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Title: Light field image coding using high-order intrablock prediction
Authors: Monteiro, R. J. S.
Nunes, P. J. L.
Rodrigues, N. M. M.
Faria, S. M. M.
Keywords: Geometric transformations
High order intra block prediction
Light field image coding
Issue Date: 2017
Publisher: IEEE
Abstract: This paper proposes a two-stage high-order intrablock prediction method for light field image coding. This method exploits the spatial redundancy in lenslet light field images by predicting each image block, through a geometric transformation applied to a region of the causal encoded area. Light field images comprise an array of microimages that are related by complex geometric transformations that cannot be efficiently compensated by state-of-the-art image coding techniques, which are usually based on low-order translational prediction models. The two-stage nature of the proposed method allows us to choose the order of the prediction model most suitable for each block, ranging from pure translations to projective or bilinear transformations, optimized according to an appropriate rate-distortion criterion. The proposed higher order intrablock prediction approach was integrated into a high efficiency video coding (HEVC) codec and evaluated for both unfocused and focused light field camera models, using different resolutions and microlens arrays. Experimental results show consistent bitrate savings, which can go up to 12.62%, when compared to a lower order intrablock prediction solution and 49.82% when compared to HEVC still picture coding.
Peer reviewed: yes
DOI: 10.1109/JSTSP.2017.2721358
ISSN: 1932-4553
Accession number: WOS:000413944400016
Appears in Collections:IT-RI - Artigo em revista internacional com arbitragem científica

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