Distortion-free embedding in the optic disk of retina fundus images using complex-valued neural network

One of the downside of the current watermarking system is the inevitable distortion caused by data embedding. Some algorithms have been modified to produce a minimal distortion in the host image. however such small alterations may not be acceptable for medical images which are use for diagnosing and...

Full description

Bibliographic Details
Main Authors:	Olanrewaju, R. F., Khalifa, Othman Omran, Hassan Abdalla Hashim, Aisha, Aburas, Abdurazzag Ali, Zeki, Akram M.
Format:	Article
Language:	English
Published:	IDOSI Publication 2011
Subjects:	Q300 Cybernetics QA Mathematics
Online Access:	http://irep.iium.edu.my/18439/ http://irep.iium.edu.my/18439/ http://irep.iium.edu.my/18439/3/WASJ_published.pdf

id	iium-18439
recordtype	eprints
spelling	iium-184392017-06-13T05:05:26Z http://irep.iium.edu.my/18439/ Distortion-free embedding in the optic disk of retina fundus images using complex-valued neural network Olanrewaju, R. F. Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha Aburas, Abdurazzag Ali Zeki, Akram M. Q300 Cybernetics QA Mathematics One of the downside of the current watermarking system is the inevitable distortion caused by data embedding. Some algorithms have been modified to produce a minimal distortion in the host image. however such small alterations may not be acceptable for medical images which are use for diagnosing and treatment of diseases. This paper presents a distortion-free method for embedding data in the optic nerves of retina images (fundus) accomplished by Complex-Valued Neural Networks. Features of the images are modeled in Fast Fourier Transform to obtain the complex values which serves as inputs to Complex-Valued Neural Networks, (CVNN). The performance of the proposed technique has been evaluated using ROC graphs and Image Fidelity Measure (IFM). Results obtained indicate that the proposed algorithm can perfectly embed watermark in the host image without any distortion or loss of information which make both host and the watermarked image perceptually indistinguishable. The novelty of the proposed algorithm is that it guarantees a complete recovery of the embedded data during watermark extraction provided the network is trained properly and correct weights are used. Hence it can improve correct diagnoses and therefore useful in authentication system. IDOSI Publication 2011 Article PeerReviewed application/pdf en http://irep.iium.edu.my/18439/3/WASJ_published.pdf Olanrewaju, R. F. and Khalifa, Othman Omran and Hassan Abdalla Hashim, Aisha and Aburas, Abdurazzag Ali and Zeki, Akram M. (2011) Distortion-free embedding in the optic disk of retina fundus images using complex-valued neural network. World Applied Sciences Journal , 13 (6). pp. 1295-1301. ISSN 1818-4952 http://www.idosi.org/wasj/wasj13%286%29/2.pdf
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	Q300 Cybernetics QA Mathematics
spellingShingle	Q300 Cybernetics QA Mathematics Olanrewaju, R. F. Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha Aburas, Abdurazzag Ali Zeki, Akram M. Distortion-free embedding in the optic disk of retina fundus images using complex-valued neural network
description	One of the downside of the current watermarking system is the inevitable distortion caused by data embedding. Some algorithms have been modified to produce a minimal distortion in the host image. however such small alterations may not be acceptable for medical images which are use for diagnosing and treatment of diseases. This paper presents a distortion-free method for embedding data in the optic nerves of retina images (fundus) accomplished by Complex-Valued Neural Networks. Features of the images are modeled in Fast Fourier Transform to obtain the complex values which serves as inputs to Complex-Valued Neural Networks, (CVNN). The performance of the proposed technique has been evaluated using ROC graphs and Image Fidelity Measure (IFM). Results obtained indicate that the proposed algorithm can perfectly embed watermark in the host image without any distortion or loss of information which make both host and the watermarked image perceptually indistinguishable. The novelty of the proposed algorithm is that it guarantees a complete recovery of the embedded data during watermark extraction provided the network is trained properly and correct weights are used. Hence it can improve correct diagnoses and therefore useful in authentication system.
format	Article
author	Olanrewaju, R. F. Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha Aburas, Abdurazzag Ali Zeki, Akram M.
author_facet	Olanrewaju, R. F. Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha Aburas, Abdurazzag Ali Zeki, Akram M.
author_sort	Olanrewaju, R. F.
title	Distortion-free embedding in the optic disk of retina fundus images using complex-valued neural network
title_short	Distortion-free embedding in the optic disk of retina fundus images using complex-valued neural network
title_full	Distortion-free embedding in the optic disk of retina fundus images using complex-valued neural network
title_fullStr	Distortion-free embedding in the optic disk of retina fundus images using complex-valued neural network
title_full_unstemmed	Distortion-free embedding in the optic disk of retina fundus images using complex-valued neural network
title_sort	distortion-free embedding in the optic disk of retina fundus images using complex-valued neural network
publisher	IDOSI Publication
publishDate	2011
url	http://irep.iium.edu.my/18439/ http://irep.iium.edu.my/18439/ http://irep.iium.edu.my/18439/3/WASJ_published.pdf
first_indexed	2023-09-18T20:27:32Z
last_indexed	2023-09-18T20:27:32Z
_version_	1777408516880859136

Distortion-free embedding in the optic disk of retina fundus images using complex-valued neural network

Similar Items