Coding of 3D holoscopic image by using spatial correlation of rendered view images
Deyang Liu, Ping An, Chao Yang, Ran Ma, Liquan Shen
Abstract
Holoscopic imaging is a prospective acquisition and display solution for providing natural and fatigue-free 3D visualization. However, large amount of data is required to represent the 3D holoscopic content. Therefore, efficient coding schemes for this particular type of image are needed. In this paper, an effective coding scheme is proposed by exploring the spatial correlation among the view images with different perspectives rendered from 3D holoscopic image. We utilize the interlaced view image to descript such spatial correlation. A linear prediction method is used on the interlaced view image instead of the original holoscopic image directly. Experimental results show that the proposed coding scheme performs better than HEVC intra standard and screen content coding extension of HEVC with around 2.41dB and 0.42 dB average quality improvement respectively.
BibTeX
@inproceedings{icassp2017_codingof3dholosc,
title = {Coding of 3D holoscopic image by using spatial correlation of rendered view images},
author = {Deyang Liu and Ping An and Chao Yang and Ran Ma and Liquan Shen},
booktitle = {ICASSP 2017},
year = {2017}
}