PIXEL VALUE DIFFERENCING AND MODULUS FUNCTION METHOD FOR EMBEDDED MESSAGE IN DIGITAL IMAGES

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dc.contributor.authorZonyfar, Candra
dc.contributor.authorBaihaqi, Kiki Ahmad
dc.contributor.authorPertiwi, Annisa Bela
dc.date.accessioned2021-02-15T05:17:42Z
dc.date.available2021-02-15T05:17:42Z
dc.date.issued2020
dc.description.abstractImage steganography is technique hiding messages into digital images so that secret message unvisually. This research discusses of steganography apply by modulus function algorithm and pixel value differencing (PVD) algorithm. We carried out public datasets image 256x256 and 512x512 constituent. Messages could be embedded in the form of text characters of a certain length. Modulus function and pixel value differencing algorithm manages to hide the message so that no change is seen between the cover object and the cross-sectional image. This research was proven to be successful in the process of recovering secret messages. Evaluation were made using peak signal to noise ratio, mean square error, normalized cross correlation and structural content. From the experimental results, measurement value is based on the level of similarity between cover image and stego object with modulus function method is better with an average normalized cross correlation and structural content 1.0000 and 0.999543 respectively.en_US
dc.identifier.issn1475-7192
dc.identifier.urihttp://repository.widyatama.ac.id/xmlui/handle/123456789/12488
dc.language.isoenen_US
dc.publisherInternational Journal of Psychosocial Rehabilitation, Vol. 24, Issue 1en_US
dc.subjectSteganography, Pixel Value Differencing, Modulus Function, Peak Signal to Noise ratio, Mean Square Error, Normalized Cross Correlation, Structural Contenten_US
dc.titlePIXEL VALUE DIFFERENCING AND MODULUS FUNCTION METHOD FOR EMBEDDED MESSAGE IN DIGITAL IMAGESen_US
dc.typeArticleen_US
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