Multiple watermarking on digital audio based on DWT technique

Abstract

This paper proposes an effective multiple watermarking algorithm based on Discrete Wavelet Transform for audio signal. This approach embeds multiple gray images inside the detailed coefficient of Discrete Wavelet Transform at the first and second level decomposition. Embedded multiple watermark can be easily and faithfully recovered under different common signal processing attacks such as high pass filtering, compression, amplification normalization, noise reduction, amplification, delay re-quantization, resampling, pitch correction, echo attack and other attacks by owner of the audio signal. The performance evaluation of proposed algorithm indicates high robustness against common signal processing attack and satisfactory audio quality of transmitted audio signal.