Abstract
An information-theoretic model for image watermarking and data hiding is presented in this paper. Recent 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.
Original language | English (US) |
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Pages (from-to) | 1029-1042 |
Number of pages | 14 |
Journal | IEEE Transactions on Image Processing |
Volume | 11 |
Issue number | 9 |
DOIs | |
State | Published - Sep 2002 |
Keywords
- Autoregressive processes
- Data hiding
- Discrete cosine transform
- Image modeling
- Image watermarking
- Information theory
- Minimax techniques
- Wavelets
ASJC Scopus subject areas
- Software
- Computer Graphics and Computer-Aided Design