Low resolution laser image reconstruction has the problems of poor color visual effect and low structural similarity index. Therefore, a low resolution laser image reconstruction method based on color visual transmission is designed. Color visual transmission technology is introduced to fill the image color. Using ANC filter, amplitude is regarded as confidence, combined with bilateral filter and amplitude range kernel function, an adaptive bilateral normalization convolution method is designed to filter the image. Four-channel convolutional sparse coding is used to reconstruct low resolution laser images. The results show that the color visual transmission effect of the reconstructed images with this method is the best. The saturation is 97.2%, the brightness, hue, color contrast and sharpness are improved by 7.0%, 20°, 3.0 and 0.05 Line Pairs/MM, respectively. In addition, the visual area smoothness reaches 0.96, and the structural similarity index is 0.97. This method has better effect of laser image reconstruction.