提出了一种基于BPN神经网络的水印新算法,首先对数字图像进行四进制小波分解;其次,在小波域内选择水印位嵌入的系数块,然后利用神经网络从嵌入水印的图像中恢复原始水印信息。实验结果表明这种水印算法具有很好的性能。
A new digital watermarking algorithm based on BPN neural network is proposed. Watermark embed processing is carried out by transforming the host image in four band wavelet domain. Watermark bits are added to the selected coeffi cients blocks. Because of the learning and adaptive capabilities of neural networks, the trained neural networks can recover the watermark from the watermarked images. The experimental results show that this watermarking algorithm has a good preferment.