基于BP神经网络的盲数字水印算法

该文将二值水印嵌入到宿主图像的小波变换域的低频分量中，利用BP神经网络很好的非线性映射和自学习、自适应学习特点实现水印信息的盲提取，仿真实验结果表明该算法既能抵抗常规的图像处理攻击，也能抵抗一定程度的几何攻击，如JPEG压缩、剪切、加噪和滤波等，具有较好的鲁棒性和不可见性。

Blind Watermark Technology Based on BP-neural Networks for Image

The watermark is embedded the host image low-frequency coefficients based on wavelet transform. Using the self-learning and adaptive capabilities of neural network and a segment sequences can train the neural network. While the model of neural network is made certain, the blind watermark is extracted. The experimental results show that the algorithm is robustness and imperceptibility against the original image process attacks such as JPEG compression, cropping, noise and filtering etc.