基于小波域关系和神经网络的音频水印

提出一种在小波域使用神经网络的鲁棒音频水印算法。利用小波低频分量抗攻击能力强的特点,通过相邻段的系数之间的关系来隐藏水印信息。利用神经网络,自适应地完成水印提取,能在保证音频质量的同时进一步提高水印的鲁棒性。

Audio Watermark Based on the Relations of Wavelet Domain and Neural Networks

Mapping from neural networks to watermarking information is attained by analyzing the character of audio modified relations of specific coefficients in DWT domain.The proposed method takes advantage of Neural networks which has self-adaptive and self-study capability to optimize the robust ability of Watermark.The conclusion can be drawn from the experiment that the robust of this method is better than that of traditional arithmetic.This algorithm can extract watermark without help from the original digital audio signal.