DocumentCode :
2568738
Title :
Noise resilient image fusion based on orthogonal matching pursuit
Author :
Liao, Bin ; Liu, Li-xiong
Author_Institution :
Sch. of Electr. & Electron. Eng., North China Electr. Power Univ., Beijing, China
fYear :
2009
fDate :
11-14 Oct. 2009
Firstpage :
3112
Lastpage :
3115
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 features 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.
Keywords :
Laplace transforms; computational complexity; frequency-domain analysis; image fusion; image matching; image representation; image texture; Laplacian pyramid transform; OMP; computational complexity; edge capture; frequency domain; image representation; noise resilient image fusion; orthogonal matching pursuit; overcomplete dictionary; texture feature; Cybernetics; Dictionaries; Image fusion; Laplace equations; Matching pursuit algorithms; Noise robustness; Power engineering and energy; Problem-solving; Pursuit algorithms; USA Councils; image fusion; laplacian pyramid; orthogonal matching pursuit; overcomplete dictionary;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
Conference_Location :
San Antonio, TX
ISSN :
1062-922X
Print_ISBN :
978-1-4244-2793-2
Electronic_ISBN :
1062-922X
Type :
conf
DOI :
10.1109/ICSMC.2009.5346146
Filename :
5346146
Link To Document :
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