State-of-the-art application of artificial neural networks in digital watermarking and the way forward
Several high-ranking watermarking schemes using neural networks have been proposed in order to make the watermark stronger to resist attacks. The ability of Artificial Neural Network, ANN to learn, do mapping, classify, and adapt has increased the interest of researcher in application of differe...
| Main Authors: | , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
2009
|
| Subjects: | |
| Online Access: | http://irep.iium.edu.my/11777/ http://irep.iium.edu.my/11777/ http://irep.iium.edu.my/11777/4/PID221.pdf http://irep.iium.edu.my/11777/1/State-Of-The-Art_Application_Of_Artificial_Neural_Network_In_Digital.pdf |
| id |
iium-11777 |
|---|---|
| recordtype |
eprints |
| spelling |
iium-117772017-06-16T01:48:44Z http://irep.iium.edu.my/11777/ State-of-the-art application of artificial neural networks in digital watermarking and the way forward Olanrewaju, Rashidah Funke Abdurazzaq, Aburas Ali Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha TK Electrical engineering. Electronics Nuclear engineering Several high-ranking watermarking schemes using neural networks have been proposed in order to make the watermark stronger to resist attacks. The ability of Artificial Neural Network, ANN to learn, do mapping, classify, and adapt has increased the interest of researcher in application of different types ANN in watermarking. In this paper, ANN based approached have been categorized based on their application to different components of watermarking such as; capacity estimate, watermark embedding, recovery of watermark and error rate detection. We propose a new component of water marking, Secure Region, SR in which, ANN can be used to identify such region within the estimated capacity. Hence an attack-proof watermarking system can be achieved. 2009 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/11777/4/PID221.pdf application/pdf en http://irep.iium.edu.my/11777/1/State-Of-The-Art_Application_Of_Artificial_Neural_Network_In_Digital.pdf Olanrewaju, Rashidah Funke and Abdurazzaq, Aburas Ali and Khalifa, Othman Omran and Hassan Abdalla Hashim, Aisha (2009) State-of-the-art application of artificial neural networks in digital watermarking and the way forward. In: International Conference on Computing & Informatics 2009 (ICOCI 09), 24-25 June 2009, Kuala Lumpur. http://www.icoci.cms.net.my/proceedings/2009/papers/PID221.pdf |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
International Islamic University Malaysia |
| building |
IIUM Repository |
| collection |
Online Access |
| language |
English English |
| topic |
TK Electrical engineering. Electronics Nuclear engineering |
| spellingShingle |
TK Electrical engineering. Electronics Nuclear engineering Olanrewaju, Rashidah Funke Abdurazzaq, Aburas Ali Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha State-of-the-art application of artificial neural networks in digital watermarking and the way forward |
| description |
Several high-ranking watermarking schemes using neural
networks have been proposed in order to make the watermark
stronger to resist attacks. The ability of Artificial Neural
Network, ANN to learn, do mapping, classify, and adapt has
increased the interest of researcher in application of different
types ANN in watermarking. In this paper, ANN based
approached have been categorized based on their application
to different components of watermarking such as; capacity
estimate, watermark embedding, recovery of watermark and
error rate detection. We propose a new component of water
marking, Secure Region, SR in which, ANN can be used to
identify such region within the estimated capacity. Hence an
attack-proof watermarking system can be achieved.
|
| format |
Conference or Workshop Item |
| author |
Olanrewaju, Rashidah Funke Abdurazzaq, Aburas Ali Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha |
| author_facet |
Olanrewaju, Rashidah Funke Abdurazzaq, Aburas Ali Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha |
| author_sort |
Olanrewaju, Rashidah Funke |
| title |
State-of-the-art application of artificial neural networks in digital watermarking and the way forward |
| title_short |
State-of-the-art application of artificial neural networks in digital watermarking and the way forward |
| title_full |
State-of-the-art application of artificial neural networks in digital watermarking and the way forward |
| title_fullStr |
State-of-the-art application of artificial neural networks in digital watermarking and the way forward |
| title_full_unstemmed |
State-of-the-art application of artificial neural networks in digital watermarking and the way forward |
| title_sort |
state-of-the-art application of artificial neural networks in digital watermarking and the way forward |
| publishDate |
2009 |
| url |
http://irep.iium.edu.my/11777/ http://irep.iium.edu.my/11777/ http://irep.iium.edu.my/11777/4/PID221.pdf http://irep.iium.edu.my/11777/1/State-Of-The-Art_Application_Of_Artificial_Neural_Network_In_Digital.pdf |
| first_indexed |
2023-09-18T20:21:03Z |
| last_indexed |
2023-09-18T20:21:03Z |
| _version_ |
1777408109129498624 |