For the problem of low contrast and loss of details in the fused infrared and visible images under a low illumination environment, this paper proposes a fusion method based on dual-domain enhancement. Firstly, the infrared and visible images are preprocessed: the Retinex model is used to enhance the infrared image, then denoise, and the logarithmic image processing (LIP) model is used to enhance the visible image; then the edge-preserving filter is used to decompose the preprocessed image into base layer and detail layer; for the base layer, a fusion technology based on visual saliency mapping is used to control the image quality For the detail layer, a simple summation fusion strategy is used to retain more details; finally, the fused image is reconstructed by linear combination. Experimental results show that the proposed algorithm is superior to the contrast algorithm in subjective visual effect and objective index evaluation.