Audio Watermarking Based on Quantization in Wavelet Domain

Abstract

A robust and oblivious audio watermarking based on quantization of wavelet coefficients is proposed in this paper. Watermark data is embedded by quantizing large wavelet coefficient in absolute value of high frequency detail sub-band at the third level wavelet transform. The watermark can be extracted without using the host signal. Experimental results show that the proposed method has good imperceptibility and robustness under common signal processing attacks such as additive noise, low-pass filtering, re-sampling, re-quantization, and MP3 compression. Moreover it is also robust against desynchronization attacks such as random cropping and jittering. Performance of the proposed scheme is better than audio watermarking scheme based on mean quantization.