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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.



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. View Full-Text

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





Autor: Juan Wang 1, Siyu Lai 2,* and Mingdong Li 1

Fuente: http://mdpi.com/



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