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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Asian Network for Scientific Information
2011
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/2238/ http://irep.iium.edu.my/2238/1/Determing_Watermarking_.pdf |
| _version_ | 1848775974467928064 |
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| 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 |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T14:22:43Z |
| format | Article |
| id | iium-2238 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T14:22:43Z |
| publishDate | 2011 |
| publisher | Asian Network for Scientific Information |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-22382020-10-21T00:08:20Z 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 |
| 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 |
| title | 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_short | Determining watermark embedding strength using complex valued neural network |
| title_sort | determining watermark embedding strength using complex valued neural network |
| topic | T10.5 Communication of technical information |
| url | http://irep.iium.edu.my/2238/ http://irep.iium.edu.my/2238/ http://irep.iium.edu.my/2238/1/Determing_Watermarking_.pdf |