Improved Image Fusion Method Based on NSCT and Accelerated NMF
AbstractIn 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.
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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.
Wang J, Lai S, Li M. Improved Image Fusion Method Based on NSCT and Accelerated NMF. Sensors. 2012; 12(5):5872-5887.Chicago/Turabian Style
Wang, Juan; Lai, Siyu; Li, Mingdong. 2012. "Improved Image Fusion Method Based on NSCT and Accelerated NMF." Sensors 12, no. 5: 5872-5887.