A low brightness laser image detail information enhancement method based on visual communication is proposed to address the issues of low brightness laser images, resulting in missing internal detail information and decreased image applicability. From the perspective of visual communication, the low illumination laser image is converted into Lab color mode. The laser image is decomposed into high-frequency and low-frequency components using the Curvet transform. The high-frequency components are enhanced using a detail enhancement network model. The low-frequency components are enhanced using a low light level image enhancement method based on illuminance map estimation, and the enhanced high-frequency and low-frequency components are fused. The experimental results show that, After using this method to enhance the detail information of the selected images, the information entropy of each image is higher than 8.35, and the contrast and correlation coefficients are higher than 0.846 and 0.815, respectively. The enhanced images are more consistent with human visual characteristics.