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Proceedings Paper

Optimal detector for an additive watermarking scheme based on human auditory system
Author(s): Mohsen Haddad; Andre Gilloire; Alain Le Guyader; Pierre Duhamel
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Paper Abstract

One requirement for audio watermarks is that the embedded watermark should be imperceptible and does not alter the audio signal quality. To achieve this goal, existing audio watermarking methods use a power constraint or more sophisticated Human Auditory System (HAS) models. At the embedding side the watermark signal is shaped by a masking curve computed on the original signal. At the detector, signal processing like Wiener filtering or inverse filtering whitens the watermark and tries to avoid host signal effect. Then, the correlation detector, which is the Maximum Likelihood (ML) optimal detector, is applied considering Gaussian assumption for the signals. The method described in this paper uses a different approach in the DFT domain. A new ML detector is derived assuming a Weibull distribution for the modulus of the Discrete Fourier Transform of the host signal. Performances of the new proposed detector are given and compared to the correlation detector that assumes a Gaussian distribution of the signal.

Paper Details

Date Published: 17 February 2006
PDF: 6 pages
Proc. SPIE 6072, Security, Steganography, and Watermarking of Multimedia Contents VIII, 60721Z (17 February 2006); doi: 10.1117/12.650824
Show Author Affiliations
Mohsen Haddad, France Telecom (France)
Andre Gilloire, France Telecom (France)
Alain Le Guyader, France Telecom (France)
Pierre Duhamel, LSS/CNRS (France)


Published in SPIE Proceedings Vol. 6072:
Security, Steganography, and Watermarking of Multimedia Contents VIII
Edward J. Delp III; Ping Wah Wong, Editor(s)

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