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Image denoising using multi-scale thresholds method in the wavelet domain

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成果类型:
期刊论文、会议论文
作者:
Tian, Ming*;Wen, Hao;Zhou, Long;You, Xinge
通讯作者:
Tian, Ming
作者机构:
[You, Xinge; Tian, Ming; Wen, Hao] Huazhong Univ Sci & Technol, Elect & Informat Engn Dept, Wuhan, Peoples R China.
[Zhou, Long] Wuhan Polytech Univ, Dept Elect & Informat Engn, Wuhan, Peoples R China.
通讯机构:
[Tian, Ming] H
Huazhong Univ Sci & Technol, Elect & Informat Engn Dept, Wuhan, Peoples R China.
语种:
英文
关键词:
Image denoising;wavelet transform;wavelet thresholding method;Lipschitz exponent
期刊:
PROCEEDINGS OF THE 2010 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION
年:
2010
页码:
79-83
会议名称:
2010 International Conference on Wavelet Analysis and Pattern Recognition
会议论文集名称:
International Conference on Wavelet Analysis and Pattern Recognition
会议时间:
JUL 11-14, 2010
会议地点:
Qingdao, PEOPLES R CHINA
会议主办单位:
[Tian, Ming;Wen, Hao;You, Xinge] Huazhong Univ Sci & Technol, Elect & Informat Engn Dept, Wuhan, Peoples R China.^[Zhou, Long] Wuhan Polytech Univ, Dept Elect & Informat Engn, Wuhan, Peoples R China.
会议赞助商:
IEEE
出版地:
345 E 47TH ST, NEW YORK, NY 10017 USA
出版者:
IEEE
ISBN:
978-1-4244-6531-6
基金类别:
NSFCNational Natural Science Foundation of China (NSFC) [607731871, 60973154]; Ministry of Education, ChinaMinistry of Education, China [NCET-07-0338]
机构署名:
本校为其他机构
院系归属:
电气与电子工程学院
摘要:
Images often contain noise due to the capturing devices, environment and even human errors. For the image further processing, compression, fractal and so on, the image denoising is necessary. Wavelet analysis plays a very important role in the image denoising. In this paper, we improve the wavelet thresholding method by using multi-scale thresholds and a new thresholding function. Also, in case of large noise, a median filter is suggested to be used at last. Based on Lipschitz exponent and wavelet transform, we theoretically give the multi-scale thresholds. In order to obtain a better denoisin...

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