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SSWMC
2004

Steganalysis using color wavelet statistics and one-class support vector machines

9 years 11 months ago
Steganalysis using color wavelet statistics and one-class support vector machines
Steganographic messages can be embedded into digital images in ways that are imperceptible to the human eye. These messages, however, alter the underlying statistics of an image. We previously built statistical models using first-and higher-order wavelet statistics, and employed a non-linear support vector machines (SVM) to detect steganographic messages. In this paper we extend these results to exploit color statistics, and show how a one-class SVM greatly simplifies the training stage of the classifier.
Siwei Lyu, Hany Farid
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2004
Where SSWMC
Authors Siwei Lyu, Hany Farid
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