Just Noticeable Distortion Based Perceptually Lossless Intra Coding

Xuelin SHEN, Xinfeng ZHANG, Shiqi WANG, Sam KWONG, Guopu ZHU

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

3 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationICASSP 2020 : 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
PublisherIEEE
Pages2058-2062
ISBN (Electronic)9781509066315
ISBN (Print)9781509066322
DOIs
Publication statusPublished - May 2020
Externally publishedYes
Event45th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020) - Barcelona, Spain
Duration: 4 May 20208 May 2020
https://2020.ieeeicassp.org/index.html

Conference

Conference45th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020)
Country/TerritorySpain
CityBarcelona
Period4/05/208/05/20
Internet address

Bibliographical note

This work was supported by the Natural Science Foundation of China under Grant 61871342, Grant 61772344, and Grant 61672443 and in part by the Hong Kong RGC General Research Funds under Grant 9042820 (C-ityU 11219019), Grant 9042489(CityU 11206317), Grant 9042322 (CityU 11200116), and Grant 9048123 (CityU 21211518).

Keywords

  • intra coding
  • just noticeable distortion
  • Perceptual video coding

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