Audio Watermarking Algorithm Based on Wavelet Packet and Psychoacoustic Model

An audio watermarking scheme based on wavelet packet and psychoacoustic model is presented. Wavelet packet is a very good tool to analysis the audio signal which is non-stationary. The algorithm has better imperceptibility by using masking effect in human auditory system. The masking threshold can be computed in wavelet domain. Thus the computational complexity is reduced greatly, because it doesn’t like MPEG algorithm which should perform FFT. The watermark can be blind extracted by using linear predictive coding. Experimental results show that the watermark is imperceptible and the algorithm is robust to many attacks, such as mp3 compression, noise addition, requantization, low pass filtering, D/A -A/D and so on.