An Adaptive Blind Watermarking Algorithm Based on Neural Networks for Color Images
Yu Shan Sun · Computer Technology and Development · 2006
In this paper,a watermarking algorithm that embedding adaptively the watermark and blindly extracting based on neural network is proposed.First,a binary watermark is embedded into low-frequency coefficients,from which Y component in YIQ color space is decomposed by the wavelet transform.Second,the tradeoff of the watermarked image between robustness and imperceptibility would be available;the embedding factor is adjusted adaptively to the best value by human visual characteristics.Third,use the learning and adaptive capabilities of neural network and a segment sequences to train the neural network for the blind watermark extracting.Finally,selecting the 3*3 square window is better experimental effects than the cross window for calculating the input signals based on neural network.The experimental results show that the algorithm is robustness and imperceptibility against the original image process attacks.