Chroma Subsampling for Enhanced Geometry-Based Point Cloud Compression

IF 3.9 2区工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Signal Processing Letters Pub Date : 2025-08-11 DOI:10.1109/LSP.2025.3597874

Zehan Wang;Yuxuan Wei;Jongseok Lee;Hyejung Hur;Hui Yuan

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引用次数: 0

Abstract

Due to the huge data volume of three dimensional point clouds, efficient point cloud compression (PCC) is very important and challenging under limited storage and bandwidth conditions. The Moving Picture Experts Group (MPEG) is actively developing the geometry-based point cloud compression (G-PCC) standard and plan to release the second edition of G-PCC, namely Enhanced G-PCC. In image and video compression, chroma components are typically encoded at a lower resolution than luma, with minimal perceptual quality loss. However, chroma subsampling has not yet been explored in PCC. We investigate the characteristics of points at different level of details, and propose a chroma subsampling that can be embedded with the codec of Enhanced G-PCC. Experimental results show that the proposed method outperforms the state-of-the-art Enhanced G-PCC reference software version29.0 in terms of coding efficiency and time complexity. Due to the excellent performance, the proposed method has been adopted by the MPEG and will be integrated into the upcoming version of the reference software of Enhanced G-PCC.

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基于增强几何的点云压缩的色度子采样

由于三维点云的数据量巨大，在有限的存储和带宽条件下，有效的点云压缩（PCC）是非常重要和具有挑战性的。运动图像专家组（MPEG）正在积极开发基于几何的点云压缩（G-PCC）标准，并计划发布G-PCC第二版，即增强型G-PCC。在图像和视频压缩中，色度分量通常以比亮度更低的分辨率编码，具有最小的感知质量损失。然而，色度亚采样尚未在PCC中进行探索。研究了不同细节点的特征，提出了一种可嵌入增强型G-PCC编解码器的色度子采样方法。实验结果表明，该方法在编码效率和时间复杂度方面都优于当前最先进的Enhanced G-PCC参考软件version29.0。由于该方法性能优异，已被MPEG采用，并将集成到即将发布的增强型G-PCC参考软件中。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Signal Processing Letters 工程技术-工程：电子与电气

CiteScore

7.40

自引率

12.80%

发文量

339

审稿时长

2.8 months

期刊介绍： The IEEE Signal Processing Letters is a monthly, archival publication designed to provide rapid dissemination of original, cutting-edge ideas and timely, significant contributions in signal, image, speech, language and audio processing. Papers published in the Letters can be presented within one year of their appearance in signal processing conferences such as ICASSP, GlobalSIP and ICIP, and also in several workshop organized by the Signal Processing Society.