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Proceedings Paper

Towards high dynamic range extensions of HEVC: subjective evaluation of potential coding technologies
Author(s): Philippe Hanhart; Martin Řeřábek; Touradj Ebrahimi
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Paper Abstract

This paper reports the details and results of the subjective evaluations conducted at EPFL to evaluate the responses to the Call for Evidence (CfE) for High Dynamic Range (HDR) and Wide Color Gamut (WCG) Video Coding issued by Moving Picture Experts Group (MPEG). The CfE on HDR/WCG Video Coding aims to explore whether the coding efficiency and/or the functionality of the current version of HEVC standard can be signi_cantly improved for HDR and WCG content. In total, nine submissions, five for Category 1 and four for Category 3a, were compared to the HEVC Main 10 Profile based Anchor. More particularly, five HDR video contents, compressed at four bit rates by each proponent responding to the CfE, were used in the subjective evaluations. Further, the side-by-side presentation methodology was used for the subjective experiment to discriminate small differences between the Anchor and proponents. Subjective results shows that the proposals provide evidence that the coding efficiency can be improved in a statistically noticeable way over MPEG CfE Anchors in terms of perceived quality within the investigated content. The paper further benchmarks the selected objective metrics based on their correlations with the subjective ratings. It is shown that PSNR-DE1000, HDRVDP- 2, and PSNR-Lx can reliably detect visible differences between the proposed encoding solutions and current HEVC standard.

Paper Details

Date Published: 22 September 2015
PDF: 12 pages
Proc. SPIE 9599, Applications of Digital Image Processing XXXVIII, 95990G (22 September 2015); doi: 10.1117/12.2193832
Show Author Affiliations
Philippe Hanhart, Ecole Polytechnique Federale de Lausanne (Switzerland)
Martin Řeřábek, Ecole Polytechnique Federale de Lausanne (Switzerland)
Touradj Ebrahimi, Ecole Polytechnique Federale de Lausanne (Switzerland)

Published in SPIE Proceedings Vol. 9599:
Applications of Digital Image Processing XXXVIII
Andrew G. Tescher, Editor(s)

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