9. Calibration Techniques

  1. Hans Georg Schaathun

Published Online: 22 AUG 2012

DOI: 10.1002/9781118437957.ch9

Book Title

Machine Learning in Image Steganalysis

Machine Learning in Image Steganalysis

Additional Information

How to Cite

Schaathun, H. G. (2012) Calibration Techniques, in Machine Learning in Image Steganalysis, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9781118437957.ch9

Author Information

  1. Ålesund University College, Norway

Publication History

  1. Published Online: 22 AUG 2012
  2. Published Print: 21 AUG 2012

ISBN Information

Print ISBN: 9780470663059

Online ISBN: 9781118437957

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CHAPTER TOOLS

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Keywords:

  • calibration techniques;
  • steganalysis and challenges, features varying within class;
  • JPEG calibration, for blockiness attack;
  • JPEG calibration with learning classifiers;
  • CCPEV-438, as the Cartesian product of NCPEV-219;
  • feature comparison of NCPEV-219, PEV-219, PEV-438;
  • calibrated versions in improving accuracy;
  • 243-D Markov feature vector, improved using Cartesian;
  • downsampling as calibration, as a reasonable cover estimate;
  • reference transforms as cover estimate

Summary

This chapter contains sections titled:

  • Calibrated Features

  • JPEG Calibration

  • Calibration by Downsampling

  • Calibration in General

  • Progressive Randomisation

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