@Article{EduardVazquez2010,
author="Eduard Vazquez
and Theo Gevers
and M. Lucassen
and Joost Van de Weijer
and Ramon Baldrich",
title="Saliency of Color Image Derivatives: A Comparison between Computational Models and Human Perception",
journal="Journal of the Optical Society of America A",
year="2010",
volume="27",
number="3",
pages="613--621",
abstract="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\%.",
optnote="ISE;CIC",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=1275), last updated on Fri, 04 Feb 2022 12:52:50 +0100",
doi="10.1364/JOSAA.27.000613"
}