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Updated: Jun 19, 2026

Visualizing Visual Adaptation
Published on: April 24, 2017
Perceptual analysis of distance measures for color constancy algorithms
Arjan Gijsenij1, Theo Gevers, Marcel P Lucassen
1Intelligent Systems Lab Amsterdam, University of Amsterdam, Kruislaan 403, 1098 SJ Amsterdam, The Netherlands. a.gijsenij@uva.nl
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.
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