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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| Format: | Article |
| Language: | English |
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IDOSI Publications
2013
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| Online Access: | http://irep.iium.edu.my/30635/1/Computational_Intelligence_Its_Application_in_Digital_Watermarking.pdf |
| _version_ | 1796878068658208768 |
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| 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 |
| collection | IIUM |
| 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. |
| first_indexed | 2024-03-05T23:16:20Z |
| format | Article |
| id | oai:generic.eprints.org:30635 |
| institution | International Islamic University Malaysia |
| language | English |
| last_indexed | 2024-03-05T23:16:20Z |
| publishDate | 2013 |
| publisher | IDOSI Publications |
| record_format | dspace |
| spelling | oai:generic.eprints.org: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 |
| spellingShingle | QA75 Electronic computers. Computer science Olanrewaju, Rashidah Funke Khalifa, Othman Omran Abdul Latif, Khairun Nisaa’ Computational intelligence: It’s application in digital watermarking |
| title | 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_short | Computational intelligence: It’s application in digital watermarking |
| title_sort | computational intelligence it s application in digital watermarking |
| topic | QA75 Electronic computers. Computer science |
| url | http://irep.iium.edu.my/30635/1/Computational_Intelligence_Its_Application_in_Digital_Watermarking.pdf |
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