Mukherjee, Ratnajit, Debattista, Kurt, Bashford-Rogers, Thomas, Bessa, Maximino and Chalmers, Alan (2019) Uniform color space based high dynamic range video compression. IEEE Transactions on Circuits and Systems for Video Technology, 29 (7). pp. 2055-2066. doi:10.1109/TCSVT.2018.2861560 ISSN 1051-8215.

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Abstract

Recently, there has been significant progress in the research and development of High Dynamic Range (HDR) video technology and state-of-the-art video pipelines are able to offer a higher bit depth support to capture, store, encode and display HDR video content. In this paper, we introduce a novel HDR video compression algorithm which uses a perceptually uniform color opponent space, a novel perceptual transfer function to encode the dynamic range of the scene and a novel error minimization scheme for accurate chroma reproduction. The proposed algorithm was objectively and subjectively evaluated against four state-of-the-art algorithms. The objective evaluation was conducted across a set of 39 HDR video sequences, using the latest x265 10-bit video codec along with several perceptual and structural quality assessment metrics at 11 different quality levels. Furthermore, a rating-based subjective evaluation (n=40) was conducted with six sequences at two different output bitrates. Results suggest that the proposed algorithm exhibits the lowest coding error amongst the five algorithms evaluated. Additionally, ratedistortion characteristics suggest that the proposed algo- rithm outperforms the existing state-of-the-art at bitrates ≥ 0 . 4 bits/pixel.

Item Type:	Journal Article
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) T Technology > TR Photography
Divisions:	Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group)
Library of Congress Subject Headings (LCSH):	High dynamic range imaging, Video compression
Journal or Publication Title:	IEEE Transactions on Circuits and Systems for Video Technology
Publisher:	IEEE
ISSN:	1051-8215
Official Date:	July 2019
Dates:	Date Event July 2019 Published 31 July 2018 Available 13 July 2018 Accepted
Volume:	29
Number:	7
Page Range:	pp. 2055-2066
DOI:	10.1109/TCSVT.2018.2861560
Status:	Peer Reviewed
Publication Status:	Published
Reuse Statement (publisher, data, author rights):	© 2018 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.
Access rights to Published version:	Restricted or Subscription Access
Date of first compliant deposit:	7 August 2018
Date of first compliant Open Access:	7 August 2018
RIOXX Funder/Project Grant:	Project/Grant ID RIOXX Funder Name Funder ID EP/K014056/1 [EPSRC] Engineering and Physical Sciences Research Council http://dx.doi.org/10.13039/501100000266 PSi Theme 7: Visualization and Virtual Experience Jaguar Land Rover (Firm) http://viaf.org/viaf/305209406 IF130053 [RS] Royal Society http://dx.doi.org/10.13039/501100000288

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