Cover estimation and payload location using Markov random fields

Tu-Thach Quach

doi:10.1117/12.2032711

19 February 2014 Cover estimation and payload location using Markov random fields

Tu-Thach Quach

Proceedings Volume 9028, Media Watermarking, Security, and Forensics 2014; 90280H (2014) https://doi.org/10.1117/12.2032711
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States

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.

Citation Download Citation

Tu-Thach Quach "Cover estimation and payload location using Markov random fields", Proc. SPIE 9028, Media Watermarking, Security, and Forensics 2014, 90280H (19 February 2014); https://doi.org/10.1117/12.2032711

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