Audio Watermarking Based on Statistical Moment in Wavelet Domain

Audio watermarking has attracted more attentions recently. In this paper, a novel audio watermarking based on statistical moment in wavelet domain. Firstly, we introduce the novel transformation called Point-to-Point Graph (PPG) into the sub-band signal after the wavelet decomposition. In order to increase the robustness, the three dimensional transformation is implemented and then the wavelet coefficients are transformed into a sphere. Hence, we analyze the statistical distribution of the radius. A novel watermarking techniques based on statistical moment of radius is suggested. Experimental results against Stirmark attack confirm the performance of our method. Moreover, the robustness of the method against MP3 is also investigated through extensive simulations.