Noise resilient image fusion based on orthogonal matching pursuit

Authors:
Bin Liao;Li-xiong Liu
Affiliations:
School of Electric and Electronical Engineering, North China Electric Power University, Beijing, China;School of Computer Science&Technology, Beijing Institute of Technology, Beijing, China
Venue:
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Year:
2009

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Abstract

A novel image fusion algorithm based on orthogonal matching pursuit(OMP) is proposed, which is named IFOMP algorithm and can be used for noise free or noise images. The matching pursuit algorithm provides an efficient image representation using an overcomplete dictionary. Firstly, the source images are decomposed into sub-images at different scales through laplacian pyramid transform. The OMP method is exploited for capturing and fusing edges and texture feaures in the high frequency domain. Experimental results show that the proposed algorithm improves performance compared to traditional wavelet fusion with slightly increased computational complexity, and the fusion image has good robustness.