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- Title
Rate-distortion optimized quantization for geometry-based point cloud compression.
- Authors
Guo, Tian; Yuan, Hui; Wang, Lu; Wang, Tingting
- Abstract
Limited by the network bandwidth, three-dimensional (3D) point cloud needs to be efficiently compressed before transmission. As one of the three attribute coding methods adopted in the geometry-based point cloud compression (G-PCC) standard developed by MPEG, predicting transform (PT) has received increasing attention. To further improve the coding efficiency of PT, we propose a rate-distortion optimized quantization (RDOQ) in which an additional option for quantization results is added by setting the quantized residuals to zero forcedly. Rate-distortion optimization is then used to determine whether the final quantized residual should be zero or nonzero. Experimental results show that average BD rates of −0.5 % , −3.0 % , and −3.0 % can be achieved for Luma, Chroma Cb, and Chroma Cr components, respectively, with negligible increment of time complexity.
- Subjects
POINT cloud; MPEG (Video coding standard)
- Publication
Journal of Electronic Imaging, 2023, Vol 32, Issue 1, p13047
- ISSN
1017-9909
- Publication type
Article
- DOI
10.1117/1.JEI.32.1.013047