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一种新的基于多小波的图像去噪算法
引用本文:董卫军,周明全,耿国华. 一种新的基于多小波的图像去噪算法[J]. 计算机应用与软件, 2006, 23(4): 6-7,136
作者姓名:董卫军  周明全  耿国华
作者单位:西北大学计算机科学系,陕西,西安,710069;西北大学计算机科学系,陕西,西安,710069;西北大学计算机科学系,陕西,西安,710069
基金项目:中国科学院资助项目;国家科技攻关项目
摘    要:
图像去噪是最基本的图像处理技术,小波分析是目前国际上最新的时间.频率分析工具,是信号去噪的强有力处理工具。通过小波变换可以将交织在一起的混合信号分解成不同频率的块信号。多小波所拥有的对称性、正交性、有限支撑等重要特性弥补了单小波的不足。本文提出了一种新的图像去噪方法,该方法以多小波变换为基础。实验证明,具有很好的去噪效果。

关 键 词:多小波  图像去噪  小波变换
收稿时间:2004-08-11
修稿时间:2004-08-11

A NEW IMAGE DE-NOISING METHOD BASED ON MULTI-WAVELET
Dong Weijun,Zhou Mingquan,Geng Guohua. A NEW IMAGE DE-NOISING METHOD BASED ON MULTI-WAVELET[J]. Computer Applications and Software, 2006, 23(4): 6-7,136
Authors:Dong Weijun  Zhou Mingquan  Geng Guohua
Abstract:
Image de-noising is the most fundamental technique of image processing. Wavelet analysis is the latest international wide timefrequency analysis tool, is the most powerful tool for image de-nosing, through wavelet transform we can separate signals into the different distinct block signal which have the same frequency. Multi-wavelet has some very important properties such as orthogonality, symmetry, and short support,which makes up for the shortcoming of scalar wavelet. Propose a new image de-nosing method which based on multi-wavelet transform. The results show that the new method has an excellent de-nosing effect.
Keywords:Multi-wavelet Image de-nosing Wavelet transform
本文献已被 CNKI 维普 万方数据 等数据库收录!
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