DocumentCode :
1565145
Title :
A Blind Watermarking Algorithm Based on Neural Network
Author :
Zhang, Xinhong ; Zhang, Fan
Author_Institution :
Coll. of Comput. & Inf. Eng., Henan Univ., Kaifeng
Volume :
2
fYear :
2005
Firstpage :
1073
Lastpage :
1076
Abstract :
A blind digital watermarking algorithm based on Hopfield neural network is proposed. The host image and original watermark are stored by Hopfield neural network. The noise visibility function (NVF) is used for adaptive watermark embedding. In watermark extraction, the host image and the original watermark are retrieved by neural network. The experimental results show that this watermarking algorithm has a good preferment
Keywords :
Hopfield neural nets; image coding; image retrieval; watermarking; Hopfield neural network; adaptive watermark embedding; blind digital watermarking algorithm; image retrieval; neural network; noise visibility function; watermark extraction; Acoustic noise; Associative memory; Hamming distance; Hopfield neural networks; Humans; Image retrieval; Neural networks; Neurons; Steganography; Watermarking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9422-4
Type :
conf
DOI :
10.1109/ICNNB.2005.1614803
Filename :
1614803
Link To Document :
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