Using structural similarity quality metrics to evaluate image compression techniques

Alan C. Brooks*, Thrasyvoulos N Pappas

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Perceptual image quality metrics have explicitly accounted for perceptual characteristics of the human visual system (HVS) by modeling sensitivity to subband noise as the just-noticeable threshold of distortion. While such metrics can successfully account for contrast and luminance masking, they are quite sensitive to spatial shifts, intensity shifts, contrast changes, and scale changes. In contrast, the recently proposed Structural SIMilarity (SSIM) metrics account for perception more implicitly with the assumption that the HVS is adapted for extracting structural information (relative spatial covariance) from images. As such, they have the potential to be much more effective in quantifying suprathreshold compression artifacts than traditional perceptual metrics, as such artifacts tend to distort the structure of an image. We use a (perceptually) weighted variation of the Complex Wavelet SSIM (CWSSIM) to evaluate standard image compression techniques such as JPEG, JPEG 2000, SPIHT, and the Safranek-Johnston perceptual image coder. Our experimental results indicate that the weighted CWSSIM generally agrees with subjective evaluations.

Original languageEnglish (US)
Title of host publication2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
DOIs
StatePublished - Aug 6 2007
Event2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 - Honolulu, HI, United States
Duration: Apr 15 2007Apr 20 2007

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume1
ISSN (Print)1520-6149

Other

Other2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
CountryUnited States
CityHonolulu, HI
Period4/15/074/20/07

Keywords

  • Image compression
  • JPEG
  • JPEG 2000
  • Perceptual quality
  • Perceptual subband image coder
  • Structural similarity

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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