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Proceedings Paper

Practical methods for minimizing embedding impact in steganography
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Paper Abstract

In this paper, we propose a general framework and practical coding methods for constructing steganographic schemes that minimize the statistical impact of embedding. By associating a cost of an embedding change with every element of the cover, we first derive bounds on the minimum theoretically achievable embedding impact and then propose a framework to achieve it in practice. The method is based on syndrome codes with low-density generator matrices (LDGM). The problem of optimally encoding a message (e.g., with the smallest embedding impact) requires a binary quantizer that performs near the rate-distortion bound. We implement this quantizer using LDGM codes with a survey propagation message-passing algorithm. Since LDGM codes are guaranteed to achieve the rate-distortion bound, the proposed methods are guaranteed to achieve the minimal embedding impact (maximal embedding efficiency). We provide detailed technical description of the method for practitioners and demonstrate its performance on matrix embedding.

Paper Details

Date Published: 26 February 2007
PDF: 15 pages
Proc. SPIE 6505, Security, Steganography, and Watermarking of Multimedia Contents IX, 650502 (26 February 2007); doi: 10.1117/12.697471
Show Author Affiliations
Jessica Fridrich, SUNY Binghamton (United States)
Tomas Filler, SUNY Binghamton (United States)


Published in SPIE Proceedings Vol. 6505:
Security, Steganography, and Watermarking of Multimedia Contents IX
Edward J. Delp; Ping Wah Wong, Editor(s)

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