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dc.contributor.authorUlutas, Mustafa
dc.contributor.authorNabiyev, Vastif V.
dc.contributor.authorUlutas, Guezin
dc.date.accessioned2020-06-21T15:15:09Z
dc.date.available2020-06-21T15:15:09Z
dc.date.issued2008
dc.identifier.isbn978-1-4244-1998-2
dc.identifier.urihttps://hdl.handle.net/20.500.12712/19493
dc.descriptionIEEE 16th Signal Processing and Communications Applications Conference -- APR 20-22, 2008 -- Aydin, TURKEYen_US
dc.descriptionWOS: 000261359200059en_US
dc.description.abstractHiding data in a medium such that it can not be perceived easily is called Steganography. Two of the most important performance metrics, of steganography are the embedding capacity and noticeability. Specific features of a cover image determine the amount of data to be embedded. A novel algorithm utilizing all pixels of a cover image and does not need any other information while decoding is proposed in this paper. The method computes intensity variance of 2x2 non overpapping subimages to decide the number of bits to use while encoding and decoding. Intensity variance of the subimage is computed after the dynamic range of the pixels are reduced by masking off increasing number of LSB's at every iteration. LSBs that result in less than 10 percent of variance change has been assumed to be insignificant in the variance computation and those bits are selected to embed data.en_US
dc.description.sponsorshipIEEEen_US
dc.language.isoturen_US
dc.publisherIeeeen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleSteganography Based on Reduced Dynamic Range Subimage Intensity Variationen_US
dc.typeconferenceObjecten_US
dc.contributor.departmentOMÜen_US
dc.identifier.startpage235en_US
dc.identifier.endpage+en_US
dc.relation.journal2008 Ieee 16Th Signal Processing, Communication and Applications Conference, Vols 1 and 2en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


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