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Determining watermark embedding strength using complex valued neural network

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)

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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.

Item Type: Article (Journal)
Additional Information: 4119/2238
Uncontrolled Keywords: digital watermarking ; watermark detection ; fast fourier transform (FFT) watermark embedding strength ; Complex valued neural network (CVNN)
Subjects: T Technology > T Technology (General) > T10.5 Communication of technical information
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: 20 Sep 2011 15:05
Last Modified: 21 Oct 2020 08:08
URI: http://irep.iium.edu.my/id/eprint/2238

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