Fragile Audio Watermark based on Empirical Mode Decomposition for Content Authentication
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Abstract
Digital watermarking has become a passable technology for enabling multimedia protection schemes. Whilst most efforts focus on user authentication, lately attention in data authentication to assure data integrity has been growing. Fragile watermark algorithms are usually use in constructing content authentication systems. So, this paper propose a secure fragile adaptive blind audio watermarking algorithm based on Empirical Mode Decomposition (EMD). The audio signal is split into frames and each one is decomposed adaptively by EMD, into Intrinsic Mode Functions (IMFs). The watermark bits and the synchronization codes are embedded into the extrema of the first IMF, a high frequency mode sensitive to any small changes of audio signal. The experimental outcomes suggest that the method is fragile, imperceptible and having high capacity up to 3k pbs. The comparison analysis demonstrate that our method has superior performance than watermarking schemes reported recently.
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