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22 September 2015 HEVC for high dynamic range services
Seung-Hwan Kim, Jie Zhao, Kiran Misra, Andrew Segall
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Proceedings Volume 9599, Applications of Digital Image Processing XXXVIII; 95990C (2015) https://doi.org/10.1117/12.2188609
Event: SPIE Optical Engineering + Applications, 2015, San Diego, California, United States
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.
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Seung-Hwan Kim, Jie Zhao, Kiran Misra, and Andrew Segall "HEVC for high dynamic range services", Proc. SPIE 9599, Applications of Digital Image Processing XXXVIII, 95990C (22 September 2015); https://doi.org/10.1117/12.2188609
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KEYWORDS
Video coding
High dynamic range imaging
Video
Video compression
Computer programming
Televisions
Semantic video
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