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. |
ACCESS THE FULL ARTICLE
No SPIE Account? Create one
![Lens.org Logo](/images/Lens.org/lens-logo.png)
CITATIONS
Cited by 6 scholarly publications.
Point clouds
Quantization
Distortion
Chromium
3D modeling
Video coding
Mathematical optimization