JUST NOTICEABLE DISTORTION BASED PERCEPTUALLY LOSSLESS INTRA CODING

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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Author(s)

Detail(s)

Original languageEnglish
Title of host publication2020 IEEE International Conference on Acoustics, Speech, and Signal Processing - PROCEEDINGS
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2058-2062
ISBN (Print)9781509066315
Publication statusPublished - May 2020

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2020-May
ISSN (Print)1520-6149
ISSN (Electronic)2379-190X

Conference

Title45th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020)
LocationVirtual
PlaceSpain
CityBarcelona
Period4 - 8 May 2020

Abstract

Perceptual video coding plays a very important role in video codec optimization aiming at removing the perceptual redundancies in video content. In this paper, a just noticeable distortion (JND) guided perceptually lossless coding framework is proposed for Versatile Video Coding (VVC) intra coding. Within this framework, a pattern-based pixel wise JND model is employed to guide the distortion distribution, and subsequently the most appropriate quantization parameter is chosen for each Coding Tree Unit (CTU). The content adaptive Laplacian distribution based D-Q model based on a two pass coding framework is established to derive the most proper QP that satisfies the perceptually lossless coding criteria. The whole framework is integrated into the H.266/VVC intra coding framework. Experimental results demonstrate that the proposed scheme can achieve high accuracy prediction and efficient perceptually lossless intra coding, leading to around 10% bitrate savings comparing with the frame level QP derivation scheme.

Research Area(s)

  • intra coding, just noticeable distortion, Perceptual video coding

Bibliographic Note

Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).

Citation Format(s)

JUST NOTICEABLE DISTORTION BASED PERCEPTUALLY LOSSLESS INTRA CODING. / Shen, Xuelin; Zhang, Xinfeng; Wang, Shiqi; Kwong, Sam; Zhu, Guopu.

2020 IEEE International Conference on Acoustics, Speech, and Signal Processing - PROCEEDINGS. Institute of Electrical and Electronics Engineers Inc., 2020. p. 2058-2062 9053580 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2020-May).

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review