This paper examines the role of attacker's memory in quantization index modulation (QIM) watermarking systems. First we derive the attacker's noise distribution that maximizes probability of error of the detector. Next, we derive QIM code parameters that are minmax optimal. The minmax optimal embedding strategy involves randomized lattice rotations, and the corresponding worst noise distributions are isotropic.
Minmax strategies for QIM watermarking subject to attacks with memory
2005-01-01
235016 byte
Conference paper
Electronic Resource
English
Minmax Strategies for Qim Watermarking Subject to Attacks with Memory
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