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Proceedings Paper

HEVC for high dynamic range services
Author(s): Seung-Hwan Kim; Jie Zhao; Kiran Misra; Andrew Segall
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Paper Abstract

Displays capable of showing a greater range of luminance values can render content containing high dynamic range information in a way such that the viewers have a more immersive experience. This paper introduces the design aspects of a high dynamic range (HDR) system, and examines the performance of the HDR processing chain in terms of compression efficiency. Specifically it examines the relation between recently introduced Society of Motion Picture and Television Engineers (SMPTE) ST 2084 transfer function and the High Efficiency Video Coding (HEVC) standard. SMPTE ST 2084 is designed to cover the full range of an HDR signal from 0 to 10,000 nits, however in many situations the valid signal range of actual video might be smaller than SMPTE ST 2084 supported range. The above restricted signal range results in restricted range of code values for input video data and adversely impacts compression efficiency. In this paper, we propose a code value remapping method that extends the restricted range code values into the full range code values so that the existing standards such as HEVC may better compress the video content. The paper also identifies related non-normative encoder-only changes that are required for remapping method for a fair comparison with anchor. Results are presented comparing the efficiency of the current approach versus the proposed remapping method for HM-16.2.

Paper Details

Date Published: 22 September 2015
PDF: 9 pages
Proc. SPIE 9599, Applications of Digital Image Processing XXXVIII, 95990C (22 September 2015); doi: 10.1117/12.2188609
Show Author Affiliations
Seung-Hwan Kim, Sharp Labs. of America, Inc. (United States)
Jie Zhao, Sharp Labs. of America, Inc. (United States)
Kiran Misra, Sharp Labs. of America, Inc. (United States)
Andrew Segall, Sharp Labs. of America, Inc. (United States)


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

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