Point Cloud Attribute Compression Via Chroma Subsampling
Point Cloud Attribute Compression Via Chroma Subsampling
复制标题
通过色度子采样进行点云属性压缩
DOI：
10.1109/icassp43922.2022.9746352
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发表时间：
2022
期刊：
影响因子：
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通讯作者：
Nonaka, Keisuke
中科院分区：
文献类型：
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作者：
Sridhara, Shashank N.;Pavez, Eduardo;Ortega, Antonio;Watanabe, Ryosuke;Nonaka, Keisuke
通过提出一种对三维空间中不规则放置的点进行采样的新技术，将色度亚采样引入到三维点云属性压缩中。虽然目前的大多数视频压缩标准使用色度亚采样，但由于其不规则性和稀疏性，这些色度亚采样方法不能直接应用于3D点云。在这项工作中，我们开发了一个框架，将色度亚采样引入到基于几何的点云编码中，如区域自适应分层变换(RAHT)和区域自适应图形傅立叶变换(RAGFT)。我们在规则的3D网格上提出了不同的采样模式，以便以不同的速率对点进行采样。在解码端，我们使用了一种简单的基于图的最近邻内插技术来重建全分辨率的点云。实验结果表明，我们提出的方法在不影响重建质量的情况下提供了显著的编码增益。对于某些序列，我们观察到在Bjontegaard度量下比特率降低了10%-15%。更广泛地说，感知掩蔽使得在质量没有明显变化的情况下实现更大的比特率降幅成为可能。
We introduce chroma subsampling for 3D point cloud attribute compression by proposing a novel technique to sample points irregularly placed in 3D space. While most current video compression standards use chroma subsampling, these chroma subsampling methods cannot be directly applied to 3D point clouds, given their irregularity and sparsity. In this work, we develop a framework to incorporate chroma subsampling into geometry-based point cloud encoders, such as region adaptive hierarchical transform (RAHT) and region adaptive graph Fourier transform (RAGFT). We propose different sampling patterns on a regular 3D grid to sample the points at different rates. We use a simple graph-based nearest neighbor interpolation technique to reconstruct the full resolution point cloud at the decoder end. Experimental results demonstrate that our proposed method provides significant coding gains with negligible impact on the reconstruction quality. For some sequences, we observe a bitrate reduction of 10-15% under the Bjontegaard metric. More generally, perceptual masking makes it possible to achieve larger bitrate reductions without visible changes in quality.