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 | 8/21/2017 | |
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 | Cataloged from PDF version of thesis. | |
dc.description | Includes bibliographical references (pages 29-30). | |
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.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 | |