In order to solve the problem as the target information is not prominent in the fusion results of many visible and infrared image fusion methods. The Laplace decomposition mechanism is introduced to fuse the visible and infrared images with the brightness characteristics of the image. With the help of Laplace decomposition method, the input image is layered to obtain different layer information. Using the mean value of the image, the brightness information of the image is calculated, and the fusion weight of the lowfrequency layer is adjusted adaptively to obtain a low-frequency layer with high integrity of the target information. Based on the spatial frequency characteristics of the image, the detail richness of the high frequency layer is evaluated to obtain a fusion high frequency layer with rich details. And the low and high frequency layers are fused by using the Laplace inverse decomposition method. Experimental data show that the fusion results of the proposed algorithm can highlight the target information and have more detailed features than the existing fusion algorithms.