首页 | 本学科首页   官方微博 | 高级检索  
     检索      

一种基于中值滤波和小波变换的图像去噪算法研究
引用本文:万小红.一种基于中值滤波和小波变换的图像去噪算法研究[J].吉林林学院学报,2012(3):352-355.
作者姓名:万小红
作者单位:[1]广西师范大学计算机科学与信息工程学院,广西桂林541004 [2]运城学院公共计算机教学部,山西运城044000
摘    要:针对同时含有脉冲噪声和高斯噪声的混合含噪图像特点,结合自适应中值滤波和小波变换的阈值滤波的各自优点,提出了一种基于中值滤波和小波变换阈值去噪相结合的图像去噪方法,即先对图像进行自适应中值滤波去除脉冲噪声,然后利用小波变换去除剩余的高斯噪声.实验表明:该方法能在有效去除混合噪声的同时,较好地保持边缘和细节信息.

关 键 词:中值滤波  自适应中值滤波  小波变换  硬阈值  软阈值

Image Denoising Based on Wavelet Transform and Median Filter
Authors:WAN Xiao-hong
Institution:WAN Xiao-hong ( 1. School of Computer Science & Information Technology, Guangxi Normal University, Guilin 541004, China; 2. Public Computer Teaching Department of Yuncheng University, Yuncheng 044000, China)
Abstract:As for the features of the noise image mixed with the impulse noise and the Gaussian noise, combined with the respective merits of the adaptive median filter and wavelet transform threshold denoising, a kind of denoising method based on the combination of the median filter and wavelet threshold denoising is put forward. Firstly,remove the impulsive noise in the adaptive median filter, and then removes the Gaussian noise by using wavelet transform. Experiments show that this method can effectively remove the mixture noise. At the same time, it also can maintain the edge details of the information.
Keywords:median filter  adaptive median filter  wavelet transform  hard-threshold  soft-threshold
本文献已被 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号