Damageless digital watermarking using complex-valued artificial neural network
Several high-ranking watermarking schemes using neural networks have been proposed in order to make the watermark stronger to resist attacks. However, the current system only deals with real value data. Once the data become complex, the current algorithms are not capable of handling complex data....
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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UUM Press
2010
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/5612/1/DAMAGELESS_DIGITAL_WATERMARKING_USING_COMPLEXVALUED.pdf |
| _version_ | 1825644689977507840 |
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| author | Olanweraju, Rashidah Funke Ali Aburas, Abdurazzag Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha |
| author_facet | Olanweraju, Rashidah Funke Ali Aburas, Abdurazzag Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha |
| author_sort | Olanweraju, Rashidah Funke |
| collection | IIUM |
| description | Several high-ranking watermarking schemes using neural
networks have been proposed in order to make the watermark
stronger to resist attacks. However, the current system only
deals with real value data. Once the data become complex, the current algorithms are not capable of handling complex data. In this paper, a distortion-free digital watermarking scheme based on Complex-Valued Neural Network (CVNN) in transform domain is proposed. Fast Fourier Transform (FFT) was used to obtain the complex number (real and imaginary part) of the host image. The complex values form the input data of the Complex Back-Propagation (CBP) algorithm. Because neural networks perform best on detection, classification, learning and adaption, these features are employed to simulate the Safe Region (SR) to embed the watermark, thus, watermark are appropriately mapped
to the mid frequency of selected coeffi cients. The algorithm was appraised by Mean Squared Error MSE and Average Difference Indicator (ADI). Implementation results have shown that this watermarking algorithm has a high level of robustness and accuracy in recovery of the watermark. |
| first_indexed | 2024-03-05T22:36:30Z |
| format | Article |
| id | oai:generic.eprints.org:5612 |
| institution | International Islamic University Malaysia |
| language | English |
| last_indexed | 2024-03-05T22:36:30Z |
| publishDate | 2010 |
| publisher | UUM Press |
| record_format | dspace |
| spelling | oai:generic.eprints.org:56122020-10-20T03:35:16Z http://irep.iium.edu.my/5612/ Damageless digital watermarking using complex-valued artificial neural network Olanweraju, Rashidah Funke Ali Aburas, Abdurazzag Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha QA75 Electronic computers. Computer science T Technology (General) Several high-ranking watermarking schemes using neural networks have been proposed in order to make the watermark stronger to resist attacks. However, the current system only deals with real value data. Once the data become complex, the current algorithms are not capable of handling complex data. In this paper, a distortion-free digital watermarking scheme based on Complex-Valued Neural Network (CVNN) in transform domain is proposed. Fast Fourier Transform (FFT) was used to obtain the complex number (real and imaginary part) of the host image. The complex values form the input data of the Complex Back-Propagation (CBP) algorithm. Because neural networks perform best on detection, classification, learning and adaption, these features are employed to simulate the Safe Region (SR) to embed the watermark, thus, watermark are appropriately mapped to the mid frequency of selected coeffi cients. The algorithm was appraised by Mean Squared Error MSE and Average Difference Indicator (ADI). Implementation results have shown that this watermarking algorithm has a high level of robustness and accuracy in recovery of the watermark. UUM Press 2010 Article PeerReviewed application/pdf en http://irep.iium.edu.my/5612/1/DAMAGELESS_DIGITAL_WATERMARKING_USING_COMPLEXVALUED.pdf Olanweraju, Rashidah Funke and Ali Aburas, Abdurazzag and Khalifa, Othman Omran and Hassan Abdalla Hashim, Aisha (2010) Damageless digital watermarking using complex-valued artificial neural network. Journal of Information and Communication Technology, 9. pp. 111-137. ISSN 2180-3862 (O), 1675-414X (P) http://jict.uum.edu.my/index.php?option=com_phocadownload&view=category&id=12&Itemid=11 |
| spellingShingle | QA75 Electronic computers. Computer science T Technology (General) Olanweraju, Rashidah Funke Ali Aburas, Abdurazzag Khalifa, Othman Omran Hassan Abdalla Hashim, Aisha Damageless digital watermarking using complex-valued artificial neural network |
| title | Damageless digital watermarking using complex-valued artificial neural network |
| title_full | Damageless digital watermarking using complex-valued artificial neural network |
| title_fullStr | Damageless digital watermarking using complex-valued artificial neural network |
| title_full_unstemmed | Damageless digital watermarking using complex-valued artificial neural network |
| title_short | Damageless digital watermarking using complex-valued artificial neural network |
| title_sort | damageless digital watermarking using complex valued artificial neural network |
| topic | QA75 Electronic computers. Computer science T Technology (General) |
| url | http://irep.iium.edu.my/5612/1/DAMAGELESS_DIGITAL_WATERMARKING_USING_COMPLEXVALUED.pdf |
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