9. Calibration Techniques

  1. Hans Georg Schaathun

Published Online: 22 AUG 2012

DOI: 10.1002/9781118437957.ch9

Machine Learning in Image Steganalysis

Machine Learning in Image Steganalysis

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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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