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基于小波阈值的图像去噪算法研究
引用本文:董汉磊,舒云星. 基于小波阈值的图像去噪算法研究[J]. 电脑编程技巧与维护, 2014, 0(18): 90-91
作者姓名:董汉磊  舒云星
作者单位:洛阳理工学院计算机与信息工程系,河南洛阳,471000
摘    要:对基于小波阈值的图像去噪算法研究进行了深入的讨论,详细介绍了几种比较常用的小波阈值去噪算法。对于图像的小波分解和重构,详细介绍了其分解步骤和算法,分析了小波分解过程中层数的选取和小波重构图像的问题,并给出了一些选取依据;详细介绍了小波系数的处理过程以及不同处理方式的去噪原理;对小波变换阈值去噪的不同方法和原理进行了阐述。

关 键 词:图像去噪  小波变换  小波系数  阈值

The Method Based on the Wavelet Threshold Image Denoising
DONG Han-lei,SHU Yun-xing. The Method Based on the Wavelet Threshold Image Denoising[J]. Computer Programming Skills & Maintenance, 2014, 0(18): 90-91
Authors:DONG Han-lei  SHU Yun-xing
Affiliation:(Department of Computer and Information Engineering, Luoyang Institute of Science and Technology, He'nan Luoyang 471000, China)
Abstract:Based on the profound analysis on wavelet threshold image denoising, several classical wavelet denoising methods ate introduced in detail. For images of wavelet decomposition and reconstruction, detailing its decomposition steps and algo- rithms to analyze the problem of wavelet decomposition process of selecting the number of layers and wavelet reconstructed image and gives some selected basis.The principles and the algorithm of the relativity of the wavelet coefficient denoising method are introduced .Some key problem on denoising method based on wavelet threshold are discussed in detail.
Keywords:Image denoising  Wavelet Transforms  Wavelet coefficient  Threshold
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