计算机工程与应用 ›› 2010, Vol. 46 ›› Issue (3): 175-176.DOI: 10.3778/j.issn.1002-8331.2010.03.053

• 图形、图像、模式识别 • 上一篇    下一篇

改进的自适应中值滤波

王晓凯,李 锋   

  1. 复旦大学 电子工程系,上海 200433
  • 收稿日期:2008-08-10 修回日期:2008-11-03 出版日期:2010-01-21 发布日期:2010-01-21
  • 通讯作者: 王晓凯

Improved adaptive median filtering

WANG Xiao-kai,LI Feng   

  1. Department of Electronic Engineering,Fudan University,Shanghai 200433,China
  • Received:2008-08-10 Revised:2008-11-03 Online:2010-01-21 Published:2010-01-21
  • Contact: WANG Xiao-kai

摘要: 均值滤波能较好的平滑图像的噪声,自适应中值滤波能较好的保存原始图像的细节和边缘。为了恢复被高密度脉冲噪声污染的图像,提出了改进的自适应中值滤波算法,新算法结合了均值滤波和自适应中值滤波两者的优点。实验结果表明,该算法能够有效地消除被污染图像中的高密度脉冲噪声,并较好地保留原始图像细节和边缘。

关键词: 脉冲噪声, 均值滤波, 中值滤波, 自适应窗口

Abstract: Mean filters can smooth the image noise while adaptive median filters can preserve the details and edge information of the original image.In order to restore the image with high-density impulse noise,this paper combines the merits of mean filters and adaptive median filters,and proposes a new algorithm for the improved adaptive median filters.The experimental results show that the algorithm can eliminate high-density impulse noise in the image and preserve the details and edge information of the original image effectively.

Key words: impulse noise, mean filtering, median filtering, adaptive windows

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