Due to factors such as imaging equipment and transmission environment, laser remote sensing images exhibit significant blurring. To restore the quality of laser remote sensing images, a fuzzy laser remote sensing image reconstruction method based on visual communication is proposed. Using visual communication technology to obtain fuzzy laser remote sensing images, image features are extracted from texture, statistical distribution, frequency, and other aspects as image reconstruction rules. Through image registration, deblurring, noise, and other steps, the recon- struction results of fuzzy laser remote sensing images are obtained and output in a visualized form. Through testing ex- periments, it was concluded that compared with traditional reconstruction methods, the optimization method achieved a peak signal-to-noise ratio of 38 dB and a structural similarity of 0. 94, indicating that the optimization method has sig- nificant advantages in reconstruction quality.