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Conti, C., Nunes, P. & Soares, L. D. (2018). Light field image coding with jointly estimated self-similarity bi-prediction. Signal Processing: Image Communication. 60, 144-159

C. Conti et al.,  "Light field image coding with jointly estimated self-similarity bi-prediction", in Signal Processing: Image Communication, vol. 60, pp. 144-159, 2018

@article{conti2018_1714309939324,
	author = "Conti, C. and Nunes, P. and Soares, L. D.",
	title = "Light field image coding with jointly estimated self-similarity bi-prediction",
	journal = "Signal Processing: Image Communication",
	year = "2018",
	volume = "60",
	number = "",
	doi = "10.1016/j.image.2017.10.006",
	pages = "144-159",
	url = "https://www.sciencedirect.com/science/article/pii/S0923596517301935"
}

TY  - JOUR
TI  - Light field image coding with jointly estimated self-similarity bi-prediction
T2  - Signal Processing: Image Communication
VL  - 60
AU  - Conti, C.
AU  - Nunes, P.
AU  - Soares, L. D.
PY  - 2018
SP  - 144-159
SN  - 0923-5965
DO  - 10.1016/j.image.2017.10.006
UR  - https://www.sciencedirect.com/science/article/pii/S0923596517301935
AB  - 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).
ER  -