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Multi-Sensor Image Fusion Algorithm Based on NSCT

TONG Tao1,YANG Guang1,TAN Hai-feng1,REN Chun-ying2(1.Department of Aerospace Intelligence,Aviation University of Air Force,Changchun 130022;2.Northeast Institute of Geography and Agroecology,Chinese Academy of Sciences,Changchun 130022,China)  
Specific to the drawback that favoritism and average method are weak in maintaining the contrast of fusion image,a novel fusion algorithm based on Nonsubsampled Contourlet Transform(NSCT) is proposed.Firstly,the registered multi-sensor images from the same scene were transformed by Nonsubsampled Contourlet Transform.Then the high and low frequency coefficients are fused separately by using different fusion strategies:the low frequency coefficient is fused by adaptive regional energy,while the high frequency coefficient is fused by using regional energy matching with weighted mean and selection method.Finally,the target image is obtained by performing inverse Nonsubsampled Contourlet Transform.The algorithm has been used to merge infrared and visible images and multi-focus images.The experimental results indicate that the fused image obtained by the proposed method has a better subjective visual effect and objective evaluation criteria and performs better than traditional fusion methods.
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