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基于斜变换的小波设计及其应用
引用本文:荣伏梅,施保昌. 基于斜变换的小波设计及其应用[J]. 计算机工程与应用, 2007, 43(10): 27-30
作者姓名:荣伏梅  施保昌
作者单位:华中科技大学,数学系,武汉,430074;华中科技大学,数学系,武汉,430074
摘    要:本文根据Walsh变换与小波之间的联系,在斜变换的基础上提出了一种新的多进制多小波设计思想,改变了传统小波变换中滤波器设计方法的单一性和推导的复杂性,该滤波器组利用斜变换的快速算法生成简单方便。将该方法应用于图像去噪和图像压缩的实验中,实验结果证明该方法的去噪效果和压缩效果要优于传统的DWT,并且去噪效果还要优于文献[6]中提出的多进制多小波。

关 键 词:Walsh变换  斜变换  多进制多小波  图像去噪  图像压缩
文章编号:1002-8331(2007)10-0027-04
收稿时间:2006-08-14
修稿时间:2006-11-01

Wavelet designing based on slant transform and application
RONG Fu-mei,SHI Bao-chang. Wavelet designing based on slant transform and application[J]. Computer Engineering and Applications, 2007, 43(10): 27-30
Authors:RONG Fu-mei  SHI Bao-chang
Affiliation:Maths. Department,Huazhong University of Science and Technology,Wuhan 430074,China
Abstract:In the paper,we construct a kind of M-bond multiwavelet base on slant transform and the relationship between Walsh transform and wavelet.The filter banks of these M-bond multiwavelets are conveniently generated by the fast algorithms of slant transform,this method of designing the multiwaveleis filter banks is less oneness and complexity than the traditional method.We apply this kind of M-bond muhiwavelets to image denoising and image compressing,the result is more excellent than the traditional DWT and the result of the image denoising is better than the M-bond muhiwavelet which bring forward in [6].
Keywords:Walsh transform    slant transform   M-bond multiwavelet   image denoising   image compressing
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