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%.
© 2010 Optical Society of America
Full Article | PDF ArticleMore Like This
Dongmei Liu, Faliang Chang, and Chunsheng Liu
J. Opt. Soc. Am. A 33(8) 1430-1441 (2016)
Jin-Gang Yu, Changxin Gao, and Jinwen Tian
J. Opt. Soc. Am. A 33(3) 404-415 (2016)
Qiangqiang Zhou, Lin Zhang, Weidong Zhao, Xianhui Liu, Yufei Chen, and Zhicheng Wang
J. Opt. Soc. Am. A 34(3) 370-383 (2017)