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"--

Bibliographic Details
Main Author: Schaathun, Hans Georg
Format: eBook
Language:English
Published: Chichester, West Sussex, United Kingdom IEEE/Wiley 2012
Subjects:
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
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245 0 0 |a Machine learning in image steganalysis  |c Hans Georg Schaathun 
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300 |a 1 online resource 
505 0 |a Includes bibliographical references and index 
505 0 |a 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 
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