Abstract:
The video signal decoding method according to the present invention involves acquiring weighting-value predicting data of a neighboring view texture block corresponding to the current view texture block, deriving weighting-value predicting data of the current view texture block by using the weighting-value predicting data of the neighboring view texture block, and subjecting the current view texture block to weighting-value compensation by using the derived weighting-value predicting data.
Abstract:
According to the present invention, a method of processing a video signal includes the steps of: receiving the depth data corresponding to a given block containing present pixels; determining a variation of the depth data; comparing the variation of the depth data with a predetermined value; if the variation is less than the predetermined value, coding the present pixels by using a first partial filter, and if the variation is greater than the predetermined value, coding the present pixels by using a second partial filter; wherein the second partial filter is applied to a wider range than the first partial filter. Accordingly the image quality of improved; the complexity according to the filter application is reduced; and at the same time variable filtering may improve the coding efficiency.
Abstract:
The present invention encodes a warp map by using a video codec such as a multi-view texture image by a warp converter, and decodes a warp map by using a video codec such as a multi-view texture image by using a warp inverter. The present invention may incur less additional costs because it does not use a dedicated warp map coder. In addition, the present invention may convert a warp map by using a warp map converter and send the converted map to an encoder and invert decoded warp map information by using a warp map inverter so that the warp map is encoded and decoded by using a video codec such as a multi-view texture image. In addition, it is possible to increase compatibility by enabling various kinds of supplementary data to be used. In addition, it is possible to increase technique compatibility by simply applying a warp map scheme to a 3D video coding technique using a depth map.
Abstract:
A method for decoding an image by a decoding device according to the present invention comprises the steps of: deriving, from a bit stream, transform coefficients of a block to be decoded; deriving residual samples of the block to be decoded, on the basis of a selective transform of the transform coefficients; and generating a reconstructed picture on the basis of the residual samples of the block to be decoded and prediction samples of the block to be decoded, wherein the selective transform is performed on the basis of a modified transform matrix, the modified transform matrix comprises a matrix including a modified basis vector, and the modified basis vector contains a certain number of elements selected from N elements.
Abstract:
An image decoding method according to the present document comprises a step of deriving a corrected transform coefficient, wherein the step of deriving the corrected transform coefficient comprises the steps of: determining whether LFNST can be applied to the height and width of a divided sub-partition block when an ISP is applied to a current block; parsing a LFNST index when the LFNST can be applied; and deriving the corrected transform coefficient on the basis of the LFNST index and a LFNST matrix.
Abstract:
An image decoding method includes a step of deriving a modified transform coefficient, wherein the step of deriving the modified transform coefficient includes the steps of: deriving a first variable indicating whether the transform coefficient exists in an area excluding a DC location of the current block; parsing an LFNST index based on the derivation result; and deriving the modified transform coefficient based on the LFNST index and an LFNST matrix, and based on the fact that the current block is divided into a plurality of sub-partition blocks, the LFNST index can be parsed without deriving the first variable.
Abstract:
An image decoding method according to the present document may be characterized by including the steps of: determining whether to parse an MTS index for applying MTS to the current block; and applying the MTS to the current block on the basis of the MTS index to derive residual samples for the current block, wherein whether to parse the MTS index is determined on the basis of a flag value indicating whether a transform coefficient for a luma component of the current block is present, and the MTS index is not parsed when the flag value is 0.
Abstract:
An image decoding method according to the present specification comprises the steps of: deriving transform coefficients through inverse quantization on the basis of quantized transform coefficient for a target block; deriving modified transform coefficients on the basis of inverse reduced secondary transform (RST) of the transform coefficients; and generating a reconstructed picture on the basis of residual samples for the target block on the basis of an inverse primary transform of the modified transform coefficients, wherein the step of deriving the modified transform coefficients is characterized in deriving 16 modified transform coefficients by applying a transform kernel matrix to 8 transform coefficients in a 4×4 region of the target block.
Abstract:
An image decoding method according to the present document comprises the steps of: receiving image information including residual information for a current block; and generating residual samples of the current block on the basis of the residual information, wherein the residual information includes information on transform coefficients of the current block, and the residual samples are generated from the information on the transform coefficients on the basis of low-frequency non-separable transform (LFNST) index information.
Abstract:
An image decoding method, according to the present document, comprises the steps of: deriving residual samples by applying at least one among LFNST or MTS to a transform coefficient; and generating a reconstructed picture on the basis of the residual samples, wherein the LFNST is carried out on the basis of a LFNST index indicating a LFNST kernel, the MTS is carried out on the basis of a MTS index indicating a MTS kernel, the MTS index is parsed on the basis that the color index of the current block is a luma component, and the LFNST index may be parsed regardless of the color index of the current block.