Medical Image Watermarking Technique for Accurate Tamper Detection in ROI and Exact Recovery of ROI

In telemedicine while transferring medical images tampers may be introduced. Before making any diagnostic decisions, the integrity of region of interest (ROI) of the received medical image must be verified to avoid misdiagnosis. In this paper, we propose a novel fragile block based medical image wat...

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Main Authors: R. Eswaraiah, E. Sreenivasa Reddy
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:International Journal of Telemedicine and Applications
Online Access:http://dx.doi.org/10.1155/2014/984646
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spelling doaj-4479158eb4134f6fa35de11bc84c3aae2020-11-24T22:34:59ZengHindawi LimitedInternational Journal of Telemedicine and Applications1687-64151687-64232014-01-01201410.1155/2014/984646984646Medical Image Watermarking Technique for Accurate Tamper Detection in ROI and Exact Recovery of ROIR. Eswaraiah0E. Sreenivasa Reddy1Department of Computer Science and Engineering, Acharya Nagarjuna University, Guntur 522510, Andhra Pradesh, IndiaDepartment of Computer Science and Engineering, Acharya Nagarjuna University, Guntur 522510, Andhra Pradesh, IndiaIn telemedicine while transferring medical images tampers may be introduced. Before making any diagnostic decisions, the integrity of region of interest (ROI) of the received medical image must be verified to avoid misdiagnosis. In this paper, we propose a novel fragile block based medical image watermarking technique to avoid embedding distortion inside ROI, verify integrity of ROI, detect accurately the tampered blocks inside ROI, and recover the original ROI with zero loss. In this proposed method, the medical image is segmented into three sets of pixels: ROI pixels, region of noninterest (RONI) pixels, and border pixels. Then, authentication data and information of ROI are embedded in border pixels. Recovery data of ROI is embedded into RONI. Results of experiments conducted on a number of medical images reveal that the proposed method produces high quality watermarked medical images, identifies the presence of tampers inside ROI with 100% accuracy, and recovers the original ROI without any loss.http://dx.doi.org/10.1155/2014/984646
collection DOAJ
language English
format Article
sources DOAJ
author R. Eswaraiah
E. Sreenivasa Reddy
spellingShingle R. Eswaraiah
E. Sreenivasa Reddy
Medical Image Watermarking Technique for Accurate Tamper Detection in ROI and Exact Recovery of ROI
International Journal of Telemedicine and Applications
author_facet R. Eswaraiah
E. Sreenivasa Reddy
author_sort R. Eswaraiah
title Medical Image Watermarking Technique for Accurate Tamper Detection in ROI and Exact Recovery of ROI
title_short Medical Image Watermarking Technique for Accurate Tamper Detection in ROI and Exact Recovery of ROI
title_full Medical Image Watermarking Technique for Accurate Tamper Detection in ROI and Exact Recovery of ROI
title_fullStr Medical Image Watermarking Technique for Accurate Tamper Detection in ROI and Exact Recovery of ROI
title_full_unstemmed Medical Image Watermarking Technique for Accurate Tamper Detection in ROI and Exact Recovery of ROI
title_sort medical image watermarking technique for accurate tamper detection in roi and exact recovery of roi
publisher Hindawi Limited
series International Journal of Telemedicine and Applications
issn 1687-6415
1687-6423
publishDate 2014-01-01
description In telemedicine while transferring medical images tampers may be introduced. Before making any diagnostic decisions, the integrity of region of interest (ROI) of the received medical image must be verified to avoid misdiagnosis. In this paper, we propose a novel fragile block based medical image watermarking technique to avoid embedding distortion inside ROI, verify integrity of ROI, detect accurately the tampered blocks inside ROI, and recover the original ROI with zero loss. In this proposed method, the medical image is segmented into three sets of pixels: ROI pixels, region of noninterest (RONI) pixels, and border pixels. Then, authentication data and information of ROI are embedded in border pixels. Recovery data of ROI is embedded into RONI. Results of experiments conducted on a number of medical images reveal that the proposed method produces high quality watermarked medical images, identifies the presence of tampers inside ROI with 100% accuracy, and recovers the original ROI without any loss.
url http://dx.doi.org/10.1155/2014/984646
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AT esreenivasareddy medicalimagewatermarkingtechniqueforaccuratetamperdetectioninroiandexactrecoveryofroi
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