Paper Info
Title
Optimal detector for an additive watermarking scheme based on human auditory system
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.
Year
DOI
Venue
2006
10.1117/12.650824
PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE)
Keywords
Field
DocType
watermarking,additive watermarking,optimal detector,human auditory system
Wiener filter,Audio signal,Signal processing,Digital watermarking,Algorithm,Filter (signal processing),Speech recognition,Watermark,Audio signal processing,Detector,Mathematics
Conference
Volume
ISSN
Citations 
6072
0277-786X
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
mohsen haddad100.34
André Gilloire2798265.57
Alain Le Guyader3124.22
Pierre Duhamel42339328.01