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Robust Medical Image Watermarking Using Frequency Domain and Least Significant Bits Algorithms

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dc.contributor.author Elbaşı, Ersin
dc.contributor.author Kaya, Volkan
dc.date.accessioned 2020-04-17T22:21:05Z
dc.date.available 2020-04-17T22:21:05Z
dc.date.issued 2018
dc.identifier.citation Kaya, Volkan; Elbasi, Ersin, "Robust Medical Image Watermarking Using Frequency Domain and Least Significant Bits Algorithms", Proceedings 2018 International Conference on Computing Sciences and Engineering, (2018). tr_TR
dc.identifier.uri http://hdl.handle.net/20.500.12416/3311
dc.description.abstract Watermarking and stenography are getting importance recently because of copyright protection and authentication. In watermarking we embed stamp, logo, noise or image to multimedia elements such as image, video, audio, animation, software and text. There are several works have been done in watermarking for different purposes. In this research work we used watermarking techniques to embed patient information into the medical magnetic resonance (MR) images. There are two methods have been used; frequency domain (Digital Wavelet Transform-DWT, Digital Cosine Transform-DCT and Digital Fourier Transform-DFT) and spatial domain (Least Significant Bits-LSB). Experimental results show that embedding in frequency domains resist against one group of attacks, and embedding in spatial domain is resist against another group of attacks. Peak Signal Noise Ratio (PSNR) and Similarity Ratio (SR) values are two measurement values for testing. This two values gives very promising result for information hiding in medical MR images. tr_TR
dc.language.iso eng tr_TR
dc.publisher IEEE tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.subject Watermarking tr_TR
dc.subject Medical Image tr_TR
dc.subject Frequency Domain tr_TR
dc.subject Least Significant Bits tr_TR
dc.subject Security tr_TR
dc.title Robust Medical Image Watermarking Using Frequency Domain and Least Significant Bits Algorithms tr_TR
dc.type conferenceObject tr_TR
dc.relation.journal Proceedings 2018 International Conference on Computing Sciences and Engineering (ICCSE) tr_TR
dc.contributor.department Çankaya Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü tr_TR


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