Comparison of image quality assessment algorithms on compressed images

Christophe Charrier, Kenneth Knoblauch, Anush K. Moorthy, Alan C. Bovik, Laurence T. Maloney

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

Abstract

A crucial step in image compression is the evaluation of its performance, and more precisely the available way to measure the final quality of the compressed image. Usually, to measure performance, some measure of the covariation between the subjective ratings and the degree of compression is performed between rated image quality and algorithm. Nevertheless, local variations are not well taken into account. We use the recently introduced Maximum Likelihood Difference Scaling (MLDS) method to quantify suprathreshold perceptual differences between pairs of images and examine how perceived image quality estimated through MLDS changes the compression rate is increased. This approach circumvents the limitations inherent to subjective rating methods.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE-IS and T Electronic Imaging - Image Quality and System Performance VII
Volume7529
DOIs
StatePublished - 2010
EventImage Quality and System Performance VII - San Jose, CA, United States
Duration: Jan 18 2010Jan 19 2010

Other

OtherImage Quality and System Performance VII
CountryUnited States
CitySan Jose, CA
Period1/18/101/19/10

Fingerprint

Image Quality Assessment
Image quality
Maximum likelihood
Image Quality
Maximum Likelihood
Compression
Image compression
Scaling
ratings
Image Compression
Performance Measures
Quantify
scaling
Evaluation
evaluation

Keywords

  • Maximum-likelihood difference scaling
  • Quality assessment

ASJC Scopus subject areas

  • Applied Mathematics
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics

Cite this

Charrier, C., Knoblauch, K., Moorthy, A. K., Bovik, A. C., & Maloney, L. T. (2010). Comparison of image quality assessment algorithms on compressed images. In Proceedings of SPIE-IS and T Electronic Imaging - Image Quality and System Performance VII (Vol. 7529). [75290B] https://doi.org/10.1117/12.840221

Comparison of image quality assessment algorithms on compressed images. / Charrier, Christophe; Knoblauch, Kenneth; Moorthy, Anush K.; Bovik, Alan C.; Maloney, Laurence T.

Proceedings of SPIE-IS and T Electronic Imaging - Image Quality and System Performance VII. Vol. 7529 2010. 75290B.

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

Charrier, C, Knoblauch, K, Moorthy, AK, Bovik, AC & Maloney, LT 2010, Comparison of image quality assessment algorithms on compressed images. in Proceedings of SPIE-IS and T Electronic Imaging - Image Quality and System Performance VII. vol. 7529, 75290B, Image Quality and System Performance VII, San Jose, CA, United States, 1/18/10. https://doi.org/10.1117/12.840221
Charrier C, Knoblauch K, Moorthy AK, Bovik AC, Maloney LT. Comparison of image quality assessment algorithms on compressed images. In Proceedings of SPIE-IS and T Electronic Imaging - Image Quality and System Performance VII. Vol. 7529. 2010. 75290B https://doi.org/10.1117/12.840221
Charrier, Christophe ; Knoblauch, Kenneth ; Moorthy, Anush K. ; Bovik, Alan C. ; Maloney, Laurence T. / Comparison of image quality assessment algorithms on compressed images. Proceedings of SPIE-IS and T Electronic Imaging - Image Quality and System Performance VII. Vol. 7529 2010.
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