Statistical audio watermarking algorithm based on perceptual analysis

Authors:
Xiaomei Quan;Hongbin Zhang
Affiliations:
Beijing University of Techology, Beijing, China;Beijing University of Techology, Beijing, China
Venue:
Proceedings of the 5th ACM workshop on Digital rights management
Year:
2005

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Abstract

In this paper, we describe a novel statistical audio watermarking scheme. Under the control of the masking thresholds, watermark is embedded adaptively and transparently in the perceptual significant portions in wavelet packet domain by a statistical method. Watermark detection can be done without access to the original signal. Experimental results show the proposed scheme can survive common signal manipulations and malicious attacks.