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SSIM-inspired divisive normalization for perceptual video coding

  • Shiqi Wang*
  • , Abdul Rehman
  • , Zhou Wang
  • , Siwei Ma
  • , Wen Gao
  • *Corresponding author for this work
  • Peking University
  • University of Waterloo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We propose a perceptual video coding framework based on an SSIM-inspired divisive normalization scheme as an attempt to transform the DCT domain frame prediction residuals to a perceptually uniform space before coding. Based on the residual divisive normalization process, we define a distortion model for mode selection and show that such a divisive normalization strategy largely simplifies the subsequent perceptual rate-distortion optimization procedure. Experiments demonstrate that the proposed scheme can achieve significant gain in terms of rate-SSIM performance in comparison with H.264/AVC.

Original languageEnglish
Title of host publicationICIP 2011
Subtitle of host publication2011 18th IEEE International Conference on Image Processing
Pages1657-1660
Number of pages4
DOIs
StatePublished - 2011
Externally publishedYes
Event2011 18th IEEE International Conference on Image Processing, ICIP 2011 - Brussels, Belgium
Duration: 11 Sep 201114 Sep 2011

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Conference

Conference2011 18th IEEE International Conference on Image Processing, ICIP 2011
Country/TerritoryBelgium
CityBrussels
Period11/09/1114/09/11

Keywords

  • H.264/AVC coding
  • rate distortion optimization
  • residual divisive normalization
  • SSIM index

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