Multiplicative watermarking of audio in DFT magnitude
In this paper, watermark is multiplicatively embedded in discrete fourier transform magnitude of audio signal using spread spectrum based technique. A new perceptual model for magnitude of discrete fourier transform coefficients is developed which finds the regions of highest watermark embedding capacity with least perceptual distortion. Theoretical evaluation of detector performance using correlation detector and likelihood ratio detector is undertaken under the assumption that host feature follows Weibull distribution. Also, experimental results are presented in order to show the performance of the proposed scheme under various attacks such as presence of multiple watermarks, additive white gaussian noise and audio compression.
watermarking audio discrete fourier transform correlation detector log-likelihood detection