Fusion algorithm of infrared and visible images based on local energy using NSCT

According to the characteristics of the infrared and visible image, an image fusion algorithm of infrared and visible images based on local average energy using NSCT is proposed. After the two original images -registered are decomposed by using NSCT, the low frequency sub-band coefficients and band-pass directional sub-band coefficients are given by fusion rules based on local average energy, and then the fused image is obtained by inverse NSCT .The simulation results show that the algorithm proposed in this paper is best among wavelet-based, Curvelet-based and NSCT-based method.

[1]  Minh N. Do,et al.  The Nonsubsampled Contourlet Transform: Theory, Design, and Applications , 2006, IEEE Transactions on Image Processing.

[2]  Bao-Long Guo,et al.  Research on Image Fusion Based on the Nonsubsampled Contourlet Transform , 2007, 2007 IEEE International Conference on Control and Automation.