Point cloud attribute coding method, point cloud attribute decoding method, and terminal

A point cloud attribute decoding method, comprising:

• decoding a to-be-decoded code stream to obtain a to-be-decoded point cloud, wherein to-be-decoded points in the to-be-decoded point cloud are sorted in a preset coding order;
• partitioning the to-be-decoded point cloud into at least one to-be-decoded point cloud block based on the number of to-be-decoded points comprised in the to-be-decoded point cloud, volume information of a bounding box corresponding to the to-be-decoded point cloud, and an order of each to-be-decoded point;
• for each to-be-decoded point cloud block comprising at least two to-be-decoded points, partitioning the to-be-decoded point cloud block into M to-be-decoded point cloud groups based on the number of to-be-decoded points comprised in the to-be-decoded point cloud block and a preset maximum transform order, M being a positive integer;
• performing inverse quantization processing on a second transform coefficient corresponding to a third target to-be-decoded point cloud group, to obtain a target high-frequency coefficient and a target low-frequency coefficient;
• wherein the third target to-be-decoded point cloud group is at least part of the M to-be-decoded point cloud groups and the third target to-be-decoded point cloud group is a to-be-decoded point cloud group for which inverse quantization processing is performed;
• and
• performing inverse transform processing on the target high-frequency coefficient and the target low-frequency coefficient to obtain third residual information corresponding to the third target to-be-decoded point cloud group.

A terminal, comprising a processor, a memory, and a program or instructions stored in the memory and capable of running on the processor, wherein when the program or the instructions are executed by the processor, following steps are implemented:

• decoding a to-be-decoded code stream to obtain a to-be-decoded point cloud, wherein to-be-decoded points in the to-be-decoded point cloud are sorted in a preset coding order;
• partitioning the to-be-decoded point cloud into at least one to-be-decoded point cloud block based on the number of to-be-decoded points comprised in the to-be-decoded point cloud, volume information of a bounding box corresponding to the to-be-decoded point cloud, and an order of each to-be-decoded point;
• for each to-be-decoded point cloud block comprising at least two to-be-decoded points, partitioning the to-be-decoded point cloud block into M to-be-decoded point cloud groups based on the number of to-be-decoded points comprised in the to-be-decoded point cloud block and a preset maximum transform order, M being a positive integer;
• performing inverse quantization processing on a second transform coefficient corresponding to a third target to-be-decoded point cloud group, to obtain a target high-frequency coefficient and a target low-frequency coefficient;
• wherein the third target to-be-decoded point cloud group is at least part of the M to-be-decoded point cloud groups and the third target to-be-decoded point cloud group is a to-be-decoded point cloud group for which inverse quantization processing is performed;
• and
• performing inverse transform processing on the target high-frequency coefficient and the target low-frequency coefficient to obtain third residual information corresponding to the third target to-be-decoded point cloud group.