A new interpretation of data hiding capacity

We present a new definition of data hiding capacity which complements the established theory in the field and produces practical estimates under many attacks. We discuss the relation between the proposed definition and the current theoretical work on data hiding capacity. The definition proposed is applied to still images to estimate the hiding capacity of a particular image under attacks such as JPEG compression and additive noise.

[1]  Edward J. Delp,et al.  Perceptual watermarks for digital images and video , 1999, Electronic Imaging.

[2]  Edward J. Delp,et al.  Perceptual watermarks for digital images and video , 1999 .

[3]  Brian Chen.  Digital watermarking, information embedding, and data hiding systems , 2000 .

[4]  Thomas M. Cover,et al.  Elements of Information Theory , 2005 .

[5]  Charles F. Hockett,et al.  A mathematical theory of communication , 1948, MOCO.

[6]  Joseph A. O'Sullivan,et al.  Information-theoretic analysis of information hiding , 2003, IEEE Trans. Inf. Theory.

[7]  J. Chou,et al.  On the duality between distributed source coding and data hiding , 1999, Conference Record of the Thirty-Third Asilomar Conference on Signals, Systems, and Computers (Cat. No.CH37020).

[8]  Robert J. Safranek,et al.  Signal compression based on models of human perception , 1993, Proc. IEEE.

[9]  Kannan Ramchandran,et al.  Capacity issues in digital image watermarking , 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).

[10]  Wenjun Zeng,et al.  Image-adaptive watermarking using visual models , 1998, IEEE J. Sel. Areas Commun..

[11]  Andrew B. Watson,et al.  Perceptual optimization of DCT color quantization matrices , 1994, Proceedings of 1st International Conference on Image Processing.