Multi-class blind steganalysis for JPEG images

@inproceedings{Pevn2006MulticlassBS,
  title={Multi-class blind steganalysis for JPEG images},
  author={Tom{\'a}s Pevn{\'y} and Jessica J. Fridrich},
  booktitle={Security, Steganography, and Watermarking of Multimedia Contents},
  year={2006}
}
In this paper, we construct blind steganalyzers for JPEG images capable of assigning stego images to known steganographic programs. Each JPEG image is characterized using 23 calibrated features calculated from the luminance component of the JPEG file. Most of these features are calculated directly from the quantized DCT coefficients as their first order and higher-order statistics. The features for cover images and stego images embedded with three different relative message lengths are then… CONTINUE READING
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