Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (14): 178-180.

• 图形、图像、模式识别 • Previous Articles     Next Articles

Extension and application of Wiener filtering in image processing

GUO Shui-xia1,TANG Yong-jun2   

  1. 1.College of Mathematics and Computer Science,Hunan Normal University,Changsha 410081,China
    2.College English Teaching Unit,Hunan Normal University,Changsha 410081,China
  • Received:2007-08-29 Revised:2007-10-22 Online:2008-05-11 Published:2008-05-11
  • Contact: GUO Shui-xia



  1. 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
  • 通讯作者: 郭水霞

Abstract: 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.

Key words: image processing, noise, multiplicative, Wiener filtering

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。

关键词: 图像处理, 噪声, 乘性, 维纳滤波器