The application of wavelet analysis and audio compression technology in digital audio watermarking

In this paper, we propose apply wavelet analysis and audio compress technology in audio watermarking. Our approach performs a wavelet transformation to determine the local audio properties optimal. Then apply audio compression technology local the watermark embedding location. A chaos sequence being watermark is embedded into the significant coefficients of the audio in detail coefficients. The scheme we proposed is shown to be very robust to a wide range of attacks including most challenging time-scaling and pitch-shifting warping. The results have shown the watermark imperceptible and robust against some signal processing. Extensive experimental results prove that the proposed method robustness to against the data compression, cropping attack and some kinds of synchronization attacks such as MP3, white Gaussian noise, filter and so on.