Anonymous fingerprinting with robust QIM watermarking techniques
EURASIP Journal on Information Security
Machine learning based adaptive watermark decoding in view of anticipated attack
Pattern Recognition
Dither Modulation in the Logarithmic Domain
IWDW '07 Proceedings of the 6th International Workshop on Digital Watermarking
Hyperbolic RDM for nonlinear valumetric distortions
IEEE Transactions on Information Forensics and Security
Analyzing the performance of dither modulation in presence of composite attacks
ICICS'11 Proceedings of the 13th international conference on Information and communications security
Effectiveness of ST-DM watermarking against intra-video collusion
IWDW'05 Proceedings of the 4th international conference on Digital Watermarking
Trellis-coded rational dither modulation for digital watermarking
IWDW'05 Proceedings of the 4th international conference on Digital Watermarking
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The performance of spread-transform dither modulation (ST-DM) watermarking in the presence of two important classes of non additive attacks, such as the gain attack plus noise addition, and the quantization attack are evaluated. The analysis is developed under the assumption that the host features are independent and identically distributed Gaussian random variables, and that a minimum distance criterion is used to decode the hidden information. The theoretical bit-error probabilities are derived in closed form, thus permitting to evaluate the impact of the considered attacks on the watermark at a theoretical level. The analysis is validated by means of extensive Monte Carlo simulations. In addition to the validation of the theoretical analysis, Monte Carlo simulations permitted to abandon the hypothesis of normally distributed host features, in favor of more realistic models adopting a Laplacian or a generalized Gaussian probability density function. The general result of our analysis is that the excellent performance of ST-DM are confirmed in all cases with the only noticeable exception of the gain attack.