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Proceedings Paper

Perceptual quantization matrices for high dynamic range H.265/MPEG-HEVC video coding
Author(s): Dan Grois; Alex Giladi
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Paper Abstract

In this work, perceptual quantization matrices for high-resolution High Dynamic Range (HDR) video coding have been developed for optimizing perceived visual quality and for reducing video transmission bit-rate, further making a special emphasis on the Ultra High Definition (UltraHD) resolution and H.265/MPEG-HEVC video coding standard. According to the proposed coding scheme, perceptual quantization matrices are first calculated according to Human Visual System (HVS) characteristics and based on predefined viewing conditions, and then utilized during the encoding loop for removing non-perceptible visual information. The above-mentioned predefined conditions include, for example, a target HDR display resolution and a variety of display characteristics, such as a distance between a user and display, luminance levels, and many others. According to the detailed experimental results presented in this work, visual quality of the UltraHD HDR video sequences is significantly improved, for substantially the same bit-rate, in terms of both SSIMPlus and PSNR objective quality metrics. On the other hand, the video transmission bit-rate is reduced by up 11.3% and 2.4%, respectively, while keeping the visual quality at substantially the same level.

Paper Details

Date Published: 24 February 2020
PDF: 14 pages
Proc. SPIE 11137, Applications of Digital Image Processing XLII, 111370O (24 February 2020); doi: 10.1117/12.2525406
Show Author Affiliations
Dan Grois, Comcast (United States)
Alex Giladi, Comcast (United States)


Published in SPIE Proceedings Vol. 11137:
Applications of Digital Image Processing XLII
Andrew G. Tescher; Touradj Ebrahimi, Editor(s)

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