A robust medical image watermarking against salt and pepper noise for brain MRI images

The ever-growing numbers of medical digital images and the need to share them among specialists and hospitals for better and more accurate diagnosis require that patients’ privacy be protected. During the transmission of medical images between hospitals or specialists through the network, the main p...

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Main Authors: Mousavi, S. M., Naghsh, A., Manaf, A. A., Abu Bakar, S. A. R.
Format: Article
Published: Springer New York LLC 2017
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Online Access:http://eprints.utm.my/id/eprint/76978/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84973165226&doi=10.1007%2fs11042-016-3622-9&partnerID=40&md5=b263cc0d6f275da28f1cf8afb9f8a4ba
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spelling my.utm.769782018-04-30T14:30:32Z http://eprints.utm.my/id/eprint/76978/ A robust medical image watermarking against salt and pepper noise for brain MRI images Mousavi, S. M. Naghsh, A. Manaf, A. A. Abu Bakar, S. A. R. TK Electrical engineering. Electronics Nuclear engineering The ever-growing numbers of medical digital images and the need to share them among specialists and hospitals for better and more accurate diagnosis require that patients’ privacy be protected. During the transmission of medical images between hospitals or specialists through the network, the main priority is to protect a patient’s documents against any act of tampering by unauthorised individuals. Because of this, there is a need for medical image authentication scheme to enable proper diagnosis on patient. In addition, medical images are also susceptible to salt and pepper impulse noise through the transmission in communication channels. This noise may also be intentionally used by the invaders to corrupt the embedded watermarks inside the medical images. A common drawback of existing watermarking methods is their weakness against salt and pepper noise. The research carried out in this work addresses the issue of designing a new watermarking method that can withstand high density of salt and pepper noise for brain MRI images. For this purpose, combination of a spatial domain watermarking method, channel coding and noise filtering schemes are used. The region of non-interest (RONI) of MRI images from five different databases are used as embedding area and electronic patient record (EPR) is considered as embedded data. The quality of watermarked image is evaluated using Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index (SSIM), and the accuracy of the extracted watermark is assessed in terms of Bit Error Rate (BER). Springer New York LLC 2017 Article PeerReviewed Mousavi, S. M. and Naghsh, A. and Manaf, A. A. and Abu Bakar, S. A. R. (2017) A robust medical image watermarking against salt and pepper noise for brain MRI images. Multimedia Tools and Applications, 76 (7). pp. 10313-10342. ISSN 1380-7501 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84973165226&doi=10.1007%2fs11042-016-3622-9&partnerID=40&md5=b263cc0d6f275da28f1cf8afb9f8a4ba DOI:10.1007/s11042-016-3622-9
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Mousavi, S. M.
Naghsh, A.
Manaf, A. A.
Abu Bakar, S. A. R.
A robust medical image watermarking against salt and pepper noise for brain MRI images
description The ever-growing numbers of medical digital images and the need to share them among specialists and hospitals for better and more accurate diagnosis require that patients’ privacy be protected. During the transmission of medical images between hospitals or specialists through the network, the main priority is to protect a patient’s documents against any act of tampering by unauthorised individuals. Because of this, there is a need for medical image authentication scheme to enable proper diagnosis on patient. In addition, medical images are also susceptible to salt and pepper impulse noise through the transmission in communication channels. This noise may also be intentionally used by the invaders to corrupt the embedded watermarks inside the medical images. A common drawback of existing watermarking methods is their weakness against salt and pepper noise. The research carried out in this work addresses the issue of designing a new watermarking method that can withstand high density of salt and pepper noise for brain MRI images. For this purpose, combination of a spatial domain watermarking method, channel coding and noise filtering schemes are used. The region of non-interest (RONI) of MRI images from five different databases are used as embedding area and electronic patient record (EPR) is considered as embedded data. The quality of watermarked image is evaluated using Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index (SSIM), and the accuracy of the extracted watermark is assessed in terms of Bit Error Rate (BER).
format Article
author Mousavi, S. M.
Naghsh, A.
Manaf, A. A.
Abu Bakar, S. A. R.
author_facet Mousavi, S. M.
Naghsh, A.
Manaf, A. A.
Abu Bakar, S. A. R.
author_sort Mousavi, S. M.
title A robust medical image watermarking against salt and pepper noise for brain MRI images
title_short A robust medical image watermarking against salt and pepper noise for brain MRI images
title_full A robust medical image watermarking against salt and pepper noise for brain MRI images
title_fullStr A robust medical image watermarking against salt and pepper noise for brain MRI images
title_full_unstemmed A robust medical image watermarking against salt and pepper noise for brain MRI images
title_sort robust medical image watermarking against salt and pepper noise for brain mri images
publisher Springer New York LLC
publishDate 2017
url http://eprints.utm.my/id/eprint/76978/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84973165226&doi=10.1007%2fs11042-016-3622-9&partnerID=40&md5=b263cc0d6f275da28f1cf8afb9f8a4ba
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score 13.211869