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...
Main Authors: | , |
---|---|
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 |
id |
doaj-4479158eb4134f6fa35de11bc84c3aae |
---|---|
record_format |
Article |
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 |
work_keys_str_mv |
AT reswaraiah medicalimagewatermarkingtechniqueforaccuratetamperdetectioninroiandexactrecoveryofroi AT esreenivasareddy medicalimagewatermarkingtechniqueforaccuratetamperdetectioninroiandexactrecoveryofroi |
_version_ |
1725725343780700160 |