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A new efficient block matching data hiding method based on scanning order selection in medical images

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dc.creator Aydogan, Turgay
dc.creator Bayilmis, Cuneyt
dc.date 2016-12-31T21:00:00Z
dc.date.accessioned 2020-10-06T10:48:49Z
dc.date.available 2020-10-06T10:48:49Z
dc.identifier 9215b635-2ac7-4577-8185-d6bd8f8c93e8
dc.identifier 10.3906/elk-1506-189
dc.identifier https://avesis.sdu.edu.tr/publication/details/9215b635-2ac7-4577-8185-d6bd8f8c93e8/oai
dc.identifier.uri http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/66460
dc.description Digital technology and the widespread use of the Internet has increased the speeds at which digital data can be obtained and shared in daily life. In parallel to this, there are important concerns regarding the confidentiality of private data during data transmissions and the possibility that data might fall into the hands of third parties. Issues relating to data safety can also affect patients' medical images and other information relating to these images. In this study, we propose a new method based on block matching that can be used to hide the patient information in medical images. In this method, 8 scanning orders (6 of which are newly designed) are developed to provide high image quality. By diversifying the number of scanning orders, we aim to achieve the lowest number of bit changes. The performance of the developed method is measured using the number of bits subject to change, the peak signal-to-noise ratio and the mean structural similarity index measure image quality assessment metrics, and steganalysis attacks. The method we developed was found to be more effective in hiding data compared to the classical least significant bit method.
dc.language eng
dc.rights info:eu-repo/semantics/closedAccess
dc.title A new efficient block matching data hiding method based on scanning order selection in medical images
dc.type info:eu-repo/semantics/article


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