An effective histogram-based approach to JPEG-100 forensics

Anh Thu Phan Ho 1, 2 Kai Wang 1 François Cayre 2
1 GIPSA-AGPIG - AGPIG
GIPSA-DIS - Département Images et Signal
2 GIPSA-CICS - CICS
GIPSA-DIS - Département Images et Signal
Abstract : This paper proposes an improved histogram-based approach to identifying whether an image is never compressed or has undergone JPEG compression with quality factor 100. The key idea is that the image's DCT (Discrete Cosine Transform) coefficients follow either of two families of parametric distributions, corresponding respectively to never compressed images and JPEG-100 compressed ones. This paper highlights that choosing the generalized Gaussian distribution (GGD) to model the DCT coefficients and constructing a DCT histogram with precision higher than integer create a prominent distinction between the DCT coefficients distribution of the two kinds of images. Experiments demonstrate that the proposed approach significantly outperforms existing histogram-based methods for the task of JPEG-100 forensics.
Type de document :
Communication dans un congrès
6th International Conference on Image Processing Theory, Tools and Applications (IPTA'16) , Dec 2016, Oulu, Finland. IEEE, 2016
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https://hal.archives-ouvertes.fr/hal-01406265
Contributeur : Kai Wang <>
Soumis le : mercredi 30 novembre 2016 - 22:22:36
Dernière modification le : samedi 28 juillet 2018 - 01:14:56

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  • HAL Id : hal-01406265, version 1

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Anh Thu Phan Ho, Kai Wang, François Cayre. An effective histogram-based approach to JPEG-100 forensics. 6th International Conference on Image Processing Theory, Tools and Applications (IPTA'16) , Dec 2016, Oulu, Finland. IEEE, 2016. 〈hal-01406265〉

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