采用脉冲宽度检测的自适应滤波算法  

An adaptive filtering algorithm with impulse width testing

作　　者：林其伟[1] 

机构地区：[1]华侨大学信息科学与工程学院,福建泉州362021

出　　处：《智能系统学报》2008年第6期548-551,共4页CAAI Transactions on Intelligent Systems

基　　金：福建省自然科学基金计划资助项目(A0610022);国务院侨办科研基金资助项目(06QZR03)

摘　　要：在对图像中干扰噪声模型分析的基础上,提出基于脉冲宽度和噪声模型检测的自适应噪声滤波算法,通过判定干扰噪声的脉冲宽度及分布密度来确定滤波器窗口的大小及类型,从而有效去除复合型干扰噪声.实验结果表明所提出的算法操作简单,对实际图像的处理效果优于一般常用噪声平滑滤波器的输出结果.An adaptive noise filtering algorithm was developed that uses impulse width and noise model detection. With this method, we determine the types and sizes of the windows of the noise filter by the impulse widths and their distribution densities, so that composite noise can be effectively removed from images and the detail of the image can be preserved. The algorithm has been tested with several images. Experimental results indicate that the proposed algorithm is easy to use and the output image quality of the proposed algorithm is superior to that of commonly used noise filters.

关 键 词：噪声模型 噪声密度 自适应 滤波 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构] TN911.73[自动化与计算机技术—计算机科学与技术]