Title Statements
- Full title :Machine learning in image steganalysis / Hans Georg Schaathun.
Summary
"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"--
Read More ↓Edition Statements
- Publication Date:2012.
Publication Statements
- Publisher(s):IEEE Press, Wiley
- Place of Publication:Chichester, West Sussex, England
- Language:eng
- Publication Date:2012.
The Physical Object
- Description:x, 284 pages : : illustrations ; : 26 cm
Edition Identifiers
- ISBN:9780470663059, 0470663057
- oclc:ocn788248668
- LC Classification:Q325.5
- Dewey Decimal:006.3/1
Table of Contents
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.
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