一种图像椒盐噪声自适应滤除方法  

An Auto-adaptive Salt & Pepper Noise Image De-noising Algorithm

作　　者：武英[1] 

机构地区：[1]南京晓庄学院,江苏南京211171

出　　处：《微电子学与计算机》2009年第1期148-150,共3页Microelectronics & Computer

摘　　要：在已有极值中值的滤波算法的基础上,提出一种自适应滤波算法.该算法对于不同椒盐噪声密度采用不同滤波方法,在噪声密度较低时,采用同时考虑灰度差值和空间距离的自适应权重函数进行滤波,在噪声密度较大时,扩大滤波窗口进行改进的中值滤波.实验证明,该算法在滤除椒盐噪声能力、细节保护能力方面均有较大提高.Based on the extremum median filter, an auto-adaptive image filtering algorithm is proposed. To different noise density use different algorithms. If the noise density is low, using an auto-adaptive weight filter based on both amplitude and spatial position. If the noise density is high, increase the size of filter window and filter the image with improved median filter. Experiments show that the results of salt ＆ pepper noise filtering and detail - preserving are greatly improved.

关 键 词：椒盐噪声 极值中值 自适应权值 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]