%0 Journal Article
%T Saliency of Color Image Derivatives: A Comparison between Computational Models and Human Perception
%A Eduard Vazquez
%A Theo Gevers
%A M. Lucassen
%A Joost Van de Weijer
%A Ramon Baldrich
%J Journal of the Optical Society of America A
%D 2010
%V 27
%N 3
%F Eduard Vazquez2010
%O ISE;CIC
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=1275), last updated on Fri, 04 Feb 2022 12:52:50 +0100
%X In this paper, computational methods are proposed to compute color edge saliency based on the information content of color edges. The computational methods are evaluated on bottom-up saliency in a psychophysical experiment, and on a more complex task of salient object detection in real-world images. The psychophysical experiment demonstrates the relevance of using information theory as a saliency processing model and that the proposed methods are significantly better in predicting color saliency (with a human-method correspondence up to 74.75% and an observer agreement of 86.8%) than state-of-the-art models. Furthermore, results from salient object detection confirm that an early fusion of color and contrast provide accurate performance to compute visual saliency with a hit rate up to 95.2%.
%U http://dx.doi.org/10.1364/JOSAA.27.000613
%P 613–621