基于虚拟现实技术的激光三维图像复原方法研究  

Research on laser 3D image reconstruction method based on virtual reality technology

作　　者：刘畅 杨雅君 LIU Chang;YANG Yajun(Handan College,Handan Hebei 056006,China)

机构地区：[1]邯郸学院,河北邯郸056006

出　　处：《激光杂志》2025年第2期154-159,共6页Laser Journal

基　　金：河北省高等学校科学技术研究青年基金项目(No.QN2021303)。

摘　　要：激光三维图像复原处理过程中,图像细节保留不够充分、效率较低,故提出基于虚拟现实技术的激光三维图像复原方法。利用平稳小波变换技术分解激光三维图像,得到原图像的低频分量和高频分量,设计激光三维图像去噪模型,训练模型的多个网络,调整网络参数,输出接近干净的图像,实现激光三维图像的去噪处理,实现激光三维图像复原与输出。实验结果表明,应用本方法复原图像,均方误差最高为0.008,结构相似性最低为0.920,峰值信噪比最高为0.22,明显优于对比方法,且平均耗时少。说明本方法在保证高水平图像复原的同时,提高复原处理效率。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.

关 键 词：虚拟现实技术 激光三维图像 图像复原 图像分解 图像去噪 局部最优维纳滤波 

分 类 号：TN241[电子电信—物理电子学]