摘要
由于传统图像重建方法获取到的重建图像比较模糊,为了提高重建图像的质量,提出基于三维虚拟现实技术的图像重建方法。在三维虚拟现实技术的基础上,根据相机的成像原理,计算相机光学部分可以识别的最大距离,通过计算场景画面的最小识别距离实现图像的降质分析;利用三维虚拟现实技术训练图像的检测样本,预测出样本图像的像素值,通过公式描述了图像的提取过程,完成了图像边缘信息的提取;最后在三维虚拟现实技术的基础上,构建了图像重建算法,实现了基于三维虚拟现实技术的图像重建。实验结果表明,基于三维虚拟现实技术的图像重建方法得到的重建图像质量较高。
The image reconstruction method based on 3 D virtual reality technology is proposed to improve the quality of reconstructed image because the image reconstructed by traditional image reconstruction method is fuzzy. On the basis of 3 D virtual reality technology,the maximum distance that the optical part of the camera can recognize is calculated according to the imaging principle of camera. The image degradation analysis is realized by calculating the minimum recognition distance of scene image. The detection sample of image is trained with 3 D virtual reality technology to predict the pixel value of the sample image.The extraction process of image is described by means of the formula to fulfill the edge information extraction of the image. On the basis of 3 D virtual reality technology,an image reconstruction algorithm is established and the image reconstruction is realized. The experimental results show that the quality of the reconstruction image obtained by the image reconstruction method based on 3 D virtual reality technology is high.
作者
黄桂明
莫字瑛
HUANG Guiming;MO Ziying(Hezhou College,Hezhou 542899,China)
出处
《现代电子技术》
北大核心
2020年第17期64-68,共5页
Modern Electronics Technique
关键词
图像重建
三维虚拟现实技术
图像降质分析
样本训练
像素值预测
信息提取
image reconstruction
3D virtual reality technology
image degradation analysis
sample training
pixel value prediction
information extraction