Machine learning in image steganalysis /
"The only book to look at steganalysis from the perspective of machine learning theory, and to apply the common technique of machine learning to the particular field of steganalysis; ideal for people working in both disciplines"--
Main Author: | |
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Format: | eBook |
Language: | English |
Published: |
Chichester, West Sussex, United Kingdom :
IEEE/Wiley,
2012.
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Subjects: | |
Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Steganography and Steganalysis
- Getting Started with a Classifier
- Features. Histogram Analysis
- Bit-Plane Analysis
- More Spatial Domain Features
- The Wavelets Domain
- Steganalysis in the JPEG Domain
- Calibration Techniques
- Classifiers. Simulation and Evaluation
- Support Vector Machines
- Other Classification Algorithms
- Feature Selection and Evaluation
- The Steganalysis Problem
- Future of the Field.
- Front Matter
- Overview. Introduction
- Steganography and Steganalysis
- Getting Started with a Classifier
- Features. Histogram Analysis
- Bit-Plane Analysis
- More Spatial Domain Features
- The Wavelets Domain
- Steganalysis in the JPEG Domain
- Calibration Techniques
- Classifiers. Simulation and Evaluation
- Support Vector Machines
- Other Classification Algorithms
- Feature Selection and Evaluation
- The Steganalysis Problem
- Future of the Field
- Bibliography
- Index.