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Journal of the Optical Society of America A

Journal of the Optical Society of America A


  • Editor: Stephen A. Burns
  • Vol. 24, Iss. 11 — Nov. 1, 2007
  • pp: 3418–3426

Maximum likelihood difference scaling of image quality in compression-degraded images

Christophe Charrier, Laurence T. Maloney, Hocine Cherifi, and Kenneth Knoblauch  »View Author Affiliations

JOSA A, Vol. 24, Issue 11, pp. 3418-3426 (2007)

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Lossy image compression techniques allow arbitrarily high compression rates but at the price of poor image quality. We applied maximum likelihood difference scaling to evaluate image quality of nine images, each compressed via vector quantization to ten different levels, within two different color spaces, RGB and CIE 1976 L * a * b * . In L * a * b * space, images could be compressed on average by 32% more than in RGB space, with little additional loss in quality. Further compression led to marked perceptual changes. Our approach permits a rapid, direct measurement of the consequences of image compression for human observers.

© 2007 Optical Society of America

OCIS Codes
(100.0100) Image processing : Image processing
(330.0330) Vision, color, and visual optics : Vision, color, and visual optics
(330.1690) Vision, color, and visual optics : Color
(330.4060) Vision, color, and visual optics : Vision modeling
(330.5020) Vision, color, and visual optics : Perception psychology
(330.5510) Vision, color, and visual optics : Psychophysics

ToC Category:
Vision, Color, and Visual Optics

Original Manuscript: August 20, 2007
Manuscript Accepted: August 20, 2007
Published: October 1, 2007

Virtual Issues
Vol. 2, Iss. 12 Virtual Journal for Biomedical Optics

Christophe Charrier, Laurence T. Maloney, Hocine Cherifi, and Kenneth Knoblauch, "Maximum likelihood difference scaling of image quality in compression-degraded images," J. Opt. Soc. Am. A 24, 3418-3426 (2007)

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  1. A. Gersho and R. M. Gray, Vector Quantization and Signal Compression (Kluwer Academic, 1991).
  2. I. E. G. Richardson, H.264 and MPEG-4 Video Compression: Video Coding for Next-generation Multimedia (Wiley, UK, 2003). [CrossRef]
  3. M. Flierl and B. Girod, Video Coding with Superimposed Motion-Compensated Signals: Applications to H.264 and Beyond (Kluwer Academic, 2004).
  4. R. M. Gray, "Vector quantization," IEEE ASSP Mag. 1, 4-29 (1984). [CrossRef]
  5. L. T. Maloney and J. N. Yang, "Maximum likelihood difference scaling," J. Vision 3, 573-585 (2003). http://www.journalofvision.org/3/8/5. [CrossRef]
  6. G. Obein, K. Knoblauch, and F. Viénot, "Difference scaling of gloss: non-linearity, binocularity, and constancy," J. Vision 4, 711-720 (2004). http://journalofvision.org/4/9/4. [CrossRef]
  7. G. Rhodes, L. T. Maloney, J. Turner, and L. Ewing, "Adaptive face coding and discrimination around the average face." Vision Res. 47, 974-989 (2007). [CrossRef] [PubMed]
  8. G. Wyszecki and W. S. Stiles, Color Science: Concepts and Methods, Quantitative Data and Formulas, 2nd ed. (Wiley, 1982).
  9. N. Mulroney and M. D. Fairchild, "Color space selection for JPEG image compression," in Proceedings of 1st IS&T/SID Color Imaging Conference (Society for Imaging Science and Technology, 1993), pp. 157-159.
  10. D. M. Green and J. A. Swets, Signal Detection Theory and Psychophysics (Wiley, New York, 1974).
  11. C. Charrier, K. Knoblauch, and H. Cherifi, "Perceptual distortion analysis of color image based coding," Proc. SPIE 3005, 134-143 (1997). [CrossRef]
  12. R Development Core Team, R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, Vienna, Austria (2007). ISBN 3-900051-07-0. http://www.R-project.org.
  13. P. McCullagh and J. A. Nelder, Generalized Linear Models (Chapman & Hall, 1989).
  14. B. Efron and R. J. Tibshirani, An Introduction to the Bootstrap (Chapman & Hall, New York, 1993).
  15. A. B. Watson and L. Kreslake, "Measurement of visual impairment scales for digital video," Proc. SPIE 4299, 79-89 (2001). [CrossRef]
  16. G. Buchsbaum and A. Gottschalk, "Trichromacy, opponent colours coding and optimum colour information transmission in the retina," Proc. R. Soc. London, Ser. B 220, 89-113 (1983). [CrossRef]
  17. D. H. Krantz, R. D. Luce, P. Suppes, and A. Tversky, Foundations of Measurement (Academic, 1971), pp. 140-141.
  18. D. H. Krantz, "A theory of context effects based on cross-context matching," J. Math. Psychol. 5, 1-48 (1968). [CrossRef]
  19. D. H. Krantz, "A theory of magnitude estimation and cross-modality matching," J. Math. Psychol. 9, 168-199 (1972). [CrossRef]
  20. R. N. Shepard, "On the status of 'direct' psychophysical measurement," in Minnesota Studies in the Philosophy of Science, Vol. 9, C.W.Savage, ed. (University of Minnesota Press, 1978), pp. 441-490.
  21. R. N. Shepard, "Psychological relations and psychophysical scales: on the status of 'direct' psychophysical measurement," J. Math. Psychol. 24, 21-57 (1981). [CrossRef]
  22. M. C. Boschman, "DifScal: a tool for analyzing difference ratings on an ordinal category scale," Behav. Res. Methods Instrum. Comput. 33, 10-20 (2001). [CrossRef] [PubMed]
  23. A. Mood, F. A. Graybill, and D. C. Boes, Introduction to the Theory of Statistics, 3rd ed. (McGraw-Hill, 1974).
  24. H. Wickham, ggplot: An Implementation of the Grammar of Graphics in R (2006). R package version 0.4.0. http://had.co.nz/ggplot.
  25. K. Knoblauch, C. Charrier, H. Cherifi, J. N. Yang, and L. T. Maloney, "Difference scaling of image quality in compression-degraded images," Perception 27, S174 (1998).

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