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CORR
2007
Springer

Optimal Watermark Embedding and Detection Strategies Under Limited Detection Resources

13 years 3 months ago
Optimal Watermark Embedding and Detection Strategies Under Limited Detection Resources
We propose an information–theoretic approach to the watermark embedding and detection under limited detector resources. First, we present asymptotically optimal decision regions in the Neyman–Pearson sense. We expand these results to the case of zero-mean i.i.d. Gaussian covertext distribution with unknown variance. For this case, we propose a lower bound on the exponential decay rate of the false–negative probability and prove that the optimal embedding and detecting strategy is superior to the customary linear, additive embedding strategy in the exponential sense.
Neri Merhav, Erez Sabbag
Added 13 Dec 2010
Updated 13 Dec 2010
Type Journal
Year 2007
Where CORR
Authors Neri Merhav, Erez Sabbag
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