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Interpreting Plenoptic Images as Multi-View Sequences for Improved Compression
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Systems and Technology. (Realistic3D)
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Systems and Technology.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Systems and Technology.ORCID iD: 0000-0003-3751-6089
2017 (English)In: ICIP 2017, IEEE, 2017, p. 4557-4561Conference paper, Published paper (Refereed)
Abstract [en]

Over the last decade, advancements in optical devices have made it possible for new novel image acquisition technologies to appear. Angular information for each spatial point is acquired in addition to the spatial information of the scene that enables 3D scene reconstruction and various post-processing effects. Current generation of plenoptic cameras spatially multiplex the angular information, which implies an increase in image resolution to retain the level of spatial information gathered by conventional cameras. In this work, the resulting plenoptic image is interpreted as a multi-view sequence that is efficiently compressed using the multi-view extension of high efficiency video coding (MV-HEVC). A novel two dimensional weighted prediction and rate allocation scheme is proposed to adopt the HEVC compression structure to the plenoptic image properties. The proposed coding approach is a response to ICIP 2017 Grand Challenge: Light field Image Coding. The proposed scheme outperforms all ICME contestants, and improves on the JPEG-anchor of ICME with an average PSNR gain of 7.5 dB and the HEVC-anchor of ICIP 2017 Grand Challenge with an average PSNR gain of 2.4 dB.

Place, publisher, year, edition, pages
IEEE, 2017. p. 4557-4561
Keywords [en]
Light field, plenoptic, MV-HEVC
Identifiers
URN: urn:nbn:se:miun:diva-31455DOI: 10.1109/ICIP.2017.8297145ISI: 000428410704138Scopus ID: 2-s2.0-85045337163ISBN: 978-1-5090-2175-8 (print)OAI: oai:DiVA.org:miun-31455DiVA, id: diva2:1134955
Conference
24TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), Beijing, China 17-20 September 2017
Note

Accepted paper.

Available from: 2017-08-22 Created: 2017-08-22 Last updated: 2018-05-15Bibliographically approved

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Ahmad, WaqasOlsson, RogerSjöström, Mårten

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Ahmad, W., Olsson, R. & Sjöström, M. (2017). Interpreting Plenoptic Images as Multi-View Sequences for Improved Compression.

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CiteExportLink to record
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