JPEG image steganalysis improvement via image-to-image variation minimization


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

2008

Resumo

In this research, we introduce an approach to enhance the discriminative capability of features by employing image-to-image variation minimization. In order to minimize image-to-image variation, we will estimate the cover image from the stego image by decompressing the stego image, transforming the decompressed image and recompressing back. Since the effect of the embedding operation in an image steganography is actually a noise adding process to the image, applying these three processes will smooth out the noise and hence the estimated cover image can be obtained.

Identificador

http://eprints.qut.edu.au/70248/

Publicador

IEEE Computer Society

Relação

DOI:10.1109/ICACTE.2008.94

Leng, Chiew Kang & Pieprzyk, Josef (2008) JPEG image steganalysis improvement via image-to-image variation minimization. In Proceedings of the 2008 International Conference on Advanced Computer Theory and Engineering (ICACTE '08), IEEE Computer Society, Phuket, Thailand, pp. 223-227.

Direitos

Copyright 2008 by The Institute of Electrical and Electronics Engineers, Inc.

Fonte

School of Electrical Engineering & Computer Science; Science & Engineering Faculty

Palavras-Chave #Classification #Image-to-Image Variation #JPEG #Steganalysis #Steganography
Tipo

Conference Paper