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. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Xu, X. Q., Wen, X. B., Li, Y. Q., & Quan, J. J. (2007). A new watermarking approach based on neural network in wavelet domain. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4682 LNAI, pp. 1–6). Springer Verlag. https://doi.org/10.1007/978-3-540-74205-0_1
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