State-of-the-art application of artificial neural networks in digital watermarking and the way forward

• Main Authors: Olanrewaju, Rashidah Funke, Abdurazzaq, Aburas Ali, Khalifa, Othman Omran, Hassan Abdalla Hashim, Aisha
• Format: Conference or Workshop Item
• Language: English; English
• Published: 2009
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: 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; http://irep.iium.edu.my/11777/; http://www.icoci.cms.net.my/proceedings/2009/papers/PID221.pdf

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...