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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Main Authors: Lars de Roos, Zeno Geradts
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Journal of Imaging
Subjects:
Online Access:https://www.mdpi.com/2313-433X/7/1/8
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spelling 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
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