PT Journal
AU Eduard Vazquez
   Theo Gevers
   M. Lucassen
   Joost Van de Weijer
   Ramon Baldrich
TI Saliency of Color Image Derivatives: A Comparison between Computational Models and Human Perception
SO Journal of the Optical Society of America A
JI JOSA A
PY 2010
BP 613–621
VL 27
IS 3
DI 10.1364/JOSAA.27.000613
AB 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%.
ER