Ensemble Classifier~\cite{DBLP:journals/tifs/KodovskyFH12} based steganalyser.
Its particularization to spatial domain is
considered as state of the art steganalysers.
Ensemble Classifier~\cite{DBLP:journals/tifs/KodovskyFH12} based steganalyser.
Its particularization to spatial domain is
considered as state of the art steganalysers.
are CCPEV and SPAM features as described
in~\cite{DBLP:dblp_conf/mediaforensics/KodovskyPF10}.
They are extracted from the
are CCPEV and SPAM features as described
in~\cite{DBLP:dblp_conf/mediaforensics/KodovskyPF10}.
They are extracted from the
Next a small
set of weak classifiers is randomly built,
each one working on a subspace of all the features.
Next a small
set of weak classifiers is randomly built,
each one working on a subspace of all the features.
Ensemble Classifier has been used with all the previous
steganographic schemes with 4 different payloads.
It can be observed that face to high values of payload,
Ensemble Classifier has been used with all the previous
steganographic schemes with 4 different payloads.
It can be observed that face to high values of payload,