State-of-the-art application of artificial neural networks in digital watermarking and the way forward
Several high-ranking watermarking schemes using neural networks have been proposed in order to make the watermark stronger to resist attacks. The ability of Artificial Neural Network, ANN to learn, do mapping, classify, and adapt has increased the interest of researcher in application of differe...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
2009
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/11777/ http://irep.iium.edu.my/11777/ http://irep.iium.edu.my/11777/4/PID221.pdf http://irep.iium.edu.my/11777/1/State-Of-The-Art_Application_Of_Artificial_Neural_Network_In_Digital.pdf |
| Summary: | Several high-ranking watermarking schemes using neural
networks have been proposed in order to make the watermark
stronger to resist attacks. The ability of Artificial Neural
Network, ANN to learn, do mapping, classify, and adapt has
increased the interest of researcher in application of different
types ANN in watermarking. In this paper, ANN based
approached have been categorized based on their application
to different components of watermarking such as; capacity
estimate, watermark embedding, recovery of watermark and
error rate detection. We propose a new component of water
marking, Secure Region, SR in which, ANN can be used to
identify such region within the estimated capacity. Hence an
attack-proof watermarking system can be achieved.
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