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A universal image steganalysis system based on double sparse representation classification (DSRC)
, Article Multimedia Tools and Applications ; 2017 , Pages 1-20 ; 13807501 (ISSN) ; Farsi, H ; Ghaemmaghami, S ; Sharif University of Technology
Springer New York LLC
2017
Abstract
Achieving high rates of detection in low rates of embedding is still a challenging problem in many steganalysis systems. The newly proposed steganalysis system based on sparse representation classifier has shown remarkable detection rates in low embedding rate. In this paper, we propose a new steganalysis system based on double sparse representation classifier. We compare our proposed method with other steganalysis systems which use different classifier (including nearest neighbor, support vector machine, ensemble support vector machine and sparse representation). In all of our experiments, input features to the classifier are fixed and the ability of classifier is examined. Also we provide...
A universal image steganalysis system based on double sparse representation classification (DSRC)
, Article Multimedia Tools and Applications ; Volume 77, Issue 13 , 2018 , Pages 16347-16366 ; 13807501 (ISSN) ; Farsi, H ; Ghaemmaghami, S ; Sharif University of Technology
Springer New York LLC
2018
Abstract
Achieving high rates of detection in low rates of embedding is still a challenging problem in many steganalysis systems. The newly proposed steganalysis system based on sparse representation classifier has shown remarkable detection rates in low embedding rate. In this paper, we propose a new steganalysis system based on double sparse representation classifier. We compare our proposed method with other steganalysis systems which use different classifier (including nearest neighbor, support vector machine, ensemble support vector machine and sparse representation). In all of our experiments, input features to the classifier are fixed and the ability of classifier is examined. Also we provide...