Transform unit partition method for video coding

    公开(公告)号:US12081807B2

    公开(公告)日:2024-09-03

    申请号:US17482006

    申请日:2021-09-22

    CPC classification number: H04N19/96 H04N19/122 H04N19/14 H04N19/184 H04N19/70

    Abstract: A method of decoding includes partitioning a rectangular transform tree node (TTN) using either a vertical binary tree split or a horizontal binary tree split to generate square child TTNs when a maximum transform unit (TU) size for the TTN is smaller than either dimension of the TTN. The method further includes partitioning the child TTNs using a quadtree split to generate transform units (TUs) when the first child TTN dimension and the second child TTN dimension are larger than the maximum TU size, determining that the child TTNs are TUs when the first child TTN dimension and the second child TTN dimension are less than or equal to the maximum TU size, applying the TUs to transform coefficients to generate residuals, and generating a reconstructed block based on the residuals.

    IMAGE PROCESSING METHOD, TRAINING METHOD, AND APPARATUS

    公开(公告)号:US20240029406A1

    公开(公告)日:2024-01-25

    申请号:US18481096

    申请日:2023-10-04

    Abstract: An image processing method includes: obtains a to-be-processed image, performs feature extraction on the to-be-processed image by using a feature extraction layer included in a convolutional neural network, to obtain a first feature map, and compresses the first feature map by using a feature compression layer included in the convolutional neural network, to obtain a second feature map, where a channel quantity of the second feature map is less than a channel quantity of the first feature map; and the sending node sends the second feature map to a receiving node. The first feature map of the to-be-processed image is obtained through extraction by using the feature extraction layer, and the first feature map is compressed by using the feature compression layer, to obtain the second feature map.

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