End-to-end multi-domain joint coding framework for 3D light field video based on viewpoint-disparity representation

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Authors: Ningchi Li, Benzhi Yang, Xinghua Yin, Jinhong He, Kexin Liu, Qing Lang, binbin yan, Xin Gao, Xinzhu Sang, Xunbo Yu
Cited by: 2
References: 31

Abstract

This paper proposes an end-to-end, multi-domain joint compression method for 3D light field video based on a viewpoint-disparity representation. By compressing dense viewpoints into sparse viewpoints with associated disparity and establishing a closed-loop "motion vector → disparity → view synthesis" pathway, our method achieves an 81% BD-rate reduction and a 1.998 dB BD-PSNR improvement compared to the MV-HEVC standard. Furthermore, the approach successfully decouples decoding time from the number of viewpoints, maintaining a stable latency of 28 ms during 96-viewpoint rendering. This work provides an effective solution for efficient compression of dense 3D light field video while establishing a theoretical foundation for its real-time transmission.

Fields of Study & Subjects

Video Coding and Compression Technologies Advanced Vision and Imaging Image and Video Quality Assessment

Publication details

Journal / source
Optics Express
Publisher
Optica Publishing Group
Volume
34
Issue
5
Pages
7538–7538
Publication date
28 January 2026
Language
EN