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Journal of the Optical Society of America A

Journal of the Optical Society of America A

| OPTICS, IMAGE SCIENCE, AND VISION

  • Editor: Stephen A. Burns
  • Vol. 26, Iss. 10 — Oct. 1, 2009
  • pp: 2243–2256

Perceptual analysis of distance measures for color constancy algorithms

Arjan Gijsenij, Theo Gevers, and Marcel P. Lucassen  »View Author Affiliations


JOSA A, Vol. 26, Issue 10, pp. 2243-2256 (2009)
http://dx.doi.org/10.1364/JOSAA.26.002243


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Abstract

Color constancy algorithms are often evaluated by using a distance measure that is based on mathematical principles, such as the angular error. However, it is unknown whether these distance measures correlate to human vision. Therefore, the main goal of our paper is to analyze the correlation between several performance measures and the quality, obtained by using psychophysical experiments, of the output images generated by various color constancy algorithms. Subsequent issues that are addressed are the distribution of performance measures, suggesting additional and alternative information that can be provided to summarize the performance over a large set of images, and the perceptual significance of obtained improvements, i.e., the improvement that should be obtained before the difference becomes noticeable to a human observer.

© 2009 Optical Society of America

OCIS Codes
(150.0150) Machine vision : Machine vision
(330.1690) Vision, color, and visual optics : Color
(330.5510) Vision, color, and visual optics : Psychophysics

ToC Category:
Machine Vision

History
Original Manuscript: March 20, 2009
Revised Manuscript: July 31, 2009
Manuscript Accepted: August 20, 2009
Published: September 25, 2009

Virtual Issues
Vol. 4, Iss. 12 Virtual Journal for Biomedical Optics

Citation
Arjan Gijsenij, Theo Gevers, and Marcel P. Lucassen, "Perceptual analysis of distance measures for color constancy algorithms," J. Opt. Soc. Am. A 26, 2243-2256 (2009)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-26-10-2243

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