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Robustness improvement of known-host-state watermarking using host statistics
Author(s) -
Oleksiy Koval,
Slava Voloshynovskiy,
F. Deguillaume,
Fernando PérezGonzález,
Thierry Pun
Publication year - 2005
Publication title -
proceedings of spie, the international society for optical engineering/proceedings of spie
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.192
H-Index - 176
eISSN - 1996-756X
pISSN - 0277-786X
DOI - 10.1117/12.586270
Subject(s) - digital watermarking , additive white gaussian noise , dither , computer science , algorithm , quantization (signal processing) , robustness (evolution) , watermark , gaussian noise , lossy compression , gaussian , embedding , statistics , theoretical computer science , white noise , mathematics , artificial intelligence , noise shaping , telecommunications , computer vision , image (mathematics) , biochemistry , chemistry , physics , quantum mechanics , gene
In this paper we consider the problem of performance improvement of known-host-state (quantization-based) watermarking methods undergo Additive White Gaussian noise (AWGN) and uniform noise attacks. We question the optimality of uniform high-rate quantizer based design of Dither Modulation and Distortion Compensated Dither Modulation methods from their robustness to these attacks point of view in terms of bit error rate probability. Motivated by the superior performance of the uniform deadzone quantizer over the uniform one in lossy source coding, we propose to replace the latter one by the former designed according to the statistics of the host data. Based on the suggested modifications we obtain analytical expressions for the bit error rate probability analysis of quantization-based watermarking methods in AWGN and uniform noise channels. Exper- imental results of computer simulations demonstrate significant performance enhancement of known-host-state watermarking techniques in comparison to the classically elaborated schemes.

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