计算机科学 ›› 2012, Vol. 39 ›› Issue (5): 246-248.

• 图形图像 • 上一篇    下一篇

一种纵横窗口关联的多级中值滤波算法

沈德海,刘大成,邢涛   

  1. (渤海大学信息科学与技术学院 锦州121000);(清华大学工业工程系 北京100084);(北京城市系统工程研究中心 北京100089)
  • 出版日期:2018-11-16 发布日期:2018-11-16

Multilevel Median Filter Algorithm Based on Vertical and Horizontal Windows Relation

  • Online:2018-11-16 Published:2018-11-16

摘要: 针对传统中值滤波算法不能很好保护图像细节以及受较严重噪声污染时性能急剧下降的情况,提出了一种 纵横窗口关联的多级中值滤波算法。算法采用开关策略,判断VX V窗口内像素点。对于噪声点,先求出以该点为 中心的纵横2N个窗口中每个窗口像素点的中值,再计算出这些中值点的中值,以替换噪声点像素值。对于非噪声 点,保持原值不变,从而实现了噪声的去除。仿真结果表明,纵横窗口关联的多级中值滤波算法具有较好的细节保护 能力和较强的去噪声能力。

关键词: 纵横窗口关联,椒盐噪声,多级中值滤波,噪声检测

Abstract: A multilevel median filter algorithm based on vertical and horizontal windows relation was proposed for the problem that traditional median filter algorithm can't protect the image detail very well, and that its performance will be in the sharp decline in dealing with high-density noise image. The algorithm determines the noise point of the image in window of NX N by using switching strategy. For the noise point, it's pixel value will be replaced by the median value of the median value in every window that lies in all 2N windows round the noise point. The pixel value will be retained for the non noise points. hherefore, we achieved noise removal and detail preservation. Experimental results indicate that the algorithm has better image detail preservation and strong denoising ability.

Key words: Vertical and horizontal windows relation, Salt and pepper noise, Multilevel median filter, Noise detection

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