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Image Complexity and Feature Extraction for Steganalysis of LSB Matching Steganography

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4 Author(s)
Qingzhong Liu ; Dept. of Comput. Sci., New Mexico Tech, Socorro, NM ; Sung, A.H. ; Jianyun Xu ; Ribeiro, B.M.

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

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Pattern Recognition, 2006. ICPR 2006. 18th International Conference on  (Volume:2 )

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