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dc.contributor.authorLee, Che-Weien_US
dc.contributor.authorTsai, Wen-Hsiangen_US
dc.date.accessioned2014-12-08T15:23:15Z-
dc.date.available2014-12-08T15:23:15Z-
dc.date.issued2012-05-01en_US
dc.identifier.issn0091-3286en_US
dc.identifier.urihttp://dx.doi.org/057006en_US
dc.identifier.urihttp://hdl.handle.net/11536/16320-
dc.description.abstractA new blind pixel-level self-repairing grayscale image authentication method, which is optimal under a minimax criterion of image-distortion reduction, is proposed. By dividing the grayscale range into bins, a three-bit bin code which provides the double functions of tampering localization and data repairing is generated as the authentication signal for each pixel in the cover image. The optimality in choosing three bits of a pixel as the authentication signal under a minimax criterion of minimizing the total maximum distortion resulting from authentication signal embedding and tampered pixel repairing is proved. Experimental results show the effectiveness of the proposed method. (C) 2012 Society of Photo-Optical Instrumentation Engineers (SPIE). [DOI: 10.1117/1.OE.51.5.057006]en_US
dc.language.isoen_USen_US
dc.subjectfragile watermarkingen_US
dc.subjectgrayscale image authenticationen_US
dc.subjectimage tamperingen_US
dc.subjecttampering localizationen_US
dc.subjecttampered data repairingen_US
dc.titleOptimal pixel-level self-repairing authentication method for grayscale images under a minimax criterion of distortion reductionen_US
dc.typeArticleen_US
dc.identifier.doi057006en_US
dc.identifier.journalOPTICAL ENGINEERINGen_US
dc.citation.volume51en_US
dc.citation.issue5en_US
dc.citation.epageen_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000304615300039-
dc.citation.woscount2-
Appears in Collections:Articles


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