Noise resilient image fusion based on orthogonal matching pursuit

Bin Liao; Li Xiong Liu

doi:10.1109/ICSMC.2009.5346146

Noise resilient image fusion based on orthogonal matching pursuit

Bin Liao^*, Li Xiong Liu

^*Corresponding author for this work

School of Computer Science and Technology

North China Electric Power University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Proceedings 2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009
Pages	3112-3115
Number of pages	4
DOIs	https://doi.org/10.1109/ICSMC.2009.5346146
Publication status	Published - 2009
Event	2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009 - San Antonio, TX, United States Duration: 11 Oct 2009 → 14 Oct 2009

Publication series

Name	Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
ISSN (Print)	1062-922X

Conference

Conference	2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009
Country/Territory	United States
City	San Antonio, TX
Period	11/10/09 → 14/10/09

Keywords

Image fusion
Laplacian pyramid
Orthogonal matching pursuit
Overcomplete dictionary

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10.1109/ICSMC.2009.5346146

Cite this

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title = "Noise resilient image fusion based on orthogonal matching pursuit",

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.",

keywords = "Image fusion, Laplacian pyramid, Orthogonal matching pursuit, Overcomplete dictionary",

author = "Bin Liao and Liu, {Li Xiong}",

year = "2009",

doi = "10.1109/ICSMC.2009.5346146",

language = "English",

isbn = "9781424427949",

series = "Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics",

pages = "3112--3115",

booktitle = "Proceedings 2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009",

note = "2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009 ; Conference date: 11-10-2009 Through 14-10-2009",

}

Liao, B & Liu, LX 2009, Noise resilient image fusion based on orthogonal matching pursuit. in Proceedings 2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009., 5346146, Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp. 3112-3115, 2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009, San Antonio, TX, United States, 11/10/09. https://doi.org/10.1109/ICSMC.2009.5346146

Noise resilient image fusion based on orthogonal matching pursuit. / Liao, Bin; Liu, Li Xiong.
Proceedings 2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009. 2009. p. 3112-3115 5346146 (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Liu, Li Xiong

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N2 - 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.

AB - 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.

KW - Image fusion

KW - Laplacian pyramid

KW - Orthogonal matching pursuit

KW - Overcomplete dictionary

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Y2 - 11 October 2009 through 14 October 2009

ER -

Noise resilient image fusion based on orthogonal matching pursuit

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Keywords

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