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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321241/ https://www.ncbi.nlm.nih.gov/pubmed/34460579 http://dx.doi.org/10.3390/jimaging7010008 |
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author | de Roos, Lars Geradts, Zeno |
author_facet | de Roos, Lars Geradts, Zeno |
author_sort | de Roos, Lars |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-8321241 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-83212412021-08-26 Factors that Influence PRNU-Based Camera-Identification via Videos de Roos, Lars Geradts, Zeno J Imaging Article 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. MDPI 2021-01-13 /pmc/articles/PMC8321241/ /pubmed/34460579 http://dx.doi.org/10.3390/jimaging7010008 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ). |
spellingShingle | Article de Roos, Lars Geradts, Zeno Factors that Influence PRNU-Based Camera-Identification via Videos |
title | 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_short | Factors that Influence PRNU-Based Camera-Identification via Videos |
title_sort | factors that influence prnu-based camera-identification via videos |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321241/ https://www.ncbi.nlm.nih.gov/pubmed/34460579 http://dx.doi.org/10.3390/jimaging7010008 |
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