Mr. Shuho Umebayashi Profile

Shuho Umebayashi

at Tokyo University of Science

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Proceedings Article | 1 May 2022 Paper

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

Shuho Umebayashi, Kazuya Kodama, Takayuki Hamamoto

Proceedings Volume 12177, 121770R (2022) https://doi.org/10.1117/12.2625828

KEYWORDS: Video compression, Video, Image compression, 3D video compression, 3D image processing, Video coding, 3D image reconstruction, Image filtering, Dimension reduction, Signal to noise ratio

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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.

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