Subjective and objective texture similarity for image compression

Jana Zujovic*, Thrasyvoulos N Pappas, David L. Neuhoff, Rene Van Egmond, Huib De Ridder

*Corresponding author for this work

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

8 Scopus citations

Abstract

We focus on the evaluation of texture similarity metrics for structurally lossless or nearly structurally lossless image compression. By structurally lossless we mean that the original and compressed images, while they may have visible differences in a side-by-side comparison, they have similar quality so that one cannot tell which is the original. This is particularly important for textured regions, which can have significant point-by-point differences, even though to the human eye they appear to be the same. As in traditional metrics, texture similarity metrics are expected to provide a monotonic relationship between measured and perceived distortion. To evaluate metric performance according to this criterion, we introduce a systematic approach for generating synthetic texture distortions that model variations that occur in natural textures. Based on such distortions, we conducted subjective experiments with a variety of original texture images and different types and degrees of distortions. Our results indicate that recently proposed structural texture similarity metrics provide the best performance.

Original languageEnglish (US)
Title of host publication2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings
Pages1369-1372
Number of pages4
DOIs
StatePublished - Oct 23 2012
Event2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Kyoto, Japan
Duration: Mar 25 2012Mar 30 2012

Publication series

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

Other

Other2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012
CountryJapan
CityKyoto
Period3/25/123/30/12

Keywords

  • image quality
  • perceptual similarity

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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  • Cite this

    Zujovic, J., Pappas, T. N., Neuhoff, D. L., Van Egmond, R., & De Ridder, H. (2012). Subjective and objective texture similarity for image compression. In 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings (pp. 1369-1372). [6288145] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2012.6288145