Channel capacity of high bit rate audio data hiding algorithms in diverse transform domains

In this paper, we present analysis of the achievable watermark channel data rate in high data rate data hiding applications. As the perceptual entropy for wideband monophonic audio signals is in the range of 4-5 bps, for an uncompressed audio signal, a significant amount of additional information can be inserted into the signal without causing a perceptual distortion. Test results showed that transform domain watermark embedding outperforms significantly watermark embedding in the time domain and that signal decompositions with a high GTC, like the wavelet transform, are the most suitable for high data rate information hiding applications.

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