Features-pooling blind jpeg image steganalysis
Data(s) |
2008
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Resumo |
In this research, we introduce a new blind steganalysis in detecting grayscale JPEG images. Features-pooling method is employed to extract the steganalytic features and the classification is done by using neural network. Three different steganographic models are tested and classification results are compared to the five state-of-the-art blind steganalysis. |
Identificador | |
Publicador |
IEEE |
Relação |
DOI:10.1109/DICTA.2008.41 Leng, Chiew Kang & Pieprzyk, Josef (2008) Features-pooling blind jpeg image steganalysis. In Proceedings of Digital Image Computing: Techniques and Applications (DICTA), 2008, IEEE, Canberra, ACT, pp. 96-103. |
Direitos |
Copyright 2008 by The Institute of Electrical and Electronics Engineers, Inc. |
Fonte |
School of Electrical Engineering & Computer Science; Science & Engineering Faculty |
Palavras-Chave | #080100 ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING #Steganalysis #Steganography #Classification #Features-pooling #Steganalytic feature |
Tipo |
Conference Paper |