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A new approach for digital watermarking in medical images

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dc.contributor.advisor Uddin, Dr. Jia
dc.contributor.author Shoron, Shaekh Hasan
dc.contributor.author Islam, Monamy
dc.contributor.author Mondal, Biprojit
dc.date.accessioned 2018-06-10T05:11:27Z
dc.date.available 2018-06-10T05:11:27Z
dc.date.copyright 2017
dc.date.issued 2017-08-21
dc.identifier.other ID 13301011
dc.identifier.other ID 13301001
dc.identifier.other ID 13101193
dc.identifier.uri http://hdl.handle.net/10361/10274
dc.description This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2017. en_US
dc.description Cataloged from PDF version of thesis.
dc.description Includes bibliographical references (pages 29-30).
dc.description.abstract Security and hiding personal data of medical image is very critical issue in transferring medical image data from one medical center to another .In this paper, a new approach for Digital Watermarking on Medical images is proposed which worked on various requirements such as robustness and imperceptibility. In this model, image enhancement was done by SMQT based on OTSU, segmentation of the image is performed by OTSU thresholding. Then Discrete Wavelet Transform (DWT) and IDWT is used to embed and extract the watermark on and from the host image. To evaluate the performance of the proposed model, numerous attacks were performed and measured using PSNR, MSE, and CC. en_US
dc.description.statementofresponsibility Shaekh Hasan Shoron
dc.description.statementofresponsibility Monamy Islam
dc.description.statementofresponsibility Biprojit Mondal
dc.format.extent 30 pages
dc.language.iso en en_US
dc.publisher BRAC Univeristy en_US
dc.rights BRAC University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subject Digital watermark en_US
dc.subject Correlation coefficient en_US
dc.title A new approach for digital watermarking in medical images en_US
dc.type Thesis en_US
dc.contributor.department Department of Computer Science and Engineering, BRAC University
dc.description.degree B. Computer Science and Engineering


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