Multifocus image fusion algorithm based on the contourlet transform

Lei Yang; Jianzhong Cao; Hao Wang; Yao Tang; Hua Wang

doi:10.1117/12.968604

15 October 2012 Multifocus image fusion algorithm based on the contourlet transform

Lei Yang, Jianzhong Cao, Hao Wang, Yao Tang, Hua Wang

Proceedings Volume 8420, 6th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical System Technologies for Manufacturing and Testing; 84201F (2012) https://doi.org/10.1117/12.968604
Event: 6th International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT 2012), 2012, Xiamen, China

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.

Citation Download Citation

Lei Yang, Jianzhong Cao, Hao Wang, Yao Tang, and Hua Wang "Multifocus image fusion algorithm based on the contourlet transform", Proc. SPIE 8420, 6th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical System Technologies for Manufacturing and Testing, 84201F (15 October 2012); https://doi.org/10.1117/12.968604

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