Aligned and non-aligned double JPEG detection using convolutional neural networks

M Barni, L Bondi, N Bonettini, P Bestagini… - Journal of Visual …, 2017 - Elsevier
Due to the wide diffusion of JPEG coding standard, the image forensic community has
devoted significant attention to the development of double JPEG (DJPEG) compression …

Double JPEG detection in mixed JPEG quality factors using deep convolutional neural network

J Park, D Cho, W Ahn, HK Lee - Proceedings of the …, 2018 - openaccess.thecvf.com
Double JPEG detection is essential for detecting various image manipulations. This paper
proposes a novel deep convolutional neural network for double JPEG detection using …

Double JPEG compression forensics based on a convolutional neural network

Q Wang, R Zhang - EURASIP Journal on Information Security, 2016 - Springer
Double JPEG compression detection has received considerable attention in blind image
forensics. However, only few techniques can provide automatic localization. To address this …

Detection of nonaligned double JPEG compression based on integer periodicity maps

T Bianchi, A Piva - IEEE transactions on Information Forensics …, 2011 - ieeexplore.ieee.org
In this paper, a simple yet reliable algorithm to detect the presence of nonaligned double
JPEG compression (NA-JPEG) in compressed images is proposed. The method evaluates a …

Discriminating multiple JPEG compressions using first digit features

S Milani, M Tagliasacchi, S Tubaro - APSIPA Transactions on Signal …, 2014 - cambridge.org
The analysis of JPEG double-compressed images is a problem largely studied by the
multimedia forensics community, as it might be exploited, eg, for tampering localization or …

An effective method for detecting double JPEG compression with the same quantization matrix

J Yang, J Xie, G Zhu, S Kwong… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
Detection of double JPEG compression plays an important role in digital image forensics.
Some successful approaches have been proposed to detect double JPEG compression …

Localization of JPEG double compression through multi-domain convolutional neural networks

I Amerini, T Uricchio, L Ballan… - 2017 IEEE Conference …, 2017 - ieeexplore.ieee.org
When an attacker wants to falsify an image, in most of cases she/he will perform a JPEG
recompression. Different techniques have been developed based on diverse theoretical …

Raise: A raw images dataset for digital image forensics

DT Dang-Nguyen, C Pasquini, V Conotter… - Proceedings of the 6th …, 2015 - dl.acm.org
Digital forensics is a relatively new research area which aims at authenticating digital media
by detecting possible digital forgeries. Indeed, the ever increasing availability of multimedia …

Revealing the traces of JPEG compression anti-forensics

G Valenzise, M Tagliasacchi… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
Due to the lossy nature of transform coding, JPEG introduces characteristic traces in the
compressed images. A forensic analyst might reveal these traces by analyzing the histogram …

A machine learning based scheme for double JPEG compression detection

C Chen, YQ Shi, W Su - 2008 19th international conference on …, 2008 - ieeexplore.ieee.org
Double JPEG compression detection is of significance in digital forensics. We propose an
effective machine learning based scheme to distinguish between double and single JPEG …