Shearlet Transform-Based Light Field Compression under Low Bitrates
Ahmad, Waqas; Vagharshakyan, Suren; Sjostrom, Marten; Gotchev, Atanas; Bregovic, Robert; Olsson, Roger (2020)
Ahmad, Waqas
Vagharshakyan, Suren
Sjostrom, Marten
Gotchev, Atanas
Bregovic, Robert
Olsson, Roger
2020
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-202101181412
https://urn.fi/URN:NBN:fi:tuni-202101181412
Kuvaus
Peer reviewed
Tiivistelmä
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.
Kokoelmat
- TUNICRIS-julkaisut [19020]