Abstract: For the copyright protection of digital video, this paper proposes a video watermarking algorithm based on Chebyshev chaotic neural network. First, to enhance the watermarking images safety, we process it using Chebyshev chaotic neural network, then decompose the host video into the frames, extract key frames from the chaotic sequences generated by Henon mapping, and extract the low frequence coefficient of the key frames luminance component. The processed image watermark is adaptively embedded into the low frequency coefficients of the luminance component after the wavelet transform. The experimental results show that this algorithm has a good invisibility, and has good robustness for the attacks such as noise, Gauss filtering, rotation, frame shear, etc.
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Key words: video watermarking, Chebyshev chaotic neural network, Henon mapping