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.
出处
《计算机工程与应用》
CSCD
北大核心
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
关键词
图像处理
噪声
乘性
维纳滤波器
image processing
noise
multiplicative
Wiener filtering
