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dc.contributor.authorAbdallah, Chaouki T.
dc.contributor.authorHeileman, Greg L.
dc.contributor.authorPerez-Gonzalez, Fernando
dc.date.accessioned2012-03-23T23:27:22Z
dc.date.available2012-03-23T23:27:22Z
dc.date.issued2007-09-16
dc.identifier.citationIEEE International Conference on Image Processing, 2007. ICIP 2007: 405-408en_US
dc.identifier.issn1522-4880
dc.identifier.urihttp://hdl.handle.net/1928/20198
dc.descriptionDigital Object Identifier: 10.1109/ICIP.2007.4378977en_US
dc.description.abstractWe present a generalization of Benford’s law for the first significant digit. This generalization is based on keeping two terms of the Fourier expansion of the probability density function of the data in the modular logarithmic domain. We prove that images in the Discrete Cosine Transform domain closely follow this generalization. We use this property to propose an application in image steganalysis, namely, detecting that a given image carries a hidden message.en_US
dc.description.sponsorshipIEEEen_US
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.subjectDCTen_US
dc.subjectFourier seriesen_US
dc.subjectsetaganalysisen_US
dc.titleBENFORD’S LAW IN IMAGE PROCESSINGen_US
dc.typeArticleen_US


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