计算机与现代化Issue(11)：70-73,77,5.DOI:10.3969/j.issn.1006-2475.2012.11.019
一种去除椒盐噪声的自适应极值中值滤波算法
An Adaptive Extremum and Median Filtering Algorithm for Salt and Pepper Noise
摘要
Abstract
In order to preserve more details in an image while removing salt and pepper noise, an adaptive extremum and median filtering algorithm is proposed, according to the feature of salt and pepper noise. The size of the filtering window is adjusted automatically by detecting the presence of signal points in the window. Max-Min operator is used as the noise detector and a suitable threshold is chosen to identify the noises from the pixels which are in the center of the window and the gray value is equal to the maximum gray value or the minimum gray value of the window. Then filter outs the detected noise with the median value of the gray value of all signal points in the window, and outputs the signal points directly without changes. The gray value of the pixels in the center of window which exceeds the maximum window is replaced with the mean of the gray value of neighboring four pixels. Simulation results demonstrate the validity of the algorithm, especially when the density is high.关键词
自适应极值中值滤波/噪声检测/阈值Key words
adaptive extremum and median filtering/ noise detection/ threshold分类
信息技术与安全科学引用本文复制引用
曾宪佑,黄佐华,周进朝,张勇..一种去除椒盐噪声的自适应极值中值滤波算法[J].计算机与现代化,2012,(11):70-73,77,5.基金项目
广东省科技计划项目(C60109,2006B12901020) （C60109,2006B12901020）
