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  1. National Taiwan Ocean University Research Hub
  2. 電機資訊學院
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Please use this identifier to cite or link to this item: http://scholars.ntou.edu.tw/handle/123456789/23783
DC FieldValueLanguage
dc.contributor.author李孟書en_US
dc.contributor.authorShyh‐Kuang Uengen_US
dc.contributor.authorCho‐Li Yenen_US
dc.date.accessioned2023-05-08T02:20:54Z-
dc.date.available2023-05-08T02:20:54Z-
dc.date.issued2011-10-
dc.identifier.urihttp://scholars.ntou.edu.tw/handle/123456789/23783-
dc.description.abstractIn this paper, a novel speckle reduction method is proposed for ultrasound images. This denoising method is designed to preserve both the edges and structural details of the image. Speckle noise is suppressed, without smearing the edges, by extending the smoothness of the image in the wavelet‐based Hölder spaces. A comparison of smoothing speckles with the other well known methods is provided via the size of Besov norm. We validate the proposed method using synthetic data and simulated ultrasound images. Experiments demonstrate the performance improvement of the proposed method over other state‐of‐the‐art methods in terms of image quality and edge preservation indices.en_US
dc.language.isoen_USen_US
dc.publisherAIP Conference Proceedingsen_US
dc.titleSpeckle Suppression with Edges Preservation for Ultrasound Imagesen_US
dc.typeconference paperen_US
dc.identifier.doi10.1063/1.3596626-
item.openairecristypehttp://purl.org/coar/resource_type/c_5794-
item.cerifentitytypePublications-
item.languageiso639-1en_US-
item.fulltextno fulltext-
item.grantfulltextnone-
item.openairetypeconference paper-
crisitem.author.deptCollege of Electrical Engineering and Computer Science-
crisitem.author.deptDepartment of Computer Science and Engineering-
crisitem.author.deptNational Taiwan Ocean University,NTOU-
crisitem.author.parentorgNational Taiwan Ocean University,NTOU-
crisitem.author.parentorgCollege of Electrical Engineering and Computer Science-
Appears in Collections:資訊工程學系
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