2022-09-27

    申请号:US17283926

    申请日:2019-10-08

    Abstract: A method for image decoding performed by a decoding apparatus according to the present disclosure comprises the steps of: deriving an ATMVP candidate for a current block; deriving merge candidates for the current block; deriving prediction samples for the current block on the basis of the merge candidates and the ATMVP candidate; and deriving reconstruction samples for the current block on the basis of the prediction samples, wherein the ATMVP candidate is a spatial neighboring block spatially adjacent to the current block.

    Transform-based image coding method and device therefor

    公开(公告)号:US11330261B2

    公开(公告)日:2022-05-10

    申请号:US17476190

    申请日:2021-09-15

    Abstract: An image decoding method according to the present document comprises a step for performing inverse first-order transform and inverse non-separable transform on a residual sample. The inverse non-separable transform is performed on the basis of a transform index indicating a predetermined transform kernel matrix, the inverse first-order transform is performed on the basis of a multiple transform selection (MTS) index indicating MTS for a horizontal transform kernel and a vertical transform kernel, and a syntax element bin string for the transform index is derived on the basis of first context information when a tree type for a split structure of a target block is not a single tree type and is derived on the basis of second context information when the tree type is the single tree type.

    DMVR and BDOF based inter prediction method and apparatus thereof

    公开(公告)号:US11140409B2

    公开(公告)日:2021-10-05

    申请号:US16861579

    申请日:2020-04-29

    Abstract: A video decoding method includes deriving an L0 motion vector and an L1 motion vector for a current block; deriving a refined L0 motion vector and a refined L1 motion vector, by applying DMVR to the current block based on DMVR flag information; deriving L0 prediction samples of the current block based on the refined L0 motion vector and L1 prediction samples of the current block based on the refined L1 motion vector; deriving prediction samples for the current block based on the L0 prediction samples and the L1 prediction samples, by applying BDOF to the current block based on BDOF flag information; and generating reconstruction samples for the current block based on the prediction samples, in which the DMVR flag information is derived based on a predetermined DMVR application condition, and the BDOF flag information is derived based on a predetermined BDOF application condition.

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