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Proceedings Paper

Multifocus image fusion algorithm based on the contourlet transform
Author(s): Lei Yang; Jianzhong Cao; Hao Wang; Yao Tang; Hua Wang
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Paper Abstract

Adopting the advantages of contourlet such as multiscale, localization, directionality and anisotropy, a multifocus image fusion algorithm based on contourlet transform is developed [1]. Source images are firstly decomposed to domain of the contourlet transform. The image fusion is then implemented in subbands with different scale and direction combining. The fusion rule with maximum absolute value coefficient is used to fuse the high frequency subbands, while the rule dependent on the image’s spatial frequencies and contrast are applied to the low frequency subbands. Finally the fused image is obtained through inverse transform. Experimental results show that the fused image using this algorithm has better subjective visual effect, and is better than the one using traditional Laplacian pyramid algorithm and wavelet based algorithm.

Paper Details

Date Published: 15 October 2012
PDF: 6 pages
Proc. SPIE 8420, 6th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical System Technologies for Manufacturing and Testing, 84201F (15 October 2012); doi: 10.1117/12.968604
Show Author Affiliations
Lei Yang, Graduate Univ. of Chinese Academy of Sciences (China)
Xi'an Institute of Optics and Precision Mechanics (China)
Jianzhong Cao, Xi'an Institute of Optics and Precision Mechanics (China)
Hao Wang, Xi'an Institute of Optics and Precision Mechanics (China)
Yao Tang, Xi'an Institute Of Optics and Precision Mechanics (China)
Hua Wang, Xi'an Institute Of Optics and Precision Mechanics (China)


Published in SPIE Proceedings Vol. 8420:
6th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical System Technologies for Manufacturing and Testing
Xiangdi Lin; Yoshiharu Namba; Tingwen Xing, Editor(s)

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