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Tools for image forensics – REVEAL
The goal of the REVEAL project is to address the problem of digital image forensics and to provide reference algorithms to the academic community and to the forensics experts. We will tackle the problems of image tempering detection, image tempering localization and large scale image analysis, which
Automated detection of digital images falsifications – DEFACTO
Photo-montage and counterfeit images are not a recent phenomenon. As soon as images have been used within a political or economical context, the reality and the authenticity of recorded scenes become a legitimate question. The emergence of digital data did not really modify that basic context. The
rObust statistics-basEd lIte Learning – OEIL
From an original image from a digital camera (OIDC), this image can be either modified globally for purposes of improvement of the quality of the image, or modified locally, this mainly for an ill-intentioned objective. The objective of this project is to be able to separate the manipulations of glo
Reconstruction of a digital image's history by its processing signature, application to anomaly detection – Signatures d'images
Our proposal aims to develop algorithms applicable to any digital image. These algorithms will reverse engineer a complete image history and visualizations revealing potential faults. The construction of this history will make it possible to detect improbable anomalies according to this history. Thu