Determining watermark embedding strength using complex valued neural network

The requirement needed for an effective and proficient watermarking system is application dependent. However, robustness and image quality (imperceptibility) are fundamental requirements for applications that deal with image watermarking. The major factor that affects the robustness and imperceptibi...

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Main Authors:	Olanrewaju, Rashidah Funke, Khalifa, Othman Omran, Hassan Abdalla Hashim, Aisha, Aburas, A. A., Zeki, Akram M.
Format:	Article
Language:	English
Published:	Asian Network for Scientific Information 2011
Subjects:	T10.5 Communication of technical information
Online Access:	http://irep.iium.edu.my/2238/ http://irep.iium.edu.my/2238/ http://irep.iium.edu.my/2238/1/Determing_Watermarking_.pdf

id	iium-2238
recordtype	eprints
spelling	iium-22382017-06-13T05:05:55Z http://irep.iium.edu.my/2238/ Determining watermark embedding strength using complex valued neural network Olanrewaju, Rashidah Funke Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha Aburas, A. A. Zeki, Akram M. T10.5 Communication of technical information The requirement needed for an effective and proficient watermarking system is application dependent. However, robustness and image quality (imperceptibility) are fundamental requirements for applications that deal with image watermarking. The major factor that affects the robustness and imperceptibility is the watermark embedding strength. In this study, a CVNN based adaptive technique of estimating watermark embedding strength for a digital image is presented. Experimental results indicated that CVNN based method can estimate the watermarking strength, gives a better correlation and an improved imperceptibility of the watermarked image. It is also demonstrates that the detection is enhanced. The use of this new method in watermarking achived content aithentication and helps overcome the problem of visual artifacts and distortions created during watermark embedding. Asian Network for Scientific Information 2011 Article PeerReviewed application/pdf en http://irep.iium.edu.my/2238/1/Determing_Watermarking_.pdf Olanrewaju, Rashidah Funke and Khalifa, Othman Omran and Hassan Abdalla Hashim, Aisha and Aburas, A. A. and Zeki, Akram M. (2011) Determining watermark embedding strength using complex valued neural network. Journal of Applied Sciences, 11 (16). pp. 2907-2915. ISSN 1812-5662 (O), 1812-5654 (P) http://www.doaj.org/doaj?func=loadTempl&templ=about&uiLanguage=en
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T10.5 Communication of technical information
spellingShingle	T10.5 Communication of technical information Olanrewaju, Rashidah Funke Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha Aburas, A. A. Zeki, Akram M. Determining watermark embedding strength using complex valued neural network
description	The requirement needed for an effective and proficient watermarking system is application dependent. However, robustness and image quality (imperceptibility) are fundamental requirements for applications that deal with image watermarking. The major factor that affects the robustness and imperceptibility is the watermark embedding strength. In this study, a CVNN based adaptive technique of estimating watermark embedding strength for a digital image is presented. Experimental results indicated that CVNN based method can estimate the watermarking strength, gives a better correlation and an improved imperceptibility of the watermarked image. It is also demonstrates that the detection is enhanced. The use of this new method in watermarking achived content aithentication and helps overcome the problem of visual artifacts and distortions created during watermark embedding.
format	Article
author	Olanrewaju, Rashidah Funke Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha Aburas, A. A. Zeki, Akram M.
author_facet	Olanrewaju, Rashidah Funke Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha Aburas, A. A. Zeki, Akram M.
author_sort	Olanrewaju, Rashidah Funke
title	Determining watermark embedding strength using complex valued neural network
title_short	Determining watermark embedding strength using complex valued neural network
title_full	Determining watermark embedding strength using complex valued neural network
title_fullStr	Determining watermark embedding strength using complex valued neural network
title_full_unstemmed	Determining watermark embedding strength using complex valued neural network
title_sort	determining watermark embedding strength using complex valued neural network
publisher	Asian Network for Scientific Information
publishDate	2011
url	http://irep.iium.edu.my/2238/ http://irep.iium.edu.my/2238/ http://irep.iium.edu.my/2238/1/Determing_Watermarking_.pdf
first_indexed	2023-09-18T20:09:46Z
last_indexed	2023-09-18T20:09:46Z
_version_	1777407399315898368

Determining watermark embedding strength using complex valued neural network

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