In the process of laser 3D image restoration, the image details are not enough and the efficiency is low, so a laser 3D image restoration method based on virtual reality technology is proposed. The three-dimensional laser image is decomposed by stationary wavelet transform technology, and the low frequency and high frequency components of the original image are obtained. The laser 3D image denoising model is designed, multiple networks of the model are trained, network parameters are adjusted, and nearly clean images are output. The denoising process of the laser 3D image is realized, and the restoration and output of the laser 3D image are realized. The experimental results show that the maximum mean square error is 0.008, the minimum structural similarity is 0.920, and the peak SNR is 0.22, which is obviously better than the comparison method, and the average time is less. It shows that the method in this paper can ensure the high level of image restoration and improve the efficiency of restoration processing.