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基于细节保留的椒盐噪声自适应滤波算法

Salt&Pepper Noise Adaptive Filtering Algorithm Based On Detail Preserving

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摘要

针对灰度图像中椒盐噪声的特点,提出了一种更加精确的噪声检测方法:该方法利用滤波窗口内像素点灰度值的不同,将受椒盐噪声污染的图像中像素点划分为噪声点,疑似噪声点和信号点。通过设定阈值,并参考相邻像素点的相关性来进一步区分疑似噪声点,最终建立噪声标记矩阵。对于被标记的噪声点,采用自适应滤波算法,保留更多的图像细节。仿真结果表明,该算法在除去噪声点的同时,对于边缘细节也有非常好的保护作用

Abstract

According to the characteristics of salt and pepper noise in gray-scale image, a more accurate noise detection method is proposed. From the difference of pixel gray value in filtering window, each pixel is classified to be signal pixel, noise pixel and possible noise. By setting the threshed value and considering the correlativity of adjacent pixels, possible noise pixels are subdivided into noise pixels and signal pixels, and the noise matrix is eventually established. For the marked noise points, using adaptive filtering algorithm, the restored image can keep more details. Simulation results show that the results of salt and pepper noise filtering are improved and the detail-preserving are also greatly improved.

Newport宣传-MKS新实验室计划
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中图分类号:TN916.73

基金项目:“十一五”预研资助项目

收稿日期:2010-01-15

修改稿日期:--

网络出版日期:0001-01-01

作者单位    点击查看

李晓龙:海军工程大学电子工程学院,湖北武汉430033
王江安:海军工程大学电子工程学院,湖北武汉430033
吴荣华:海军工程大学电子工程学院,湖北武汉430033

备注:李晓龙(1985-),男,硕士研究生,主要研究方

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引用该论文

LI Xiao-long,WANG Jiang-an,WU Rong-hua. Salt&Pepper Noise Adaptive Filtering Algorithm Based On Detail Preserving[J]. Infrared Technology, 2010, 32(3): 129-132

李晓龙,王江安,吴荣华. 基于细节保留的椒盐噪声自适应滤波算法[J]. 红外技术, 2010, 32(3): 129-132

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