Comparison of image quality assessment algorithms on compressed images

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

doi:10.1117/12.840221

Comparison of image quality assessment algorithms on compressed images

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

Psychology

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	Proceedings of SPIE-IS and T Electronic Imaging - Image Quality and System Performance VII
DOIs	https://doi.org/10.1117/12.840221
State	Published - 2010
Event	Image Quality and System Performance VII - San Jose, CA, United States Duration: Jan 18 2010 → Jan 19 2010

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	7529
ISSN (Print)	0277-786X

Other

Other	Image Quality and System Performance VII
Country/Territory	United States
City	San Jose, CA
Period	1/18/10 → 1/19/10

Keywords

Maximum-likelihood difference scaling
Quality assessment

ASJC Scopus subject areas

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

Access to Document

10.1117/12.840221

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 Article 75290B (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 7529). https://doi.org/10.1117/12.840221

Comparison of image quality assessment algorithms on compressed images. / Charrier, Christophe; Knoblauch, Kenneth; Moorthy, Anush K. et al.
Proceedings of SPIE-IS and T Electronic Imaging - Image Quality and System Performance VII. 2010. 75290B (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 7529).

Research output: Chapter in Book/Report/Conference proceeding › Conference 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., 75290B, Proceedings of SPIE - The International Society for Optical Engineering, vol. 7529, Image Quality and System Performance VII, San Jose, CA, United States, 1/18/10. https://doi.org/10.1117/12.840221

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Comparison of image quality assessment algorithms on compressed images

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this