The overexposure of an image directly affects the reading effect of effective information in the image. Laser images have the characteristics of high energy and high brightness, which makes them prone to overexposure. In order to restore the information in overexposed laser images, an intelligent restoration method based on visual communication for overexposed excitation images is proposed. By simulating the overexposure process of laser images, degraded images are identified as the processing objects for image restoration. By comprehensively considering the histogram features and brightness features of laser images, determine the overexposed areas in the laser image. For overexposed areas, with the aim of improving visual communication, intelligent image restoration results are achieved through steps such as light compensation, color correction, and noise suppression. Through the effect test experiment, the conclusion is drawn: Compared with the traditional restoration method, the optimized design method obtained that the peak signal-to-noise ratio of the restored laser image reached 49.5 dB, the image restoration time was only 4.9 s, and the structural similarity reached 0.987, indicating that the method had a higher peak signal-to-noise ratio, the image was clearer and more similar to the original image, and effectively improved the image restoration efficiency.