INTRA-PREDICTION METHOD, AND ENCODER AND DECODER USING SAME

    公开(公告)号:US20200228835A1

    公开(公告)日:2020-07-16

    申请号:US16835894

    申请日:2020-03-31

    Abstract: The present invention relates to an intra-prediction method and to an encoder and decoder using same. The intra-prediction method according to one embodiment of the present invention comprises the steps of deriving a prediction mode of a current block; and generating a prediction block with respect to the current block on the basis of the prediction mode of the current block. When the prediction mode of the current block is an intra-angular prediction mode, values of boundary samples from among left boundary samples and upper boundary samples of the prediction block, which are not positioned in a prediction direction of the intra-angular prediction mode, are derived on the basis of reference samples positioned in the prediction direction of the intra-angular prediction mode, and on the basis of adjacent reference samples.

    METHOD AND DEVICE FOR CHROMA SAMPLE INTRA PREDICTION IN VIDEO CODING SYSTEM

    公开(公告)号:US20180241995A1

    公开(公告)日:2018-08-23

    申请号:US15755037

    申请日:2016-08-25

    Abstract: An intra prediction method according to the present invention comprises the steps of: acquiring information on a luma prediction mode of a current block and information on a chroma prediction mode of the current block from a bit stream; deriving a luma intra prediction mode of the current block on the basis of the information on the luma prediction mode; determining a chroma intra prediction mode of the current block on the basis of information on the luma intra prediction mode and the information on the chroma prediction mode; and generating a chroma prediction sample of the current block on the basis of the chroma intra prediction mode. According to the present invention, it is possible to reflect the difference between the ratio of the width to the height of a luma component and the ratio of the width to the height of a chroma component, and thus to more accurately perform intra prediction in units of samples and improve intra prediction performance.

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