Features-pooling blind jpeg image steganalysis


Autoria(s): Leng, Chiew Kang; Pieprzyk, Josef
Data(s)

2008

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

http://eprints.qut.edu.au/70245/

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