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
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Online Access:http://irep.iium.edu.my/30635/1/Computational_Intelligence_Its_Application_in_Digital_Watermarking.pdf
http://irep.iium.edu.my/30635/
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Institution: Universiti Islam Antarabangsa Malaysia
Language: English
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spelling my.iium.irep.306352020-10-26T00:20:34Z 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
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
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/30635/1/Computational_Intelligence_Its_Application_in_Digital_Watermarking.pdf
http://irep.iium.edu.my/30635/
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