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Shearlet Transform-Based Light Field Compression under Low Bitrates

Research output: Contribution to journalArticleScientificpeer-review


Original languageEnglish
Pages (from-to)4269-4280
Number of pages12
JournalIEEE Transactions on Image Processing
Publication statusPublished - 2020
Publication typeA1 Journal article-refereed


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.


  • Light field (LF) coding, multi-view extension of high-efficiency video coding (MV-HEVC), multiple camera system (MCS) coding, shearlet

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