Abstract
A new digital watermarking algorithm based on BPN neural network is proposed. Watermark embed processing is carried out by transforming the host image in wavelet domain. Watermark bits are added to the selected coefficients blocks. Because of the learning and adaptive capabilities of neural networks, the trained neural networks can recover the watermark from the watermarked images. The experimental results show that this watermarking algorithm has a good preferment.
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© 2007 Springer-Verlag Berlin Heidelberg
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Xu, XQ., Wen, XB., Li, YQ., Quan, JJ. (2007). A New Watermarking Approach Based on Neural Network in Wavelet Domain. In: Huang, DS., Heutte, L., Loog, M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2007. Lecture Notes in Computer Science(), vol 4682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74205-0_1
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DOI: https://doi.org/10.1007/978-3-540-74205-0_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74201-2
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