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基于MATLAB的数字图像小波变换算法比较
引用本文:耿妍,韦巍. 基于MATLAB的数字图像小波变换算法比较[J]. 广西大学学报(自然科学版), 2005, 0(Z2)
作者姓名:耿妍  韦巍
作者单位:广西大学计算机与电子信息学院 广西南宁530004
摘    要:小波变换是数字信号处理中非常有力的一种工具,本文通过阐述基于MATLAB的小波变换的软阈值 降噪方法,旨在展示小波变换在图像噪音消除方面的实际运用以及前景.通过使用傅立叶变换算法和小波变 换算法对同一幅图像进行降噪处理的比较,可以看出:小波变换的主要特点就是能够提供局部细化与分析的 功能,小波变换降噪算法具有很强的实用性.

关 键 词:小波变换  数字图像  降噪  阈值函数

Wavelet transform in image processing using MATLAB
GENG Yan,WEI Wei School of Computer,Electronics and Information,Guangxi University,Nanning ,China. Wavelet transform in image processing using MATLAB[J]. Journal of Guangxi University(Natural Science Edition), 2005, 0(Z2)
Authors:GENG Yan  WEI Wei School of Computer  Electronics  Information  Guangxi University  Nanning   China
Affiliation:GENG Yan,WEI Wei School of Computer,Electronics and Information,Guangxi University,Nanning 530004,China
Abstract:Wavelet transform is a very important digital signal processing method. It is emphasized on the wavelet theory and its application in image processing, aimed to show the application and foreground of the wavelet transform in the denoising of image field. By comparing the De-noise method of Fourier transform and Wavelet transform,we can find that the primary feature of wavelet analysis is to provide the part meticulous and analytic function and such de-noising method is strongly useful in practice and worth spreading.
Keywords:Wavelet transform  digital image  de-noise  threshold-function
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