A low complexity Wyner-Ziv coding solution for Light Field image transmission and storage

Cong, HP; HoangVan, X; Perry, S

A low complexity Wyner-Ziv coding solution for Light Field image transmission and storage

Cong, HP HoangVan, X Perry, S

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2019
Issue Date:: 2019

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Field	Value	Language
dc.contributor.author	Cong, HP	en_US
dc.contributor.author	HoangVan, X	en_US
dc.contributor.author	Perry, S https://orcid.org/0000-0002-2794-3178	en_US
dc.date	2019-06-05	en_US
dc.date.available	2021-08-12T19:00:45Z
dc.date.issued	2019	en_US
dc.identifier.citation	2019	en_US
dc.identifier.isbn	978 - 1 - 7281 - 2150 - 5	en_US
dc.identifier.uri	http://hdl.handle.net/10453/138120
dc.description.abstract	Compressing Light Field (LF) imaging data is a challenging but very important task for both LF image transmission and storage applications. In this paper, we propose a novel coding solution for LF images using the well-known Wyner-Ziv (WZ) information theorem. First, the LF image is decomposed into a fourth-dimensional LF (4D-LF) data format. Using a spiral scanning procedure, a pseudo-sequence of 4D-LF is generated. This sequence is then compressed in a distributed coding manner as specified in the WZ theorem. Secondly, a novel adaptive frame skipping algorithm is introduced to further explore the high correlation between 4D-LF pseudo-sequences. Experimental results show that the proposed LF image compression solution is able to achieve a significant performance improvement with respect to the standard, notably around 54% bitrate saving when compared with the standard High Efficiency Video Coding (HEVC) Intra benchmark while requiring less computational complexity.	en_US
dc.publisher	IEEE	en_US
dc.relation.ispartof	2019 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)	en_US
dc.rights	© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	A low complexity Wyner-Ziv coding solution for Light Field image transmission and storage	en_US
dc.type	Conference Proceeding
utslib.location.activity	Jeju, Korea	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	open_access	*
pubs.consider-herdc	true	en_US
pubs.finish-date	2019-06-07	en_US
pubs.publication-status	Published online	en_US
pubs.start-date	2019-06-05	en_US

Abstract:

Compressing Light Field (LF) imaging data is a challenging but very important task for both LF image transmission and storage applications. In this paper, we propose a novel coding solution for LF images using the well-known Wyner-Ziv (WZ) information theorem. First, the LF image is decomposed into a fourth-dimensional LF (4D-LF) data format. Using a spiral scanning procedure, a pseudo-sequence of 4D-LF is generated. This sequence is then compressed in a distributed coding manner as specified in the WZ theorem. Secondly, a novel adaptive frame skipping algorithm is introduced to further explore the high correlation between 4D-LF pseudo-sequences. Experimental results show that the proposed LF image compression solution is able to achieve a significant performance improvement with respect to the standard, notably around 54% bitrate saving when compared with the standard High Efficiency Video Coding (HEVC) Intra benchmark while requiring less computational complexity.

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http://hdl.handle.net/10453/138120