document: 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
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