Open AccessLight field image compression based on quality aware pseudo‐temporal sequence
Author(s) -
Liu Yu Yang,
Zhu Ce,
Mao Min
Publication year - 2018
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2017.4560
Subject(s) - light field , computer science , encoder , artificial intelligence , coding (social sciences) , computer vision , image quality , image compression , data compression , image (mathematics) , image processing , mathematics , operating system , statistics
Currently, a raw light field image can be captured by a light field camera and decomposed into multi‐views with different perceptual quality. A novel light field compression approach for a light field image is proposed based on this observation, where the raw light field image is decomposed into multi‐views as pseudo‐sequencing frames and reordered according to their perceptual quality. The resulting pseudo‐temporal sequence is then compressed by high‐efficiency video coding (HEVC) encoder. Experimental results show that the proposed method can achieve a better coding performance (up to 28% Bjontegaard delta bit rate reduction (BDBR) savings) compared with state‐of‐the‐art reordering techniques using HEVC.