首页 | 本学科首页   官方微博 | 高级检索  
     

一种新的形态中值小波图像去噪方法
引用本文:龙华,涂亚庆. 一种新的形态中值小波图像去噪方法[J]. 后勤工程学院学报, 2011, 27(2): 86-89,96. DOI: 10.3969/j.issn.1672-7843.2011.02.016
作者姓名:龙华  涂亚庆
作者单位:后勤工程学院,后勤信息工程系,重庆,401311
基金项目:国家自然科学基金资助项目
摘    要:图像去噪是图像预处理中一项重要环节.针对线性小波分析在图像去噪中会丢失一些细节信息这一缺点,利用数学形态学算子的非线性特征,构建了一种非线性的可用于灰度图像处理的形态中值小波,并应用于图像去噪.对比实验结果表明,该方法比线性小波去噪方法具有更好的去噪性能,图像细节信息损失更小.

关 键 词:图像去噪  线性小波  数学形态学  形态中值小波

A New Method of Image Denoising Based on Morphological Median Wavelet
LONG Hua,TU Ya-qing. A New Method of Image Denoising Based on Morphological Median Wavelet[J]. Journal of Logistical Engineering University, 2011, 27(2): 86-89,96. DOI: 10.3969/j.issn.1672-7843.2011.02.016
Authors:LONG Hua  TU Ya-qing
Affiliation:(Dept.of Logistical Information Engineering,LEU,Chongqing 401311,China)
Abstract:Image denoising is one of the most important steps in image pretreatment.Aiming at the disadvantage of information loss in detailed image by the linear wavelet denoising,a nonlinear morphological median wavelet for gray image processing based on nonlinear character of mathematical morphological operator is constructed.This morphological median wavelet is applied to image denoising. Experimental results show that the morphological median wavelet is of better denoising performance and less information loss in detailed image.
Keywords:image denoising  linear wavelet  mathematical morphology  morphological median wavelet
本文献已被 CNKI 维普 万方数据 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