A New Audio Watermarking for Copyright Protection and Content Authentication

Abstract

In this paper, a new audio watermarking algorithm is proposed to accomplish both copyright protection and content authentication with localization. Compared to the conventional algorithms, the feature of the proposed algorithm is that only an encrypted watermark is embedded in the approximate wavelet coefficients based on the instantaneous mixing model of the independent component analysis (ICA) system. As this robust watermark can be extracted blindly, the tampering can be localized accurately. Simulation results demonstrate the effectiveness and reliability of the proposed algorithm in terms of transparency, security, robustness and tampering localization. binary watermark. In the proposed algorithm, two chaotic sequences are used to spread spectrum of the scrambled watermark. Then the watermark messages are embedded into the approximate wavelet coefficients based on the instantaneous mixing model of the ICA system. Extraction is carried out through fast fixed-point independent component analysis (FastICA) algorithm. Different from previous multipurpose schemes, this algorithm can detect the tampered areas in extracting procedure and does no longer need to embed the fragile watermark. II. INDEPENDENT COMPONENT ANALYSIS