7. The Wavelets Domain

  1. Hans Georg Schaathun

Published Online: 22 AUG 2012

DOI: 10.1002/9781118437957.ch7

Book Title

Machine Learning in Image Steganalysis

Machine Learning in Image Steganalysis

Additional Information

How to Cite

Schaathun, H. G. (2012) The Wavelets Domain, in Machine Learning in Image Steganalysis, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9781118437957.ch7

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:

  • the wavelets domain;
  • wavelet transforms, in digital image processing;
  • machine learning-based steganalysis, from wavelet of images;
  • wavelets' high-level/visual view, and use in image analysis;
  • FWT, discrete wavelet transform implementation;
  • DWT using the Haar wavelet;
  • wavelet transform in Python;
  • HCF in the wavelet domain;
  • denoising algorithms/WAM, noise/prediction error;
  • LAW denoising in wavelet, LAW-ML image optimality

Summary

This chapter contains sections titled:

  • A Visual View

  • The Wavelet Domain

  • Farid's Features

  • HCF in the Wavelet Domain

  • Denoising and the WAM Features

  • Experiment and Comparison

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