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ICIP
2005
IEEE

Statistical restoration for robust and secure steganography

11 years 1 months ago
Statistical restoration for robust and secure steganography
We investigate data hiding techniques that attempt to defeat steganalysis by restoring the statistics of the composite image to resemble that of the cover. The approach is to reserve a number of host symbols for statistical restoration: host statistics perturbed by data embedding are restored by suitably modifying the symbols from the reserved set. While statistical restoration has broad applicability to a variety of hiding methods, we illustrate our ideas here for quantization index modulation (QIM) based hiding. We propose a method for significantly reducing the detectability of QIM, while preserving its robustness to attacks. We next use the framework of statistical restoration to develop a method to combat steganalysis techniques which detect block-DCT embedding by evaluating the increase in blockiness of the image due to hiding. Numerical results demonstrating the efficacy of these techniques are provided.
Kaushal Solanki, Kenneth Sullivan, Upamanyu Madhow
Added 23 Oct 2009
Updated 23 Oct 2009
Type Conference
Year 2005
Where ICIP
Authors Kaushal Solanki, Kenneth Sullivan, Upamanyu Madhow, B. S. Manjunath, Shivkumar Chandrasekaran
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