Computational intelligence: It’s application in digital watermarking

Impersonation and piracy of intellectual properties remain an indispensable problem across the globe. Currently over millions of digital songs, images and videos are copied illegally during file-sharing over the networks, costing loss of revenue to multimedia industries. Digital Watermarking (DW)...

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Main Authors:	Olanrewaju, Rashidah Funke, Khalifa, Othman Omran, Abdul Latif, Khairun Nisaa’
Format:	Article
Language:	English
Published:	IDOSI Publications 2013
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/30635/ http://irep.iium.edu.my/30635/1/Computational_Intelligence_Its_Application_in_Digital_Watermarking.pdf

id	iium-30635
recordtype	eprints
spelling	iium-306352013-07-25T07:43:53Z http://irep.iium.edu.my/30635/ Computational intelligence: It’s application in digital watermarking Olanrewaju, Rashidah Funke Khalifa, Othman Omran Abdul Latif, Khairun Nisaa’ QA75 Electronic computers. Computer science Impersonation and piracy of intellectual properties remain an indispensable problem across the globe. Currently over millions of digital songs, images and videos are copied illegally during file-sharing over the networks, costing loss of revenue to multimedia industries. Digital Watermarking (DW) is an efficient method that embeds an imperceptible message in digital object to protect copyright and authenticate digital media in order to prevent forgery and impersonation. Computational Intelligence (CI); a well-established paradigm is currently gaining attraction in the field of information hiding due to its ability to solve and improve complex problems encountered. CI has been applied in digital watermarking to improve performance in order to curb piracy. This paper brings to view of computational intelligence techniques specifically the Artificial Neural Network (ANN); generalizations of mathematical models based on biological nervous systems and its applications in digital watermarking. Mathematical model of ANN in relation to digital watermarking is indentified, elucidated and simplified. Results of image watermarking using both ANN and no ANN were compared. It was found that ANN based watermarking outperformed the No ANN algorithm in terms of imperceptibility. It is anticipated that this paper will serve as a launch pad for researchers interested in intelligent watermarking. IDOSI Publications 2013 Article PeerReviewed application/pdf en http://irep.iium.edu.my/30635/1/Computational_Intelligence_Its_Application_in_Digital_Watermarking.pdf Olanrewaju, Rashidah Funke and Khalifa, Othman Omran and Abdul Latif, Khairun Nisaa’ (2013) Computational intelligence: It’s application in digital watermarking. Middle East Journal of Scientific Research (MEJSR), 13. pp. 25-30. ISSN 1990-9233
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Olanrewaju, Rashidah Funke Khalifa, Othman Omran Abdul Latif, Khairun Nisaa’ Computational intelligence: It’s application in digital watermarking
description	Impersonation and piracy of intellectual properties remain an indispensable problem across the globe. Currently over millions of digital songs, images and videos are copied illegally during file-sharing over the networks, costing loss of revenue to multimedia industries. Digital Watermarking (DW) is an efficient method that embeds an imperceptible message in digital object to protect copyright and authenticate digital media in order to prevent forgery and impersonation. Computational Intelligence (CI); a well-established paradigm is currently gaining attraction in the field of information hiding due to its ability to solve and improve complex problems encountered. CI has been applied in digital watermarking to improve performance in order to curb piracy. This paper brings to view of computational intelligence techniques specifically the Artificial Neural Network (ANN); generalizations of mathematical models based on biological nervous systems and its applications in digital watermarking. Mathematical model of ANN in relation to digital watermarking is indentified, elucidated and simplified. Results of image watermarking using both ANN and no ANN were compared. It was found that ANN based watermarking outperformed the No ANN algorithm in terms of imperceptibility. It is anticipated that this paper will serve as a launch pad for researchers interested in intelligent watermarking.
format	Article
author	Olanrewaju, Rashidah Funke Khalifa, Othman Omran Abdul Latif, Khairun Nisaa’
author_facet	Olanrewaju, Rashidah Funke Khalifa, Othman Omran Abdul Latif, Khairun Nisaa’
author_sort	Olanrewaju, Rashidah Funke
title	Computational intelligence: It’s application in digital watermarking
title_short	Computational intelligence: It’s application in digital watermarking
title_full	Computational intelligence: It’s application in digital watermarking
title_fullStr	Computational intelligence: It’s application in digital watermarking
title_full_unstemmed	Computational intelligence: It’s application in digital watermarking
title_sort	computational intelligence: it’s application in digital watermarking
publisher	IDOSI Publications
publishDate	2013
url	http://irep.iium.edu.my/30635/ http://irep.iium.edu.my/30635/1/Computational_Intelligence_Its_Application_in_Digital_Watermarking.pdf
first_indexed	2023-09-18T20:44:51Z
last_indexed	2023-09-18T20:44:51Z
_version_	1777409606583058432

Computational intelligence: It’s application in digital watermarking

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