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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
ASCII Text
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Qingzhong Liu, Andrew H. Sung, Jianyun Xu, Bernardete M. Ribeiro, "Image Complexity and Feature Extraction for Steganalysis of LSB Matching Steganography," Pattern Recognition, International Conference on, vol. 2, pp. 267-270, 18th International Conference on Pattern Recognition (ICPR'06) Volume 2, 2006.
 
 
BibTex
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@article{ 10.1109/ICPR.2006.684,
author = {Qingzhong Liu and Andrew H. Sung and Jianyun Xu and Bernardete M. Ribeiro},
title = {Image Complexity and Feature Extraction for Steganalysis of LSB Matching Steganography},
journal ={Pattern Recognition, International Conference on},
volume = {2},
year = {2006},
issn = {1051-4651},
pages = {267-270},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.684},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - Image Complexity and Feature Extraction for Steganalysis of LSB Matching Steganography
SN - 1051-4651
SP267
EP270
A1 - Qingzhong Liu,
A1 - Andrew H. Sung,
A1 - Jianyun Xu,
A1 - Bernardete M. Ribeiro,
PY - 2006
KW - null
VL - 2
JA - Pattern Recognition, International Conference on
ER -
 
Qingzhong Liu, New Mexico Tech
Andrew H. Sung, New Mexico Tech
Jianyun Xu, Microsoft Corporation One Microsoft Way Redmond, WA
Bernardete M. Ribeiro, University of Coimbra, Portugal
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
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