Image Complexity and Feature Extraction for Steganalysis of LSB Matching Steganography

Authors:
Qingzhong Liu;Andrew H. Sung;Jianyun Xu;Bernardete M. Ribeiro
Affiliations:
New Mexico Tech;New Mexico Tech;Microsoft Corporation One Microsoft Way Redmond, WA;University of Coimbra, Portugal
Venue:
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Year:
2006

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Abstract

In this paper, we present a scheme for steganalysis of LSB matching steganography based on feature extraction and pattern recognition techniques. Shape parameter of Generalized Gaussian Distribution (GGD) in the wavelet domain is introduced to measure image complexity. Several statistical pattern recognition algorithms are applied to train and classify the feature sets. Comparison of our method and others indicates our method is highly competitive. It is highly efficient for color image steganalysis. It is also efficient for grayscale steganalysis in the low image complexity domain.