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Proceedings Paper

Cover estimation and payload location using Markov random fields
Author(s): Tu-Thach Quach
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Paper Abstract

Payload location is an approach to find the message bits hidden in steganographic images, but not necessarily their logical order. Its success relies primarily on the accuracy of the underlying cover estimators and can be improved if more estimators are used. This paper presents an approach based on Markov random field to estimate the cover image given a stego image. It uses pairwise constraints to capture the natural two-dimensional statistics of cover images and forms a basis for more sophisticated models. Experimental results show that it is competitive against current state-of-the-art estimators and can locate payload embedded by simple LSB steganography and group-parity steganography. Furthermore, when combined with existing estimators, payload location accuracy improves significantly.

Paper Details

Date Published: 19 February 2014
PDF: 9 pages
Proc. SPIE 9028, Media Watermarking, Security, and Forensics 2014, 90280H (19 February 2014); doi: 10.1117/12.2032711
Show Author Affiliations
Tu-Thach Quach, Sandia National Labs. (United States)


Published in SPIE Proceedings Vol. 9028:
Media Watermarking, Security, and Forensics 2014
Adnan M. Alattar; Nasir D. Memon; Chad D. Heitzenrater, Editor(s)

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