Detection of Double-Compression in JPEG Images for Applications in Steganography

This paper presents a method for the detection of double JPEG compression and a maximum-likelihood estimator of the primary quality factor. These methods are essential for construction of accurate targeted and blind steganalysis methods for JPEG images. The proposed methods use support vector machin...

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Bibliographic Details
Published in:IEEE transactions on information forensics and security 2008-06, Vol.3 (2), p.247-258
Main Authors: Pevny, T., Fridrich, J.
Format: Article
Language:English
Subjects:
Algorithms
Blinds
Double-compression
Forensic engineering
forensics
Histograms
Image coding
Image compression
JPEG
JPEG encoders-decoders
Maximum likelihood detection
Maximum likelihood estimation
Q factor
Steganography
stegenanalysis
Support vector machine classification
Support vector machines
Transform coding
Transformations
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Description
Summary:This paper presents a method for the detection of double JPEG compression and a maximum-likelihood estimator of the primary quality factor. These methods are essential for construction of accurate targeted and blind steganalysis methods for JPEG images. The proposed methods use support vector machine classifiers with feature vectors formed by histograms of low-frequency discrete cosine transformation coefficients. The performance of the algorithms is compared to selected prior art.
ISSN:1556-6013
1556-6021
DOI:10.1109/TIFS.2008.922456