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dc.contributor.authorLee, I-Shien_US
dc.contributor.authorTsai, Wen-Hsiangen_US
dc.date.accessioned2014-12-08T15:09:12Z-
dc.date.available2014-12-08T15:09:12Z-
dc.date.issued2009-07-01en_US
dc.identifier.issn0031-3203en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.patcog.2009.01.014en_US
dc.identifier.urihttp://hdl.handle.net/11536/7019-
dc.description.abstractA new method for data hiding in grayscale images based on a human vision model with distortion-minimizing capabilities is proposed. Each of the eight bit planes of an input grayscale image is viewed as a binary image, into which message data are embedded horizontally. Two optimization techniques, namely, block pattern coding and dynamic programming, are proposed for image distortion minimization. Experimental results show good performs of the proposed method. (C) 2009 Elsevier Ltd. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectData hidingen_US
dc.subjectGrayscale imageen_US
dc.subjectHuman visual systemen_US
dc.subjectBlock pattern encodingen_US
dc.subjectDynamic programmingen_US
dc.titleData hiding in grayscale images by dynamic programming based on a human visual modelen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.patcog.2009.01.014en_US
dc.identifier.journalPATTERN RECOGNITIONen_US
dc.citation.volume42en_US
dc.citation.issue7en_US
dc.citation.spage1604en_US
dc.citation.epage1611en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000265365500034-
dc.citation.woscount15-
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