Edge and local energy NSCT based remote sensing image fusion
基于边缘和局部能量的NSCT变换遥感图像融合

Edge-based image fusion algorithm can not preserve energy structure which is important in indicating the reflection feature of the observed objects. This paper proposed an enhanced algorithm considering both edge and energy structures. Nonsubsampled contourlet transform is firstly deployed to analyze input image in both multi-scale and multi-direction sub-bands. Low frequency band is then divided into contour and smooth regions by edge energy. Edge energy is used as a fusion judgment for the contour region while local energy and correlation are selected as judgments for the smooth region. Local variance and correlation are chosen to merge the coefficients of high frequency sub-bands. Inverse NSCT transform is finally used to get the fused image. Experimental results show that the new algorithm is an effective method that introduces more detailed information while preserves power structure.