In order to solve the lack of multi-scale detail information in the original single source image and the noise problem in image fusion, a multi-scale image fusion enhancement algorithm based on wavelet transform is proposed. According to the idea of using different fusion rules to the sub-band components of different frequencies, three kinds of fusion methods for high frequency sub-bands are proposed, and then, a novel multi-scale residual pyramid space which participates in the fusion process to enhance the multi-scale information of the image and reduces the fusion noise are built. The results of various wavelet decomposition and comparison experiments show that the wavelet multi-scale fusion enhancement algorithm proposed can effectively reduce the fusion image noise and enhance the multi-scale detail information of the image to a certain extent.