Abstract—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.

Index Terms—Audio Watermarking, Discrete Fourier Transform (DFT) Discrete Wavelet, Transform (DWT)

Mahdi Mosleh is with Department of Computer Engineering, Islamic Azad University, Dezful Branch, Dezful, Iran (email:mahdi_mosleh@yahoo.com).
Saeed Setayeshi is with Faculty of Nuclear Engineering and Physics,Amirkabir University, Tehran, Iran (email: setayesh@aut.ac.ir).
Mohammad Mosleh is with Department of Computer Engineering,Islamic Azad University, Dezful Branch, Dezful, Iran (email: mosleh@iaud.ac.ir).

Cite: Mahdi Mosleh, Saeed Setayeshi, and Mohammad Mosleh, "Presenting a Novel Audio Watermarking Based on Discrete Wavelet Transform," International Journal of Computer and Electrical Engineering vol. 3, no. 4, pp. 587-591, 2011.