摘要
采用传统的摄像系统点扩展函数恢复三维图像 ,往往不能得到满意的结果。文中提出一种新的概念——广义点扩展函数 ,取代传统的摄像系统点扩展函数 ,用于三维图像恢复。首先给出广义点扩展函数的定义 ,它等于物体和场景到摄像系统的点扩展函数与摄像系统的点扩展函数的卷积。然后给出物体和场景到摄像系统的点扩展函数估计。最后还给出采用广义点扩展函数恢复三维图像的实验结果。实验结果表明 ,采用广义点扩展函数恢复三维图像 ,比采用传统点扩展函数恢复三维图像能获得更好的效果。
In some cases,it is not satisfactory with image restor ation using traditional point spread function of imaging system. In this paper, a new idea,called the generalized point spread function,is proposed for 3D ima ge restoration. First,the definition of the generalized point spread function is introduced as a convolution of the point spread function of the object/scene to the imaging system with the point spread function of the imaging system itsel f. Then the estimation of the spread function of the object/scene to the imaging system is presented. Finally experimental result of the 3D image restoration us ing the generalized point spread function is given. It shows that the image restoration using the generalized point spread function is much better than that using the traditional one.
出处
《数据采集与处理》
CSCD
2000年第3期335-339,共5页
Journal of Data Acquisition and Processing
关键词
图像恢复
图像卷积
广义点扩展函数
三维图像
image restoration
point spread function
image co nvolution
Fourier transform
