Abstract : In this paper, we propose a system for the identification of the system that has produced a Digital Radiography (DR) image. It takes advantage of the statistical properties of the noise left by any DR systems. In particular, a three parameter exponential model of the relationship in-between the image intensity and the overall noise variance is suggested. Its parameters are used as input of a classifier learned in order to discriminate different DR systems. Experiments conducted on images issued from 5 different DR systems show it is possible to identify with good accuracy the origin of one DR image.
http://www.hal.inserm.fr/inserm-01155021
Contributeur : Frédérique Frouin
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Soumis le : mardi 26 mai 2015 - 07:53:04
Dernière modification le : jeudi 20 septembre 2018 - 15:03:17
Document(s) archivé(s) le : jeudi 20 avril 2017 - 08:03:21
Yuping Duan, Gouenou Coatrieux, Huazhong Shu. Noise Based Identification of Digital Radiography Image Source. Journées RITS 2015, Mar 2015, Dourdan, France. Actes des Journées RITS 2015, pp 166-167, 2015. 〈inserm-01155021〉
