基于神经网络的彩色图像盲水印算法

Color Image Blind Watermarking Algorithm Based on Neural Network

提出一种基于Chebyshev神经网络的彩色图像盲水印算法。该算法先将彩色图像分块预处理,其次选择合适的样本训练网络,并建立提取水印时的网络模型,最后采用基于神经网络的水印算法在载体彩色图像中嵌入及提取水印。该算法具有较好的不可见性和鲁棒性。同时本文还利用Clifford向量的点、叉积性质提出一种水印相似度的新标准,实验表明,该标准能够较好地检测出原始水印与提出的水印的相似度。

This paper proposes a color image blind watermarking algorithm based on Chebyshev neural network. First of all, the algorithm divides the color image into blocks ; secondly, it selects the appropriate training samples to train the neural network, and sets up the network model to extract the watermarks; finally, uses the algorithm based on neural network to embed and extract the watermark in the color image. The experiments＇ results show that this watermarking algorithm has better robustness and in- visibility. Meanwhile this paper also proposes a new watermarking similarity standard with the nature of Clifford vector dot product and cross product, the experiments show that the evaluation standard can detect the similarity of the original watermark and the similarity of watermark.