NDLI: Rate-distortion optimised quantisation for HEVC using spatial just noticeable distortion

Content Provider	IEEE Xplore Digital Library
Author	Dias, A.S. Siekmann, M. Bosse, S. Schwarz, H. Marpe, D. Mrak, M.
Copyright Year	2015
Description	Author affiliation: R&D, British Broadcasting Corp., London, UK (Dias, A.S.; Mrak, M.) \|\| Fraunhofer Inst. for Telecommun. - Heinrich Hertz Inst., Berlin, Germany (Siekmann, M.; Bosse, S.; Schwarz, H.; Marpe, D.)
Abstract	Due to the higher requirements associated with Ultra High Definition (UHD) resolutions in terms of memory and transmission bandwidth, the feasibility of UHD video communication applications is strongly dependent on the performance of video compression solutions. Even though the High Efficiency Video Coding (HEVC) standard allows significantly superior rate-distortion performances compared to previous video coding standards, further performance improvements are possible when exploiting the perceptual properties of the Human Visual System (HVS). This paper proposes a novel perceptual-based solution fully compliant with the HEVC standard, where a low complexity Just Noticeable Distortion model is used to drive the encoder's rate-distortion optimised quantisation process. This technique allows a simple and effective way to influence the decisions made at the encoder, based on the limitations of the HVS. The experiments conducted for UHD resolutions show average bitrate savings of 21% with no visual quality degradations when compared to the HEVC reference software.
Starting Page	110
Ending Page	114
File Size	523926
Page Count	5
File Format	PDF
ISBN	9780992862633
ISSN	20761465
DOI	10.1109/EUSIPCO.2015.7362355
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-31
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	EURASIP
Subject Keyword	UHD Rate-Distortion Optimised Quantisation 5G mobile communication Conferences Europe Signal processing Perceptual Video Compression HEVC Just Noticeable Distortion
Content Type	Text
Resource Type	Article

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