Please use this identifier to cite or link to this item: http://hdl.handle.net/10071/14576
Author(s): Conti, C.
Nunes, P.
Soares, L. D.
Date: 2018
Title: Light field image coding with jointly estimated self-similarity bi-prediction
Volume: 60
Pages: 144 - 159
ISSN: 0923-5965
DOI (Digital Object Identifier): 10.1016/j.image.2017.10.006
Keywords: Light field
Plenoptic
Holoscopic
Integral imaging
Image coding
HEVC
Self-similarity
Bi-prediction
Abstract: This paper proposes an efficient light field image coding (LFC) solution based on High Efficiency Video Coding (HEVC) and a novel Bi-prediction Self-Similarity (Bi-SS) estimation and compensation approach to efficiently explore the inherent non-local spatial correlation of this type of content, where two predictor blocks are jointly estimated from the same search window by using a locally optimal rate constrained algorithm. Moreover, a theoretical analysis of the proposed Bi-SS prediction is also presented, which shows that other non-local spatial prediction schemes proposed in literature are suboptimal in terms of Rate-Distortion (RD) performance and, for this reason, can be considered as restricted cases of the jointly estimated Bi-SS solution proposed here. These theoretical insights are shown to be consistent with the presented experimental results, and demonstrate that the proposed LFC scheme is able to outperform the benchmark solutions with significant gains with respect to HEVC (with up to 61.1% of bit savings) and other state-of-the-art LFC solutions in the literature (with up 16.9% of bit savings).
Peerreviewed: yes
Access type: Open Access
Appears in Collections:IT-RI - Artigos em revistas científicas internacionais com arbitragem científica

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