Quantization Index Modulation (QIM) methods are widely used for blind data embedding and watermarking. Given a QIM watermarking code, we ask what is the attacker's noise distribution that maximizes probability of error of the detector. For memoryless attacks, the problem is reduced to a convex programming problem. Next, we derive QIM code parameters that are minmax optimal.
|Original language||English (US)|
|Number of pages||4|
|Journal||Proceedings - International Conference on Image Processing, ICIP|
|State||Published - Dec 1 2004|
|Event||2004 International Conference on Image Processing, ICIP 2004 - , Singapore|
Duration: Oct 18 2004 → Oct 21 2004
ASJC Scopus subject areas