Image Fusion Method Based on NSCT and Robustness Analysis

Infrared and visible image fusion technology can effectively improve the image contrast and clarity,enhance night vision.Non-subsampled Contourlet transform(NSCT) in image fusion field has made some achievements.A regional standard deviation-weighted image fusion method based on non-subsampled Contourlet transform was proposed,and the robustness of the method was analyzed.Firstly,the registered infrared and visible images from the same scene were transformed by non-subsampled Contourlet transform,followed by approximate weight was averaging and weighted summing of high-frequency detail components in accordance with the proportion of the regional standard deviation and then the fusion image is obtained by inverse non-subsampled Contourlet transform,and then the fusion images were compared with the results obtained by Laplace transformation,wavelet transformation and Contourlet transformation through a large number of experiments,and the robustness analysis was done through the noise test.The results show that: non-subsampled Contourlet transform can achieve better fusion effect,and high robustness.