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Updated: Jun 7, 2026

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
Published on: March 1, 2022
Uniformity of some recent color metrics tested with an accurate color-difference tolerance dataset
Abstract:
The Rochester Institute of Technology-Dupont dataset [Color Res. Appl. 16, 297-316 (1991)] has been used to analyze the uniformity of seven color metrics, developed after CIELUV and CIELAB, with methods similar to those previously applied to several other classical datasets [J. Opt. Soc. Am. A 9, 1247-1253 (1992)]. Significant performance improvements over CIELAB were found with several CIELAB-based metrics, mainly with the model recently proposed by Commission Internationale de L'Eclairage Technical Committee 1-29 [Color Res. Appl. 18, 137-139 (1993)]. Several significant differences found between some pairs of metrics became insignificant when we selected from the Rochester Institute of Technology-Dupont dataset pairs of samples with only chromaticity differences.
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