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基于邻域统计的图像消噪方法
引用本文:周大鹏,王礼平.基于邻域统计的图像消噪方法[J].现代电子技术,2006,29(2):34-36.
作者姓名:周大鹏  王礼平
作者单位:中南民族大学,电子信息工程学院,湖北,武汉,430074
摘    要:中值滤波是一种在去除噪声的同时能较好保护图像边缘细节的非线性滤波技术。介绍了中值滤波及其改进算法、分析了中值滤波的属性、提出了一种基于邻域统计和奇异点检测的中值滤波器的改进算法。计算机模拟实验结果表明:该改进算法能在有效地去除噪声的同时,较好地保护图像细节,较标准中值滤波器和维纳滤波器具有更优良的滤波性能。

关 键 词:图像处理  中值滤波  均值滤波  邻域统计  奇异点检测
文章编号:1004-373X(2006)02-034-03
收稿时间:2005-09-22
修稿时间:2005年9月22日

An Improved Image Denoising Method Based on Neighborhood Statistic Information
ZHOU Dapeng,WANG Liping.An Improved Image Denoising Method Based on Neighborhood Statistic Information[J].Modern Electronic Technique,2006,29(2):34-36.
Authors:ZHOU Dapeng  WANG Liping
Affiliation:College of Electronic and Information Engineering,South-central University for Nationalities,Wuhan,430074,China
Abstract:Median filter technology is a nonlinear technology that can preserve image edge when denoising.A new image denoising algorithm based on neighborhood statistic information and singular point detection is mentioned in this paper by researching of the character of the median filter.Results of computer simulation experiments on the improved median filter show that this method can denoise more effectively than the standard median filter and wiener filter while preserving fine details very well.
Keywords:image processing  median filtering  mean filtering  neighborhood statistic information  algorithm singular point detection
本文献已被 CNKI 维普 万方数据 等数据库收录!
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