Extensive testing shows that the audio Zernike moments in lower orders are very robust to common signal processing operations, such as MP3 compression, low-pass filtering, etc. Based on the observations, in this paper, a robust watermark scheme is proposed by embedding the bits into the low-order moments. By analyzing and deducting the linear relationship between the audio amplitude and moments, watermarking the low-order moments is achieved in time domain by scaling sample values directly. Thus, the degradation in audio reconstruction from a limited number of watermarked Zernike moments is avoided. Experimental works show that the proposed algorithm achieves strong robustness performance due to the superiorities of exploited low-order moments. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Xiang, S., Huang, J., Yang, R., Wang, C., & Liu, H. (2006). Robust audio watermarking based on low-order Zernike moments. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4283 LNCS, pp. 226–240). Springer Verlag. https://doi.org/10.1007/11922841_19
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