Hidden information detection using decision theory and quantized samples: Methodology, difficulties and results-Reference-Cited by-同舟云学术

Hidden information detection using decision theory and quantized samples: Methodology, difficulties and results

Published:2014-01 Issue: Volume:24 Page:144-161
ISSN:1051-2004
Container-title:Digital Signal Processing
language:en
Short-container-title:Digital Signal Processing

Author:

Cogranne Rémi,Retraint Florent,Zitzmann Cathel,Nikiforov Igor,Fillatre Lionel,Cornu Philippe

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Signal Processing,Artificial Intelligence,Applied Mathematics,Computer Vision and Pattern Recognition,Statistics, Probability and Uncertainty,Computational Theory and Mathematics

Reference50 articles.

1. Local Approximation Techniques in Signal and Image Processing, vol. PM157;Astola,2006

2. Break our steganographic system—The ins and outs of organizing boss;Bas,2011

3. Probability and Measure;Billingsley,1995

4. Advanced Statistical Steganalysis;Böhme,2010

5. A comparative study of ±1 steganalyzers;Cancelli,2008

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