Abstract
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.
Highlights
Scientific progress in defining and configuring new color difference models has been made possible by the increase and improvement of datasets
For the development of color difference models based on color appearance models (CAM), such as CIECAM02 [8] and CAM16 [9], other datasets [10,11,12,13,14,15,16,17] were developed to improve and evaluate the models
Brusola et al [26] have proposed the strip-pair comparison method (SCM), based on the serial exploration method proposed by Torgerson [27], to evaluate color differences at threshold as an alternative to grayscale method (GSM) and PCM to accelerate data collection
Summary
Scientific progress in defining and configuring new color difference models has been made possible by the increase and improvement of datasets. Xu et al [18] have generated a new dataset in order to verify the performance of different color difference models for HDR images reproduction. Most commonly used methods to generate color difference datasets have been the grayscale method (GSM) [22,23] and the pair comparison method (PCM) [3,24,25]. Brusola et al [26] have proposed the strip-pair comparison method (SCM), based on the serial exploration method proposed by Torgerson [27], to evaluate color differences at threshold as an alternative to GSM and PCM to accelerate data collection.
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