Abstract: An image fusion method of multiscale edge detection image fusion algorithm based on stationary multiwavelet transform is proposed. Fusion of low light visible light and infrared image was studied. This approach determines the image edge position based on LOG criteria and in combination with stationary multiwavlet transform algorithm. In wavelet domain, a pixel of edge are adopted for fusing high frequency coefficient according to edge detection, max of absolute value mean is used for low frequency coefficient fusion and then the fusion image is reconstructed by wavelet inverse transform. Experimental results show that the method can effectively enhance the edge details and improve the spatial resolution of the image through fusion of low light visible image and infrared image.