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Proceedings Paper

Efficient construction of saliency map
Author(s): Wen-Fu Lee; Tai-Hsiang Huang; Yi-Hsin Huang; Mei-Lan Chu; Homer H. Chen
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Paper Abstract

The saliency map is useful for many applications such as image compression, display, and visualization. However, the bottom-up model used in most saliency map construction methods is computationally expensive. The purpose of this paper is to improve the efficiency of the model for automatic construction of the saliency map of an image while preserving its accuracy. In particular, we remove the contrast sensitivity function and the visual masking component of the bottom-up visual attention model and retain the components related to perceptual decomposition and center-surround interaction that are critical properties of human visual system. The simplified model is verified by performance comparison with the ground truth. In addition, a salient region enhancement technique is adopted to enhance the connectivity of the saliency map, and the saliency maps of three color channels are fused to enhance the prediction accuracy. Experimental results show that the average correlation between our algorithm and the ground truth is close to that between the original model and the ground truth, while the computational complexity is reduced by 98%.

Paper Details

Date Published: 10 February 2009
PDF: 8 pages
Proc. SPIE 7240, Human Vision and Electronic Imaging XIV, 724018 (10 February 2009); doi: 10.1117/12.811166
Show Author Affiliations
Wen-Fu Lee, National Taiwan Univ. (Taiwan)
Tai-Hsiang Huang, National Taiwan Univ. (Taiwan)
Yi-Hsin Huang, National Taiwan Univ. (Taiwan)
Mei-Lan Chu, National Taiwan Univ. (Taiwan)
Homer H. Chen, National Taiwan Univ. (Taiwan)


Published in SPIE Proceedings Vol. 7240:
Human Vision and Electronic Imaging XIV
Bernice E. Rogowitz; Thrasyvoulos N. Pappas, Editor(s)

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