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Authentication and recovery for wavelet-based semifragile watermarking

dc.citation.epageen_US
dc.citation.issue6en_US
dc.citation.volume47en_US
dc.citation.woscount5
dc.contributor.authorTsai, Min-Jenen_US
dc.contributor.authorChien, Chih-Chengen_US
dc.contributor.department資訊管理與財務金融系 註:原資管所+財金所zh_TW
dc.contributor.departmentDepartment of Information Management and Financeen_US
dc.date.accessioned2014-12-08T15:11:25Z
dc.date.available2014-12-08T15:11:25Z
dc.date.issued2008-06-01en_US
dc.description.abstractWe propose a novel image authentication and recovery scheme based on discrete wavelet transform (DWT). By using the property of a DWT multiresolution structure, we generate a semifragile watermark from low-frequency bands and embed the recovery information into the high-frequency bands based on the human visual system (HVS) approach. The image authentication system is able to locate precisely any malicious alteration made to the image and restore the altered or destroyed regions based on the recovery mechanism. Therefore, the requirements of ownership protection and tampering detection of digital right management (DRM) are met, and the legal usage of digital content is available. In addition, robustness to mild modifications like JPEG compression and channel additive white Gaussian noise (AWGN) is also achieved with high recovery image quality. (C) 2008 Society of Photo-Optical Instrumentation Engineers.en_US
dc.identifier.doi10.1117/1.2947580en_US
dc.identifier.issn0091-3286en_US
dc.identifier.journalOPTICAL ENGINEERINGen_US
dc.identifier.urihttp://dx.doi.org/10.1117/1.2947580en_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/8760
dc.identifier.wosnumberWOS:000257884800028
dc.language.isoen_USen_US
dc.subjectauthenticationen_US
dc.subjectdigital right managementen_US
dc.subjecthuman vision systemen_US
dc.subjectsemifragile watermarkingen_US
dc.subjecttamper detectionen_US
dc.subjecttamper recoveryen_US
dc.titleAuthentication and recovery for wavelet-based semifragile watermarkingen_US
dc.typeArticleen_US

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