Title :
Image Complexity and Feature Extraction for Steganalysis of LSB Matching Steganography
Author :
Liu, Qingzhong ; Sung, Andrew H. ; Xu, Jianyun ; Ribeiro, Bernardete M.
Author_Institution :
Dept. of Comput. Sci., New Mexico Tech, Socorro, NM
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
Keywords :
Gaussian distribution; computational complexity; cryptography; feature extraction; image coding; image colour analysis; image matching; statistical analysis; wavelet transforms; LSB matching steganography; color image steganalysis; feature extraction; generalized Gaussian distribution; grayscale steganalysis; image complexity; statistical pattern recognition; wavelet domain; Computer science; Feature extraction; Gaussian distribution; Gray-scale; Maximum likelihood estimation; Pattern matching; Pattern recognition; Shape measurement; Steganography; Wavelet domain;
Conference_Titel :
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2521-0
DOI :
10.1109/ICPR.2006.684
