Abstract
With the rapid development of science and information technology, it is more and more important to design a robust image watermarking algorithm to protect the intellectual property and information security of images. First of all, this paper encrypts the watermark information to improve the security of the watermarking algorithm through discrete Hopfield neural network based on chaos. Then, based on the image wavelet decomposition, the watermark information is embedded into the low and middle frequency wavelet coefficients according to the minimum Visual error and pixel position distortion. Experiments show that the algorithm has good security, robustness and invisibility.
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