Low-Complexity Features for JPEG Steganalysis Using Undecimated DCT

@article{Holub2015LowComplexityFF,
  title={Low-Complexity Features for JPEG Steganalysis Using Undecimated DCT},
  author={Vojtech Holub and Jessica J. Fridrich},
  journal={IEEE Transactions on Information Forensics and Security},
  year={2015},
  volume={10},
  pages={219-228}
}
This paper introduces a novel feature set for steganalysis of JPEG images. The features are engineered as first-order statistics of quantized noise residuals obtained from the decompressed JPEG image using 64 kernels of the discrete cosine transform (DCT) (the so-called undecimated DCT). This approach can be interpreted as a projection model in the JPEG domain, forming thus a counterpart to the projection spatial rich model. The most appealing aspect of this proposed steganalysis feature set is… CONTINUE READING
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Universal distortion design for steganography in an arbitrary domain

  • V. Holub, J. Fridrich
  • EURASIP J. Inf. Security, vol. 2014, no. 1, pp. 1…
  • 2014
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