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Noise Based Identification of Digital Radiography Image Source

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.
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https://www.hal.inserm.fr/inserm-01155021
Contributor : Frédérique Frouin <>
Submitted on : Tuesday, May 26, 2015 - 7:53:04 AM
Last modification on : Wednesday, June 24, 2020 - 4:18:10 PM
Long-term archiving on: : Thursday, April 20, 2017 - 8:03:21 AM

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  • HAL Id : inserm-01155021, version 1

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Yuping Duan, Gouenou Coatrieux, Huazhong Shu. Noise Based Identification of Digital Radiography Image Source. Journées RITS 2015, Mar 2015, Dourdan, France. pp 166-167. ⟨inserm-01155021⟩

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