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一种改进的二进小波变换图像去噪方法
引用本文:韩丽萍,张文梅,尹王保.一种改进的二进小波变换图像去噪方法[J].计算机应用与软件,2006,23(4):23-24.
作者姓名:韩丽萍  张文梅  尹王保
作者单位:山西大学物理电子工程学院,山西,太原,030006
摘    要:本文在分析图像噪声消除与细节保持相矛盾的基础上,提出了一种改进的二进小波变换图像去噪方法。首先用自适应滤波多尺度边缘检测方法检测出图像的边缘;然后用二进小波变换去噪方法进行全局闯值去噪;最后将边缘图像嵌入到二进小波去噪后图像。实验结果表明,该方法不仅能够滤除图像的噪声,而且能够保持图像的边缘信息。

关 键 词:边缘检测  二进小波变换  图像去噪
收稿时间:07 21 2005 12:00AM
修稿时间:2005-07-21

AN IMPROVED DYADIC WAVELET TRANSFORM IMAGE DE-NOISING
Han Liping,Zhang Wenmei,Yin Wangbao.AN IMPROVED DYADIC WAVELET TRANSFORM IMAGE DE-NOISING[J].Computer Applications and Software,2006,23(4):23-24.
Authors:Han Liping  Zhang Wenmei  Yin Wangbao
Affiliation:College of Physical Electronics Engineering ,Shanxi University, Taiyuan Shanxi 030006, China
Abstract:An improved dyadic wavelet transform image de-noising method is proposed in this paper. At first, the edge of an image is detected with the method of adaptive filter sales for edge detection. Then, a global threshold is used in dyadic wavelet transform de-noising. Finally, the edge image is embedded into the de-noising image. The experimental results show that the algorithm can not only cancel image noise, but also can keep the edge information of image.
Keywords:Edge detection Dyadic wavelet transform Image de-noising
本文献已被 CNKI 维普 万方数据 等数据库收录!
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