In this paper，we study a kind of image fusion methods，which based on local energy of CL multiwavelet transform. This method improved energy fusion rely on energy matching degree，and studied the numericalrelation of the multi-layer local energy fully. Image correlation coefficient between the layers is used to determinethe fusion weight after multiple wavelet decomposition. The algorithm stability is strong，easy to meet the real-timerequirement the diagnosis. Experimental results show that the method is compared with pure GHM regional energyfusion method，not only the image information entropy and mutual information entropy，increased by 2% and 5%respectively，the cross entropy and standard deviation also improved. Have a food intuitive visual effects.