{"title":"基于增强几何的点云压缩的色度子采样","authors":"Zehan Wang;Yuxuan Wei;Jongseok Lee;Hyejung Hur;Hui Yuan","doi":"10.1109/LSP.2025.3597874","DOIUrl":null,"url":null,"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.","PeriodicalId":13154,"journal":{"name":"IEEE Signal Processing Letters","volume":"32 ","pages":"3255-3259"},"PeriodicalIF":3.9000,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Chroma Subsampling for Enhanced Geometry-Based Point Cloud Compression\",\"authors\":\"Zehan Wang;Yuxuan Wei;Jongseok Lee;Hyejung Hur;Hui Yuan\",\"doi\":\"10.1109/LSP.2025.3597874\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":13154,\"journal\":{\"name\":\"IEEE Signal Processing Letters\",\"volume\":\"32 \",\"pages\":\"3255-3259\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2025-08-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Signal Processing Letters\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/11122638/\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Signal Processing Letters","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/11122638/","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Chroma Subsampling for Enhanced Geometry-Based Point Cloud Compression
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.
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.