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
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