[1]颜兵 王金鹤 赵静.基于均值滤波和小波变换的图像去噪技术研究[J].计算机技术与发展,2011,(02):51-53.
 YAN Bing,WANG Jin-he,ZHAO Jing.Research of Image De-noising Technology Based on Mean Filtering and Wavelet Transformation[J].,2011,(02):51-53.
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基于均值滤波和小波变换的图像去噪技术研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2011年02期
页码:
51-53
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
Research of Image De-noising Technology Based on Mean Filtering and Wavelet Transformation
文章编号:
1673-629X(2011)02-0051-03
作者:
颜兵 王金鹤 赵静
青岛理工大学计算机工程学院
Author(s):
YAN BingWANG Jin-heZHAO Jing
School of Computer Engineering,Qingdao Technological University
关键词:
图像噪声均值滤波小波变换去噪
Keywords:
Image noise mean filtering wavelet transformation de-noising
分类号:
TN911.73
文献标志码:
A
摘要:
采用均值滤波和小波变换相结合的图像去噪方法是先将含噪图像进行小波分解,在小波域中,选取适当的阈值对小波系数进行处理,然后对图像信号进行局部重构至第一层,并采用不同的模板对第一层的各细节子图像进行均值滤波,最后将低频近似图像与均值滤波后高频细节图像合成得到去噪后的图像。这种方法与全局Donoho软、硬阈值小波去噪方法和Birge-Massart策略软、硬阈值小波去噪方法相比,其去噪效果更为明显。它在降低了图像的噪声的同时,又尽可能地保留图像的细节,且图像更加平滑。仿真实验证明,该方法是一种有效的图像去噪方法
Abstract:
A method of image de-noising technology based on the mean filtering and wavelet transformation is proposed.Firstly noised-image was decomposed by wavelet transformation and the wavelet parameters were processed using reasonable threshold value in the domain of wavelet.Then the image can be reconstructed correctly to the first layer and according to respective characteristics every sub-band images were denoised by different filter templates.Lastly denoised-image was obtained by composing the three high frequency detail images with mean filtering and low frequency approximation image.Compared with the wavelet de-noising methods of global Donoho soft,hard threshold and the wavelet de-noising methods of Birge-Massart strategy soft,hard threshold,the de-noising effect of this way is more obvious.It not only reduces the noise of the image,but also retains the detail of the image,and the image looks more smoother.The experiment proves this method is an effect way of de-noising image

相似文献/References:

[1]王峰 王浩 王诗兵 王秀友.一种新型的混合滤波器的设计与实现[J].计算机技术与发展,2007,(06):107.
 WANG Feng,WANG Hao,WANG Shi-bing,et al.Design and Realization of a New Mix Filter[J].,2007,(02):107.
[2]吴春香,张建明.无线感知网络中动作识别的滤波算法[J].计算机技术与发展,2018,28(05):86.[doi:10.3969/j.issn.1673-629X.2018.05.020]
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备注/Memo

备注/Memo:
山东省教育科技计划项目(J08LJ64)颜兵(1982-),女,山东泰安人,硕士研究生,研究方向为图像处理;王金鹤,副教授,博士,研究方向为计算机图形图像处理,计算机视觉等
更新日期/Last Update: 1900-01-01