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Coding of focused plenoptic contents by displacement intra prediction
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information and Communication systems. (Realistic3D)
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information and Communication systems. (Realistic3D)ORCID iD: 0000-0003-3751-6089
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information and Communication systems. (Realistic3D)
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information and Communication systems. (Realistic3D)
2016 (English)In: IEEE transactions on circuits and systems for video technology (Print), ISSN 1051-8215, E-ISSN 1558-2205, Vol. 26, no 7, 1308-1319 p., 7137669Article in journal (Refereed) Published
Abstract [en]

A light field is commonly described by a two-plane representation with four dimensions. Refocused three-dimensional contents can be rendered from light field images. A method for capturing these images is by using cameras with microlens arrays. A dense sampling of the light field results in large amounts of redundant data. Therefore, an efficient compression is vital for a practical use of these data. In this paper, we propose a displacement intra prediction scheme with a maximum of two hypotheses for the compression of plenoptic contents from focused plenoptic cameras. The proposed scheme is further implemented into HEVC. The work is aiming at coding plenoptic captured contents efficiently without knowing underlying camera geometries. In addition, the theoretical analysis of the displacement intra prediction for plenoptic images is explained; the relationship between the compressed captured images and their rendered quality is also analyzed. Evaluation results show that plenoptic contents can be efficiently compressed by the proposed scheme. Bit rate reduction up to 60 percent over HEVC is obtained for plenoptic images, and more than 30 percent is achieved for the tested video sequences.

Place, publisher, year, edition, pages
2016. Vol. 26, no 7, 1308-1319 p., 7137669
Keyword [en]
Cameras, Distortion, Encoding, Image coding, Lenses, Microoptics, Rendering (computer graphics), HEVC, Plenoptic images, Plenoptic videos, compression, light field
National Category
Signal Processing Telecommunications
Identifiers
URN: urn:nbn:se:miun:diva-25230DOI: 10.1109/TCSVT.2015.2450333ISI: 000384075100009Scopus ID: 2-s2.0-84978658360Local ID: STCOAI: oai:DiVA.org:miun-25230DiVA: diva2:824798
Available from: 2015-06-22 Created: 2015-06-22 Last updated: 2017-12-04Bibliographically approved

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Li, YunSjöström, MårtenOlsson, RogerJennehag, Ulf
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