Steganalysis by ensemble classifiers with boosting by regression, and post-selection of features

@article{Chaumont2012SteganalysisBE,
  title={Steganalysis by ensemble classifiers with boosting by regression, and post-selection of features},
  author={Marc Chaumont and Sarra Kouider},
  journal={2012 19th IEEE International Conference on Image Processing},
  year={2012},
  pages={1133-1136}
}
In this paper we extend the state-of-the-art steganalysis tool developed by Kodovský and Fridrich: the Kodovský's ensemble classifiers. We propose to boost the weak classifiers composing the Kodovsk ý classifier. For this, we minimize the probability of error thanks to a regression approach of low complexity. We also propose a post-selection of features, achieved after the learning step of all the weak classifiers. For each weak classifier, we identify a subset of features reducing the… CONTINUE READING

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