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

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.

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Abstract

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.

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Additional Information:	4119/5921
Subjects:	T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Engineering
Depositing User:	Prof. Dr Othman O. Khalifa
Date Deposited:	11 Nov 2011 16:02
Last Modified:	29 Jul 2020 14:39
URI:	http://irep.iium.edu.my/id/eprint/5921

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