A framework for evaluating the data-hiding capacity of image sources

An information-theoretic model for image watermarking and data hiding is presented in this paper. Previous theoretical results are used to characterize the fundamental capacity limits of image watermarking and data-hiding systems. Capacity is determined by the statistical model used for the host ima...

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Bibliographic Details
Published in:IEEE transactions on image processing 2002-09, Vol.11 (9), p.1029-1042
Main Authors: Moulin, P., Mihcak, M.K.
Format: Article
Language:English
Subjects:
Algorithm design and analysis
Applied sciences
Approximation
Closed-form solution
Data encapsulation
Data processing
Decoding
Distortion
Distortion measurement
Exact sciences and technology
Image coding
Image processing
Information theory
Information, signal and communications theory
Invariants
Mathematical analysis
Mathematical models
Signal processing
Solid modeling
Statistical analysis
Telecommunications and information theory
Watermarking
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Summary:An information-theoretic model for image watermarking and data hiding is presented in this paper. Previous theoretical results are used to characterize the fundamental capacity limits of image watermarking and data-hiding systems. Capacity is determined by the statistical model used for the host image, by the distortion constraints on the data hider and the attacker, and by the information available to the data hider, to the attacker, and to the decoder. We consider autoregressive, block-DCT, and wavelet statistical models for images and compute data-hiding capacity for compressed and uncompressed host-image sources. Closed-form expressions are obtained under sparse-model approximations. Models for geometric attacks and distortion measures that are invariant to such attacks are considered.
ISSN:1057-7149
1941-0042
DOI:10.1109/TIP.2002.802512