Point cloud attribute encoding and decoding method and device based on hybrid encoding
A hybrid encoding and encoding method technology is applied in the field of point cloud attribute encoding and decoding methods and devices, which can solve the problems of not taking into account the distribution characteristics of attribute prediction residuals, affecting encoding performance, and large encoding code stream, so as to reduce the encoding code stream. size, good coding effect, and the effect of improving coding efficiency
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Embodiment 1
[0061] See figure 1 , figure 1 A schematic flow diagram of a hybrid encoding-based point cloud attribute encoding method provided by an embodiment of the present invention, including:
[0062] Step 1: Obtain the original point cloud data;
[0063] In this embodiment, it is assumed that the acquired original point cloud contains N points, denoted as P(i) (i=0,1...N-1), and the original attribute value corresponding to each point is A n ,n=0,1,...N-1.
[0064] Step 2: Perform spatial transformation and attribute interpolation prediction on the attribute information of the original point cloud data based on the reconstructed geometric information to obtain the reconstructed point cloud attribute information.
[0065] Generally speaking, when performing attribute encoding, a lossy encoding mode, that is, lossy compression, is usually used. Therefore, it is necessary to convert the color information of point cloud data from RGB color space to luminance and chrominance color spa...
Embodiment 2
[0112] On the basis of the first embodiment above, this embodiment also provides a point cloud attribute encoding device based on hybrid encoding, please refer to image 3 , image 3 A schematic structural diagram of a point cloud attribute encoding device based on hybrid encoding provided by an embodiment of the present invention, which includes:
[0113] The first information acquisition module 11 is used to acquire original point cloud data;
[0114] The point cloud attribute reconstruction module 12 is used to perform spatial transformation and attribute interpolation prediction on the attribute information of the original point cloud data based on the reconstructed geometric information, so as to obtain the reconstructed point cloud attribute information;
[0115] The data processing module 13 is used to process the attribute information of the reconstructed point cloud to obtain the information to be encoded;
[0116] The mixed encoding module 14 is used to encode the ...
Embodiment 3
[0119] This embodiment also provides a method for decoding point cloud attributes based on hybrid coding, please refer to Figure 4 , Figure 4 A schematic flow diagram of a hybrid encoding-based point cloud attribute decoding method provided by an embodiment of the present invention, including:
[0120] Step 1: Obtain attribute stream information.
[0121] Specifically, because in the encoding stage, it first encodes the run_length number of consecutive zero prediction residuals, and then judges and encodes the current prediction residuals that are not 0, that is, the encoded attribute code stream information is Arranged according to run_length and prediction residual interval. Therefore, correspondingly in the decoding stage, the obtained attribute code stream information to be decoded is also arranged in this way.
[0122] Step 2: Decoding the attribute code stream information sequentially according to different decoding methods to obtain decoded data; wherein, the decod...
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