State-of-the-art application of artificial neural networks in digital watermarking and the way forward

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.

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Abstract

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.

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Additional Information:	6796/11777 (ISBN: 9789834415020)
Uncontrolled Keywords:	ANN, capacity estimate, Watermarking, Secure Region SR
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Prof. Dr Othman O. Khalifa
Date Deposited:	15 Jun 2015 10:26
Last Modified:	21 Jul 2020 15:40
URI:	http://irep.iium.edu.my/id/eprint/11777

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