6. More Spatial Domain Features

  1. Hans Georg Schaathun

Published Online: 22 AUG 2012

DOI: 10.1002/9781118437957.ch6

Machine Learning in Image Steganalysis

Machine Learning in Image Steganalysis

How to Cite

Schaathun, H. G. (2012) More Spatial Domain Features, in Machine Learning in Image Steganalysis, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9781118437957.ch6

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:

  • more spatial domain features, for analysis of pixmap images;
  • difference matrices and IQM;
  • difference matrices from joint histograms;
  • difference matrix, image matrix and a shifted version;
  • prediction error images, from image compression in steganalysis;
  • image compression, needing to code prediction error;
  • SPAM model, SPAM features and grey-scale images;
  • second-order SPAM features, using second-order Markov;
  • run-length histogram, sensitive to embedding changes;
  • multiple colour channels, options for effective steganalysis

Summary

This chapter contains sections titled:

  • The Difference Matrix

  • Image Quality Measures

  • Colour Images

  • Experiment and Comparison