Study on 5-D light field compression using multi-focus images

Shuho Umebayashi; Kazuya Kodama; Takayuki Hamamoto

doi:10.1117/12.2625828

30 April 2022 Study on 5-D light field compression using multi-focus images

Shuho Umebayashi, Kazuya Kodama, Takayuki Hamamoto

Proceedings Volume 12177, International Workshop on Advanced Imaging Technology (IWAIT) 2022; 121770R (2022) https://doi.org/10.1117/12.2625828
Event: International Workshop on Advanced Imaging Technology 2022 (IWAIT 2022), 2022, Hong Kong, China

Abstract

We propose a novel method of 5-D dynamic light field compression using multi-focus images. A light field enables us to observe its scene from various viewpoints. However, it generally consists of 4-D enormous data, that are not suitable for storing or transmitting without effective compression. 4-D light fields are very redundant because they essentially include just 3-D scene information. Actually, a method of reconstructing a light field directly from 3-D information composed of multi-focus images without any scene estimation is successfully derived, though robust 3-D scene estimation such as depth recovery from light fields is not so easy. Previously, based on the method, we proposed novel light field compression via multi-focus images as effective representation of 3-D scenes. In this paper, we extend this method to compression of 5-D light fields composed of multiview videos including the time domain. It achieves significant improvement in compression efficiency by utilizing multiple redundancy of 5-D light fields. We show experimental results using synthetic videos. Quality of reconstructed light fields is evaluated by PSNR and SSIM for analyzing characteristics of its performance. They reveal that our method is much superior to light field compression using HEVC at practical lower bit-rates.

Citation Download Citation

Shuho Umebayashi, Kazuya Kodama, and Takayuki Hamamoto "Study on 5-D light field compression using multi-focus images", Proc. SPIE 12177, International Workshop on Advanced Imaging Technology (IWAIT) 2022, 121770R (30 April 2022); https://doi.org/10.1117/12.2625828

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KEYWORDS

Video compression

Video

Image compression

3D image processing

3D video compression

Video coding

3D image reconstruction

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