图像处理中非加性噪声情形下维纳滤波的推广

Extension of Wiener filtering when noise could be non-additive in image processing

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.