Image fusion algorithm based on wavelet transform is researched, and the algorithm is improved. Weighted average method is used to low-frequency parameter fusion, and high-frequency sub-image edge is extracted from high-frequency part firstly, and then variance maximum method is used to edge region fusion. Experimental results show that the method is feasible on subjective visual evaluation or objective visual evaluation such as information entropy, standard deviation, peak signal to noise ratio and spatial frequency.