Paper Info
Title
Shearlet Transform-Based Light Field Compression Under Low Bitrates
Abstract
Light field (LF) acquisition devices capture spatial and angular information of a scene. In contrast with traditional cameras, the additional angular information enables novel post-processing applications, such as 3D scene reconstruction, the ability to refocus at different depth planes, and synthetic aperture. In this paper, we present a novel compression scheme for LF data captured using multiple traditional cameras. The input LF views were divided into two groups: key views and decimated views. The key views were compressed using the multi-view extension of high-efficiency video coding (MV-HEVC) scheme, and decimated views were predicted using the shearlet-transform-based prediction (STBP) scheme. Additionally, the residual information of predicted views was also encoded and sent along with the coded stream of key views. The proposed scheme was evaluated over a benchmark multi-camera based LF datasets, demonstrating that incorporating the residual information into the compression scheme increased the overall peak signal to noise ratio (PSNR) by 2 dB. The proposed compression scheme performed significantly better at low bit rates compared to anchor schemes, which have a better level of compression efficiency in high bit-rate scenarios. The sensitivity of the human vision system towards compression artifacts, specifically at low bit rates, favors the proposed compression scheme over anchor schemes.
Year
DOI
Venue
2020
10.1109/TIP.2020.2969087
IEEE TRANSACTIONS ON IMAGE PROCESSING
Keywords
DocType
Volume
Light field (LF) coding, multiple camera system (MCS) coding, multi-view extension of high-efficiency video coding (MV-HEVC), shearlet
Journal
29
Issue
ISSN
Citations 
1
1057-7149
2
PageRank 
References 
Authors
0.37
4
6
Name
Order
Citations
PageRank
Waqas Ahmad172.84
Suren Vagharshakyan2363.43
Mårten Sjöström317419.69
Atanas P. Gotchev422338.55
Robert Bregovic514818.84
Roger Olsson6617.41