基于无下采样Contourlet变换的图像融合算法

针对目前最新发展的无下采样Contourlet变换，同时具有方向性、各向异性和平移不变性的特点，提出了一种新的基于无下采样Contourlet变换图像融合算法。首先对原始图像进行无下采样的Contourlet变换，得到高频和低频图像系数；然后根据它们的系数特性，采用一种新的加权融合规则对其进行融合。实验证明，此方法相对于传统的变换法，取得更优的融合结果。

Image fusion based on nonsubsampled Contourlet transform

A novel method of image fusion based on the nonsubsampled Contourlet transform is proposed,based on the recently developed nonsubsampled Contourlet transform,which can offer a trait of multidirection,flexible multiscale and shift-invariant simultaneity.At first,obtain the high and low frequency-coefficients by decomposing the image with the nonsubsampled Contourlet transformation.Then,according to the coefficient characters between the high and low frequency-coefficients,syncretize them by using new fusion algorithms of weighted average.The experimental results show that the new method makes a better fusion result compared with the traditional transform methods.