%0 Journal Article
%T Color Constancy Algorithms: Psychophysical Evaluation on a New Dataset
%A Javier Vazquez
%A C. Alejandro Parraga
%A Maria Vanrell
%A Ramon Baldrich
%J Journal of Imaging Science and Technology
%D 2009
%V 53
%N 3
%F Javier Vazquez2009
%O CIC
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=1171), last updated on Tue, 14 Jul 2015 10:57:47 +0200
%X The estimation of the illuminant of a scene from a digital image has been the goal of a large amount of research in computer vision. Color constancy algorithms have dealt with this problem by defining different heuristics to select a unique solution from within the feasible set. The performance of these algorithms has shown that there is still a long way to go to globally solve this problem as a preliminary step in computer vision. In general, performance evaluation has been done by comparing the angular error between the estimated chromaticity and the chromaticity of a canonical illuminant, which is highly dependent on the image dataset. Recently, some workers have used high-level constraints to estimate illuminants; in this case selection is based on increasing the performance on the subsequent steps of the systems. In this paper we propose a new performance measure, the perceptual angular error. It evaluates the performance of a color constancy algorithm according to the perceptual preferences of humans, or naturalness (instead of the actual optimal solution) and is independent of the visual task. We show the results of a new psychophysical experiment comparing solutions from three different color constancy algorithms. Our results show that in more than a half of the judgments the preferred solution is not the one closest to the optimal solution. Our experiments were performed on a new dataset of images acquired with a calibrated camera with an attached neutral grey sphere, which better copes with the illuminant variations of the scene.
%U http://dx.doi.org/10.2352/J.ImagingSci.Technol.2009.53.3.031105
%P 031105–9