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  1. National Taiwan Ocean University Research Hub
  2. 電機資訊學院
  3. 資訊工程學系
Please use this identifier to cite or link to this item: http://scholars.ntou.edu.tw/handle/123456789/23784
DC FieldValueLanguage
dc.contributor.author李孟書en_US
dc.contributor.authorDah-Jing Jwoen_US
dc.contributor.authorMu-Yen Chenen_US
dc.date.accessioned2023-05-08T02:24:49Z-
dc.date.available2023-05-08T02:24:49Z-
dc.date.issued2010-10-
dc.identifier.urihttp://scholars.ntou.edu.tw/handle/123456789/23784-
dc.description.abstractA structure-based image similarity measurement called DTWT-SSIM is presented. The main idea behind DTWT-SSIM is to combine the shift-invariance advantage of dual-tree wavelet transform (DTWT) with the structure-preserving property of the structural similarity metrics (SSIM). A series of experimental results show the improved measurement to be an effective and stable metric in the comparison of edge maps when small noise and distortion appear in the images.en_US
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.titleImages matching based on edge maps and wavelet transformen_US
dc.typeconference paperen_US
dc.identifier.doi10.1109/CISP.2010.5646920-
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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