JPEG anti-forensics using non-parametric DCT quantization noise estimation and natural image statistics - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2013

JPEG anti-forensics using non-parametric DCT quantization noise estimation and natural image statistics

Résumé

This paper proposes an anti-forensic method that disguises the footprints left by JPEG compression, whose objective is to fool existing JPEG forensic detectors while keeping a high visual quality of the processed image. First we examine the reliability of existing detectors and point out the potential vulnerability of the quantization table estimation based detector. Then we construct a new, non-parametric method to DCT histogram smoothing without any histogram statistical model. Finally JPEG forensic detectors are fooled by optimizing an objective function considering both the anti-forensic terms and a natural image statistical model. We show that compared to the state-of-the-art methods the proposed JPEG anti-forensic method is able to achieve a higher image visual quality while being undetectable under existing detectors.
Fichier non déposé

Dates et versions

hal-00836438 , version 1 (20-06-2013)

Identifiants

  • HAL Id : hal-00836438 , version 1

Citer

Wei Fan, Kai Wang, François Cayre, Zhang Xiong. JPEG anti-forensics using non-parametric DCT quantization noise estimation and natural image statistics. IH&MMSEC 2013 - 1st ACM Workshop on Information Hiding and Multimedia Security (IH & MMSEC 2013), Jun 2013, Montpellier, France. pp.117-122. ⟨hal-00836438⟩
170 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More