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Authors: Hoai Phuong Nguyen 1 ; Florent Retraint 2 ; Frédéric Morain-Nicolier 1 and Agnès Delahaies 1

Affiliations: 1 CREsTIC, University of Reims Champagne-Ardenne, Reims and France ; 2 LM2S, Institute Charles-Delaunay, Troyes University of Technology, Troyes and France

Keyword(s): Image Forgery Detection, JPEG Compression, Double Compression, DCT Coefficient.

Abstract: JPEG compression and double JPEG compression introduces systematically some particular characteristics in the Discrete Cosine Transform (DCT) domain. In this paper, we propose a description of these characteristics. We also describe how to exploit these characteristics to introduce a new and efficient solution for estimating the quantization steps used in the first compression of a double-compressed image. We also introduce a method for detecting forgery in compressed images. Rapid, having a simple implementation and there is no need for training to be functional, the proposed solution gives, however, a performance auspicious. Its performance is demonstrated on simulated images and images retrieved from several public databases.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Nguyen, H.; Retraint, F.; Morain-Nicolier, F. and Delahaies, A. (2019). An Image Forgery Detection Solution based on DCT Coefficient Analysis. In Proceedings of the 5th International Conference on Information Systems Security and Privacy - ICISSP; ISBN 978-989-758-359-9; ISSN 2184-4356, SciTePress, pages 487-494. DOI: 10.5220/0007412804870494

@conference{icissp19,
author={Hoai Phuong Nguyen. and Florent Retraint. and Frédéric Morain{-}Nicolier. and Agnès Delahaies.},
title={An Image Forgery Detection Solution based on DCT Coefficient Analysis},
booktitle={Proceedings of the 5th International Conference on Information Systems Security and Privacy - ICISSP},
year={2019},
pages={487-494},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007412804870494},
isbn={978-989-758-359-9},
issn={2184-4356},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Information Systems Security and Privacy - ICISSP
TI - An Image Forgery Detection Solution based on DCT Coefficient Analysis
SN - 978-989-758-359-9
IS - 2184-4356
AU - Nguyen, H.
AU - Retraint, F.
AU - Morain-Nicolier, F.
AU - Delahaies, A.
PY - 2019
SP - 487
EP - 494
DO - 10.5220/0007412804870494
PB - SciTePress