Second generation benchmarking and application oriented ... - CVML
Second generation benchmarking and application oriented ... - CVML
Second generation benchmarking and application oriented ... - CVML
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2. New attacks<br />
Estimation-based<br />
Assumption: WM technology is linear additive<br />
y = x + w<br />
x: Original data<br />
w: Watermark<br />
• estimation of cover data (denoising, perceptual remodulation,…)<br />
• estimation of watermark (copy attack, synchronization removal,…)<br />
Different stochastic methods:<br />
• ML-estimate (local mean, local median, …)<br />
• MAP-estimate ( Wiener Lee,…)<br />
Computer Vision Group<br />
University of Geneva