Open AccessBayesian approach for developing threshold color-difference models by the strip-pair comparison method
Author(s) -
Fernando Brusola,
Ignacio Tortajada,
Begoña Jordá,
Jimena González-Del Río,
Ismael Lengua Lengua
Publication year - 2021
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.432157
Subject(s) - color difference , bayesian probability , artificial intelligence , computer science , pattern recognition (psychology) , color model , statistics , mathematics , optics , color space , image (mathematics) , physics , enhanced data rates for gsm evolution
A Bayesian approach alternative to the one used in the strip-pair comparison method for developing threshold color-difference models is presented in this paper. Strip-pair comparison method is based on the construction of color-control strips made of pairs of patches put in contact and ordered by increasing the CIELAB color difference. Observers are required to indicate the number of the pair of patches in every strip for which they begin to perceive a just noticeable color difference. Frequency data obtained, from repeating several times the visual assessment, is recorded to build a Bayesian multinomial logistic regression model, which allows the determination of the coefficients of the color discrimination ellipsoids. The results of the Bayesian approach agree closely with the results obtained to validate strip-pair comparison method for the same theoretical frequency data. The main advantage of the Bayesian approach over many other methods is that it allows a direct analysis of the statistical variability of the estimated parameters by means of confidence intervals and other measures of statistical variability.