The current low resolution laser image reconstruction effect is not ideal, resulting in low reconstruction accuracy and long reconstruction time. In order to overcome the shortcomings of current low resolution laser image reconstruction and improve the accuracy of low resolution laser image reconstruction, a low resolution laser image highresolution reconstruction method based on visual communication is proposed. Firstly, the low resolution laser image to be reconstructed is collected, and the wavelet transform algorithm is used to preprocess the original low resolution laser image to eliminate noise interference. Then, Retinex theory is used to reconstruct the preprocessed laser image, and the histogram equalization method of visual communication technology is introduced to improve the contrast of the laser image. Finally, a low resolution laser image reconstruction simulation experiment is conducted, and the experimental results show that the method proposed in this paper effectively solves the problem of low resolution laser image reconstruction. The clarity of the laser image is significantly improved, the structural similarity exceeds 0.97, the peak signal-to-noise ratio reaches 28 dB or more, and the laser image reconstruction time is controlled within 10 s. Moreover, the overall performance of the reconstruction is far superior to other low resolution laser image reconstruction methods, and it has higher practical applications value.