Image complexity and feature extraction for steganalysis of LSB matching steganography

  • Liu Q
  • Sung A
  • Xu J
 et al. 
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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 (GGD) in the wavelet domain is introduced to measure image recognition algorithms are applied of Generalized Gaussian Distribution complexity. Several statistical 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 image complexity domain.

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