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Multi-scale sparse denoising model based on non-separable wavelet

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成果类型:
期刊论文、会议论文
作者:
Zeng, Wu*;Zhou, Long;Xu, Renhong;Li, Biao
通讯作者:
Zeng, Wu
作者机构:
[Zeng, Wu; Zhou, Long; Xu, Renhong; Li, Biao] Wuhan Polytech Univ, Dept Elect & Informat Engn, Wuhan 430023, Peoples R China.
通讯机构:
[Zeng, Wu] W
Wuhan Polytech Univ, Dept Elect & Informat Engn, Wuhan 430023, Peoples R China.
语种:
英文
关键词:
Image denosing;Multi-scale;Sparse representation;Non-separable wavelet;Model
期刊:
Proceedings 2014 IEEE International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2014
年:
2014
页码:
332-336
会议名称:
IEEE International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)
会议时间:
OCT 18-19, 2014
会议地点:
Huazhong Univ Sci & Technol, Wuhan, PEOPLES R CHINA
会议主办单位:
Huazhong Univ Sci & Technol
会议赞助商:
IEEE, IEEE Syst Man & Cybernet Soc, Univ Macau, Wuhan Assoc Sci & Technol
出版地:
345 E 47TH ST, NEW YORK, NY 10017 USA
出版者:
IEEE
ISBN:
978-1-4799-5353-0
机构署名:
本校为第一且通讯机构
院系归属:
电气与电子工程学院
摘要:
For the issue of image denoising, in order to avoid the traditional multi-scale sparse representation methods, which used blocks of different sizes as a base function to represent image, the non-separable wavelets were taken. Their advantages included revealing the multi-scale structure, depicting the texture structure under different scales, and separating different directions and different types of singularity structure in a certain extent. Based on non-separable wavelets, a multi-scale sparse denoising model in the wavelet domain was we established, and then a collaboration sparse model for...

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