18th International Conference on Pattern Recognition (ICPR'06) Volume 2 Image Complexity and Feature Extraction for Steganalysis of LSB Matching Steganography Hong Kong August 20-August 24 ISBN: 0-7695-2521-0
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.684
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.
Citation:
Qingzhong Liu, Andrew H. Sung, Jianyun Xu, Bernardete M. Ribeiro, "Image Complexity and Feature Extraction for Steganalysis of LSB Matching Steganography," icpr, vol. 2, pp.267-270, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||