图像处理中维纳滤波器的推广与应用  

Extension and application of Wiener filtering in image processing

作　　者：郭水霞[1] 唐拥军[2] 

机构地区：[1]湖南师范大学数学与计算机科学学院,长沙410081 [2]湖南师范大学英语教学部,长沙410081

出　　处：《计算机工程与应用》2008年第14期178-180,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);湖南师范大学校级课题资助

摘　　要：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。将噪声推广到一般的乘性噪声的情形,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,最后通过两个模拟的例子验证了该方法的有效性。Wiener filtering is one simple method to delete the noise, and this filtering can minimize the mean standard error. In this article, the author extents the noise to be the ordinary multiplicative noise, by using the method of Wiener filtering, can also obtain the filtering which minimizes the mean standard error. At last,the author validates the method by two simulated examples.

关 键 词：图像处理 噪声 乘性 维纳滤波器 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]