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Sensors 2012, 12(5), 5872-5887; doi:10.3390/s120505872
Article

Improved Image Fusion Method Based on NSCT and Accelerated NMF

1
,
2,*  and 1
1 College of Computer Science, China West Normal University, 1 Shida Road, Nanchong 637002, China 2 Department of Medical Imaging, North Sichuan Medical College, 234 Fu Jiang Road, Nanchong 637000, China
* Author to whom correspondence should be addressed.
Received: 5 March 2012 / Revised: 24 April 2012 / Accepted: 25 April 2012 / Published: 7 May 2012
(This article belongs to the Section Physical Sensors)
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Abstract

In order to improve algorithm efficiency and performance, a technique for image fusion based on the Non-subsampled Contourlet Transform (NSCT) domain and an Accelerated Non-negative Matrix Factorization (ANMF)-based algorithm is proposed in this paper. Firstly, the registered source images are decomposed in multi-scale and multi-direction using the NSCT method. Then, the ANMF algorithm is executed on low-frequency sub-images to get the low-pass coefficients. The low frequency fused image can be generated faster in that the update rules for W and H are optimized and less iterations are needed. In addition, the Neighborhood Homogeneous Measurement (NHM) rule is performed on the high-frequency part to achieve the band-pass coefficients. Finally, the ultimate fused image is obtained by integrating all sub-images with the inverse NSCT. The simulated experiments prove that our method indeed promotes performance when compared to PCA, NSCT-based, NMF-based and weighted NMF-based algorithms.
Keywords: image fusion; non-subsampled contourlet transform; nonnegative matrix factorization; neighborhood homogeneous measurement image fusion; non-subsampled contourlet transform; nonnegative matrix factorization; neighborhood homogeneous measurement
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).
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Wang, J.; Lai, S.; Li, M. Improved Image Fusion Method Based on NSCT and Accelerated NMF. Sensors 2012, 12, 5872-5887.

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