优化点云压缩中残差编码效率,减少冗余比特消耗。
Rate-Distortion Optimized Skip Coding of Region Adaptive Hierarchical Transform Coefficients for MPEG G-PCC
- 根据残差分布自适应决定是否编码最后几层残差。
- 在动态点云上实现亮度、色度分量平均率失真提升超3.5%。
- 适合需要高效点云压缩的三维视觉应用开发者。
三维点云在表示三维物体和场景方面日益流行。由于网络带宽有限,高效压缩三维点云至关重要。为应对这一挑战,国际动态影像专家组(MPEG)正在开发基于几何的点云压缩(G-PCC)标准,引入创新方法以优化压缩性能,例如嵌入分层八叉树结构中的区域自适应分层变换(RAHT)。然而,RAHT仍存在一个显著问题:最后几层的零残差比例过高,导致不必要的比特开销。为此,本文提出一种针对RAHT的自适应跳过编码方法,根据残差情况自适应判断是否编码最后几层,从而提升编码效率。此外,还提出一种关联自适应拉格朗日乘子的率失真代价计算方法。实验结果表明,在MPEG推荐的通用测试条件下,与当前最先进的G-PCC参考软件相比,该方法在动态点云上对亮度(Luma)、Cb和Cr分量分别实现了平均-3.50%、-5.56%和-4.18%的Bjøntegaard率改进。
原文摘要 · Abstract (English)
Three-dimensional (3D) point clouds are becoming more and more popular for representing 3D objects and scenes. Due to limited network bandwidth, efficient compression of 3D point clouds is crucial. To tackle this challenge, the Moving Picture Experts Group (MPEG) is actively developing the Geometry-based Point Cloud Compression (G-PCC) standard, incorporating innovative methods to optimize compression, such as the Region-Adaptive Hierarchical Transform (RAHT) nestled within a layer-by-layer octree-tree structure. Nevertheless, a notable problem still exists in RAHT, i.e., the proportion of zero residuals in the last few RAHT layers leads to unnecessary bitrate consumption. To address this problem, we propose an adaptive skip coding method for RAHT, which adaptively determines whether to encode the residuals of the last several layers or not, thereby improving the coding efficiency. In addition, we propose a rate-distortion cost calculation method associated with an adaptive Lagrange multiplier. Experimental results demonstrate that the proposed method achieves average Bjøntegaard rate improvements of -3.50%, -5.56%, and -4.18% for the Luma, Cb, and Cr components, respectively, on dynamic point clouds, when compared with the state-of-the-art G-PCC reference software under the common test conditions recommended by MPEG.
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