DAMAGELESS DIGITAL WATERMARKING USING COMPLEXVALUED 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. In...
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| Format: | Article |
| Language: | English |
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UUM Press
2010-03-01
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| Series: | Journal of ICT |
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| Online Access: | https://e-journal.uum.edu.my/index.php/jict/article/view/8102 |