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A Semi-Fragile Blind Digital Watermarking Technique for Medical Image File Authentication using Stationary Wavelet Transformation

by Tanmay Bhattacharya, Sirshendu Hore, S. R. Bhadra Chaudhuri
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 104 - Number 11
Year of Publication: 2014
Authors: Tanmay Bhattacharya, Sirshendu Hore, S. R. Bhadra Chaudhuri
10.5120/18245-9245

Tanmay Bhattacharya, Sirshendu Hore, S. R. Bhadra Chaudhuri . A Semi-Fragile Blind Digital Watermarking Technique for Medical Image File Authentication using Stationary Wavelet Transformation. International Journal of Computer Applications. 104, 11 ( October 2014), 8-13. DOI=10.5120/18245-9245

@article{ 10.5120/18245-9245,
author = { Tanmay Bhattacharya, Sirshendu Hore, S. R. Bhadra Chaudhuri },
title = { A Semi-Fragile Blind Digital Watermarking Technique for Medical Image File Authentication using Stationary Wavelet Transformation },
journal = { International Journal of Computer Applications },
issue_date = { October 2014 },
volume = { 104 },
number = { 11 },
month = { October },
year = { 2014 },
issn = { 0975-8887 },
pages = { 8-13 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume104/number11/18245-9245/ },
doi = { 10.5120/18245-9245 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:35:52.769669+05:30
%A Tanmay Bhattacharya
%A Sirshendu Hore
%A S. R. Bhadra Chaudhuri
%T A Semi-Fragile Blind Digital Watermarking Technique for Medical Image File Authentication using Stationary Wavelet Transformation
%J International Journal of Computer Applications
%@ 0975-8887
%V 104
%N 11
%P 8-13
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Electronically stored health information enhances resource sharing, help us to reduce the number of errors, speed up clinical communication and assist doctors in diagnosis and treatment. Medical image watermarking is a special type of watermarking technique where the watermarked medical images should not differ perceptually from the original images, because the diagnosis must not be affected due to the presence of watermark. This paper presents a new blind watermarking technique for medical image using Stationary Wavelet Transformation (SWT). In the proposed method multiple watermarks containing patient's information are embedded and original image is not needed for the extraction of those watermarks.

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Index Terms

Computer Science
Information Sciences

Keywords

SWT Pseudo Random Noise SNR ISWT.

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