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 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.
Moulin
Pierre
P
Beckman Institute, Coordinated Science Laboratory and Electrical and Computer Engineering Department, University of Illinois, Urbana, IL 61801, USA. moulin@ifp.uiuc.edu
Mihçak
M Kivanç
MK