Factors that Influence PRNU-Based Camera-Identification via Videos
The Photo Response Non-Uniformity pattern (PRNU-pattern) can be used to identify the source of images or to indicate whether images have been made with the same camera. This pattern is also recognized as the “fingerprint” of a camera since it is a highly characteristic feature. However, this pattern...
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doaj-412f0470d2464f3da6dbdff02a5b138e2021-01-14T00:01:32ZengMDPI AGJournal of Imaging2313-433X2021-01-0178810.3390/jimaging7010008Factors that Influence PRNU-Based Camera-Identification via VideosLars de Roos0Zeno Geradts1Faculty of Technology, Amsterdam University of Applied Sciences, 1097 DZ Amsterdam, The NetherlandsDepartment of Digital and Biometric Traces, Netherlands Forensic Institute, 2467 GB The Hague, The NetherlandsThe Photo Response Non-Uniformity pattern (PRNU-pattern) can be used to identify the source of images or to indicate whether images have been made with the same camera. This pattern is also recognized as the “fingerprint” of a camera since it is a highly characteristic feature. However, this pattern, identically to a real fingerprint, is sensitive to many different influences, e.g., the influence of camera settings. In this study, several previously investigated factors were noted, after which three were selected for further investigation. The computation and comparison methods are evaluated under variation of the following factors: resolution, length of the video and compression. For all three studies, images were taken with a single iPhone 6. It was found that a higher resolution ensures a more reliable comparison, and that the length of a (reference) video should always be as high as possible to gain a better PRNU-pattern. It also became clear that compression (i.e., in this study the compression that Snapchat uses) has a negative effect on the correlation value. Therefore, it was found that many different factors play a part when comparing videos. Due to the large amount of controllable and non-controllable factors that influence the PRNU-pattern, it is of great importance that further research is carried out to gain clarity on the individual influences that factors exert.https://www.mdpi.com/2313-433X/7/1/8PRNUphoto response non-uniformitysource camera identificationvideoscompressionsnapchat |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Lars de Roos Zeno Geradts |
spellingShingle |
Lars de Roos Zeno Geradts Factors that Influence PRNU-Based Camera-Identification via Videos Journal of Imaging PRNU photo response non-uniformity source camera identification videos compression snapchat |
author_facet |
Lars de Roos Zeno Geradts |
author_sort |
Lars de Roos |
title |
Factors that Influence PRNU-Based Camera-Identification via Videos |
title_short |
Factors that Influence PRNU-Based Camera-Identification via Videos |
title_full |
Factors that Influence PRNU-Based Camera-Identification via Videos |
title_fullStr |
Factors that Influence PRNU-Based Camera-Identification via Videos |
title_full_unstemmed |
Factors that Influence PRNU-Based Camera-Identification via Videos |
title_sort |
factors that influence prnu-based camera-identification via videos |
publisher |
MDPI AG |
series |
Journal of Imaging |
issn |
2313-433X |
publishDate |
2021-01-01 |
description |
The Photo Response Non-Uniformity pattern (PRNU-pattern) can be used to identify the source of images or to indicate whether images have been made with the same camera. This pattern is also recognized as the “fingerprint” of a camera since it is a highly characteristic feature. However, this pattern, identically to a real fingerprint, is sensitive to many different influences, e.g., the influence of camera settings. In this study, several previously investigated factors were noted, after which three were selected for further investigation. The computation and comparison methods are evaluated under variation of the following factors: resolution, length of the video and compression. For all three studies, images were taken with a single iPhone 6. It was found that a higher resolution ensures a more reliable comparison, and that the length of a (reference) video should always be as high as possible to gain a better PRNU-pattern. It also became clear that compression (i.e., in this study the compression that Snapchat uses) has a negative effect on the correlation value. Therefore, it was found that many different factors play a part when comparing videos. Due to the large amount of controllable and non-controllable factors that influence the PRNU-pattern, it is of great importance that further research is carried out to gain clarity on the individual influences that factors exert. |
topic |
PRNU photo response non-uniformity source camera identification videos compression snapchat |
url |
https://www.mdpi.com/2313-433X/7/1/8 |
work_keys_str_mv |
AT larsderoos factorsthatinfluenceprnubasedcameraidentificationviavideos AT zenogeradts factorsthatinfluenceprnubasedcameraidentificationviavideos |
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