Asymmetric spread spectrum data-hiding for Laplacian host data

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Asymmetric spread spectrum data-hiding for Laplacian host data
Spread spectrum (SS) or known-host-statistics technique has shown the best performance in terms of both rate of reliable communications and bit error probability at the low watermark-to-noise ratio (WNR) regime. These results were obtained assuming that the host data follows an independent and identically distributed (i.i.d.) Gaussian distribution. However, in some widely used in practical datahiding transform domains (like wavelet or discrete cosine transform domains) the host statistics have strong nonGaussian character. Motivated by this stochastic modeling mismatch between the used assumption and the real case, a new set-up of the SS-based data-hiding with Laplacian host is presented for performance enhancement in terms of both bit error probability and achievable rates in additive white Gaussian noise (AWGN) channels based on the parallel splitting of Laplacian source.
José-Emilio Vila-Forcén, Oleksiy J.
Added 23 Oct 2009
Updated 23 Oct 2009
Type Conference
Year 2005
Where ICIP
Authors José-Emilio Vila-Forcén, Oleksiy J. Koval, Sviatoslav Voloshynovskiy, Thierry Pun
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