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Chroma Subsampling for Enhanced Geometry-Based Point Cloud Compression

delete2025-01-01
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PRE
AI
Z
Zehan Wang
Y
Yuxuan Wei
J
Jong‐Seok Lee
H
Hyejung Hur
H
Hui Yuan
DOI:10.1109/LSP.2025.3597874delete
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Abstract

Abstract

En 中文
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.
Keywords:
Point cloud compression
G-PCC
point cloud (PC)
chroma subsampling

Journal

IEEE Signal Processing Magazine cover
IEEE Signal Processing Magazine
IF:
9.6
Papers:
1.1W
Citations:
1.7W

Organization

L
lg electronics inc., seoul, south korea
Scholars:
2
Papers: 1
Citations: 0
S
shandong university
Scholars:
9.5W
Papers: 6.4W
Citations: 94
Cited Papers

Cited Papers

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Adaptive LPU Decision for Dynamic Point Cloud Compression
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errMu, Xingming; Gao, Wei; Yuan, Hang; Wang, Shunzhou; Li, Ge
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Point Cloud Attribute Compression Via Chroma Subsampling
err2022-05-23
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errSridhara,Shashank N.; Pavez,Eduardo; Ortega,Antonio; Watanabe,Ryosuke; Nonaka,Keisuke
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Efficient Geometry Surface Coding in V-PCC
err2023-01-01
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PREAI
errXiong, Jian; Gao, Hao; Wang, Miaohui; Li, Hongliang; Ngan, King Ngi; Lin, Weisi
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