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Parzen窗估计法在图像复原中的应用探索
引用本文:和亚珺,郭平. Parzen窗估计法在图像复原中的应用探索[J]. 北京师范大学学报(自然科学版), 2004, 40(4): 469-474
作者姓名:和亚珺  郭平
作者单位:北京师范大学计算机科学与技术系,100875,北京;西南林学院计算机与信息科学系,650224,昆明,云南;北京师范大学计算机科学与技术系,100875,北京
摘    要:通过对降质图像离散退化模型与Parzen窗估计法基本公式的对比和对几种退化模型的点扩展函数特点的分析,揭示了点扩展函数与Parzen窗函数之间的对应关系.提出用Parzen窗函数对点扩展函数进行估计的思路和方法,从概率统计的角度对盲图像复原的方法进行了探索.

关 键 词:图像复原  点扩展函数  Parzen窗估计
修稿时间:2003-12-11

THE EXPLORATION ABOUT APPLAING PARZEN WINDOW ESTIMATION METHOD TO DIGITAL IMAGE RESTORATION
He Yajun ,) Guo Ping ). THE EXPLORATION ABOUT APPLAING PARZEN WINDOW ESTIMATION METHOD TO DIGITAL IMAGE RESTORATION[J]. Journal of Beijing Normal University(Natural Science), 2004, 40(4): 469-474
Authors:He Yajun   ) Guo Ping )
Affiliation:He Yajun 1,2) Guo Ping 1)
Abstract:Through analyzing the degraded image model and related point-spread functions, they show that Parzen-window function has some characteristics which are similar to point-spread function. A method to estimate the point-spread function based on Parzen-window function is proposed. The technique for blind recovering image with probability and estimation theory is explored. The work described is of both theoretical and practical meanings for the applications of digital image processing.
Keywords:image restoration  point-spread function  Parzen-window estimation
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