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小波阈值技术在图像降噪中的应用研究
引用本文:涂丹,沈建军,沈振康.小波阈值技术在图像降噪中的应用研究[J].国防科技大学学报,1999,21(2):42-45.
作者姓名:涂丹  沈建军  沈振康
作者单位:国防科技大学电子技术系
摘    要:通过对图像的小波变换系数进行阈值操作,可以有效降低噪声,同时又较好地保持图像细节。在文章中详细讨论了这种小波阈值降噪技术,并给出了在此种降噪方法中阈值选取的几种方法。由实验结果可以知道此种小波阈值方法是一种有效的图像降噪方法。

关 键 词:小波变换,阈值操作,图像降噪,图像细节
收稿时间:1998/10/3 0:00:00

The Application of Wavelet Thresholding Method in Image De-Noise
Tu Dan,Shen Jianjun and Shen Zhenkang.The Application of Wavelet Thresholding Method in Image De-Noise[J].Journal of National University of Defense Technology,1999,21(2):42-45.
Authors:Tu Dan  Shen Jianjun and Shen Zhenkang
Affiliation:Department of Electronic Technology, NUDT, Changsha, 410073;Department of Electronic Technology, NUDT, Changsha, 410073;Department of Electronic Technology, NUDT, Changsha, 410073
Abstract:In this paper,the application of wavelet transform in image de noise is studied.Via thresholding operation in wavelet domain of image,it can reduce noise effectively,and at the same time,with a little loss of image detail.Detail discussion of this wavelet thresholding method is presented in this paper,and some methods of threshold selection are also given.It has been proved that the wavelet thresholding technology is an effective method for image de noise.
Keywords:wavelet transform  thresholding  image de  noise  image detail  
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