DocumentCode :
417598
Title :
Two private, perceptual data-hiding games
Author :
Goteti, Anil Kumar ; Moulin, Pierre
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
Volume :
3
fYear :
2004
fDate :
17-21 May 2004
Abstract :
Perceptual watermarking methods are designed to be transparent and robust to attacks. A perceptual model based on just noticeable difference levels introduces amplitude constraints on the watermark and the noise generated by an attacker. Two problems are considered: (1) detection performance for embedding a single bit in n data; (2) Shannon capacity. In both cases, the original host data are known to the receiver. Both problems are formulated as games involving a suitable cost function (Bhattacharyya distance and mutual information, respectively). The watermarker and the attacker design probability distributions in order to maximize and minimize, respectively, the cost function. The optimal distributions are quite different from the uniform distributions that have been previously used in the watermarking literature.
Keywords :
convex programming; data encapsulation; game theory; image coding; minimisation; random noise; statistical distributions; visual perception; watermarking; Bhattacharyya distance; Shannon capacity; convex programming; cost function maximization; cost function minimization; images; just noticeable difference levels; mutual information; perceptual data-hiding games; perceptual watermarking; probability distributions; Character generation; Cost function; Degradation; Design methodology; Discrete cosine transforms; Humans; Mutual information; Noise generators; Noise robustness; Watermarking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-8484-9
Type :
conf
DOI :
10.1109/ICASSP.2004.1326559
Filename :
1326559
Link To Document :
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