Abstract
A new blind watermarking scheme by combining neural network with chaotic map is proposed. Using a chaotic sequence, the binary highpass watermark is generated. An encrypted watermark is to map to a selected pixel is modified according to the bit will be embedded. Embedding and extraction of watermark are based on the relationship between the pixel and its neighborhood in each block of image. A neural network and an adaptive embedding algorithm are adopted to enhance the characters of the watermarking system. Experimental results show that this watermarking scheme is very robust to common image processing and the extracted watermarks are readily recognizable.
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© 2004 Springer-Verlag Berlin Heidelberg
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Tang, G., Liao, X. (2004). A Neural Network Based Blind Watermarking Scheme for Digital Images. In: Yin, FL., Wang, J., Guo, C. (eds) Advances in Neural Networks - ISNN 2004. ISNN 2004. Lecture Notes in Computer Science, vol 3174. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28648-6_103
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DOI: https://doi.org/10.1007/978-3-540-28648-6_103
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22843-1
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