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Article: Total variation wavelet-based medical image denoising

TitleTotal variation wavelet-based medical image denoising
Authors
Issue Date2006
Citation
International Journal of Biomedical Imaging, 2006, v. 2006, article no. 89095 How to Cite?
AbstractWe propose a denoising algorithm for medical images based on a combination of the total variation minimization scheme and the wavelet scheme. We show that our scheme offers effective noise removal in real noisy medical images while maintaining sharpness of objects. More importantly, this scheme allows us to implement an effective automatic stopping time criterion. Copyright © 2006 Y. Wang and H. Zhou.
Persistent Identifierhttp://hdl.handle.net/10722/363713
ISSN
2023 Impact Factor: 3.3
2023 SCImago Journal Rankings: 0.709

 

DC FieldValueLanguage
dc.contributor.authorWang, Yang-
dc.contributor.authorZhou, Haomin-
dc.date.accessioned2025-10-10T07:48:48Z-
dc.date.available2025-10-10T07:48:48Z-
dc.date.issued2006-
dc.identifier.citationInternational Journal of Biomedical Imaging, 2006, v. 2006, article no. 89095-
dc.identifier.issn1687-4188-
dc.identifier.urihttp://hdl.handle.net/10722/363713-
dc.description.abstractWe propose a denoising algorithm for medical images based on a combination of the total variation minimization scheme and the wavelet scheme. We show that our scheme offers effective noise removal in real noisy medical images while maintaining sharpness of objects. More importantly, this scheme allows us to implement an effective automatic stopping time criterion. Copyright © 2006 Y. Wang and H. Zhou.-
dc.languageeng-
dc.relation.ispartofInternational Journal of Biomedical Imaging-
dc.titleTotal variation wavelet-based medical image denoising-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1155/IJBI/2006/89095-
dc.identifier.scopuseid_2-s2.0-33749510075-
dc.identifier.volume2006-
dc.identifier.spagearticle no. 89095-
dc.identifier.epagearticle no. 89095-
dc.identifier.eissn1687-4196-

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