Presenting a Novel Audio Watermarking Based on Discrete Wavelet Transform

Digital watermarking techniques are attracting attention as a proper solution to protect copyright for multimedia data. In this paper, we propose a new audio watermarking method, in wavelet coefficients in the way that human auditory system is not sensitive to it. The proposed method can embed the watermark data into levels 3-4 approximation coefficients of wavelet transform using echo and discrete Fourier transform. The extraction algorithm of the proposed method extracts two watermark sequences from watermarked data. The final watermark sequence is obtained by extracted sequence using a hidden key. The experimental results show that the proposed method is very robust to noise. In order to evaluate, the proposed method is compared with the methods based on FFT, Echo and AM