Detection of alterations in watermarked medical images using Fast Fourier Transform and Complex-Valued Neural Network

Medical images contain diagnostic information which can be used for early detection of diseases. These images are watermarked in order to proof its integrity; not modified by unauthorized person, and to ascertain the authenticity, that is, ensuring that the image belong to the correct patient and...

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Main Authors:	Olanrewaju, R. F., Khalifa, Othman Omran, Hassan Abdalla Hashim, Aisha, Zeki, Akram M.
Format:	Conference or Workshop Item
Language:	English
Published:	2011
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/5921/ http://irep.iium.edu.my/5921/ http://irep.iium.edu.my/5921/ http://irep.iium.edu.my/5921/1/05937131.pdf

id	iium-5921
recordtype	eprints
spelling	iium-59212017-06-15T08:40:58Z http://irep.iium.edu.my/5921/ Detection of alterations in watermarked medical images using Fast Fourier Transform and Complex-Valued Neural Network Olanrewaju, R. F. Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha Zeki, Akram M. T Technology (General) Medical images contain diagnostic information which can be used for early detection of diseases. These images are watermarked in order to proof its integrity; not modified by unauthorized person, and to ascertain the authenticity, that is, ensuring that the image belong to the correct patient and emanates from the correct source. However, the current problem with the watermarking system used for medical images is distortion introduced during the patient data/information embedding. This factor has hindered proper detection and treatment. This paper proposed a distortion free algorithm based on Fast Fourier Transform and Complex Valued Neural Network (FFT-CVNN) that can be used for watermarking medical images. The qualities of the images were evaluated with both pixel and perceptual-based metrics. Results indicate that the host image and the watermarked image were perceptually indistinguishable and the tamper detector was able to detect any form of forgery or tampering in the watermarked image. 2011 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/5921/1/05937131.pdf Olanrewaju, R. F. and Khalifa, Othman Omran and Hassan Abdalla Hashim, Aisha and Zeki, Akram M. (2011) Detection of alterations in watermarked medical images using Fast Fourier Transform and Complex-Valued Neural Network. In: 4th International Conference on Mechatronics (ICOM 2011), 17-19 May, 2011, Kuala Lumpur, Malaysia. http://dx.doi.org/10.1109/ICOM.2011.5937131 doi:10.1109/ICOM.2011.5937131
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T Technology (General)
spellingShingle	T Technology (General) Olanrewaju, R. F. Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha Zeki, Akram M. Detection of alterations in watermarked medical images using Fast Fourier Transform and Complex-Valued Neural Network
description	Medical images contain diagnostic information which can be used for early detection of diseases. These images are watermarked in order to proof its integrity; not modified by unauthorized person, and to ascertain the authenticity, that is, ensuring that the image belong to the correct patient and emanates from the correct source. However, the current problem with the watermarking system used for medical images is distortion introduced during the patient data/information embedding. This factor has hindered proper detection and treatment. This paper proposed a distortion free algorithm based on Fast Fourier Transform and Complex Valued Neural Network (FFT-CVNN) that can be used for watermarking medical images. The qualities of the images were evaluated with both pixel and perceptual-based metrics. Results indicate that the host image and the watermarked image were perceptually indistinguishable and the tamper detector was able to detect any form of forgery or tampering in the watermarked image.
format	Conference or Workshop Item
author	Olanrewaju, R. F. Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha Zeki, Akram M.
author_facet	Olanrewaju, R. F. Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha Zeki, Akram M.
author_sort	Olanrewaju, R. F.
title	Detection of alterations in watermarked medical images using Fast Fourier Transform and Complex-Valued Neural Network
title_short	Detection of alterations in watermarked medical images using Fast Fourier Transform and Complex-Valued Neural Network
title_full	Detection of alterations in watermarked medical images using Fast Fourier Transform and Complex-Valued Neural Network
title_fullStr	Detection of alterations in watermarked medical images using Fast Fourier Transform and Complex-Valued Neural Network
title_full_unstemmed	Detection of alterations in watermarked medical images using Fast Fourier Transform and Complex-Valued Neural Network
title_sort	detection of alterations in watermarked medical images using fast fourier transform and complex-valued neural network
publishDate	2011
url	http://irep.iium.edu.my/5921/ http://irep.iium.edu.my/5921/ http://irep.iium.edu.my/5921/ http://irep.iium.edu.my/5921/1/05937131.pdf
first_indexed	2023-09-18T20:14:44Z
last_indexed	2023-09-18T20:14:44Z
_version_	1777407711876481024

Detection of alterations in watermarked medical images using Fast Fourier Transform and Complex-Valued Neural Network

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