摘要
在图像处理中,噪声问题是经常会遇到的问题。一般情形下都假定噪声是加性的,此时,维纳滤波器是一种最简便的降噪方法,而且它在均方误差意义下是最优的。将噪声推广到非加性的情形,利用维纳滤波的基本思想,同样可以得到均方误差意义下的最优滤波。
In digital signal processing,we often meet with the problem of noise.If noise is additive,Wiener filtering is one simple method to delete it,and this filtering can minimize the mean standard error.In this article,the author considers the noise which is non-additive,by using the method of Wiener filtering we can also obtain the filtering which minimizes the mean standard error.
出处
《计算机工程与应用》
CSCD
北大核心
2007年第12期184-185,238,共3页
Computer Engineering and Applications
基金
国家自然科学基金(the National Natural Science Foundation of China under Grant No.10571051)
高等院校博士学科点专项科研基金(the China Specialized Research Fund for the Doctoral Program of Higher Education under Grant No.20040542006)。
关键词
图像处理
噪声
加性
维纳滤波器
image processing
noise
additive
Wiener filtering
