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AuthorLawgaly, Ashref
AuthorKhelifi, Fouad
AuthorBouridane, Ahmed
AuthorAl-Maaddeed, Somaya
AuthorAkbari, Younes
Available date2023-11-26T13:12:27Z
Publication Date2022-01-01
Publication Name2022 8th International Conference on Control, Decision and Information Technologies, CoDIT 2022
Identifierhttp://dx.doi.org/10.1109/CoDIT55151.2022.9803953
CitationLawgaly, A., Khelifi, F., Bouridane, A., Al-Maaddeed, S., & Akbari, Y. (2022, May). PRNU Estimation based on Weighted Averaging for Source Smartphone Video Identification. In 2022 8th International Conference on Control, Decision and Information Technologies (CoDIT) (Vol. 1, pp. 75-80). IEEE.‏
ISBN9781665496070
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85134317849&origin=inward
URIhttp://hdl.handle.net/10576/49684
AbstractPhoto response non-uniformity (PRNU) noise is a sensor pattern noise characterizing imperfections in the imaging device. The PRNU is a unique noise for each sensor device, and it has been generally utilized in the literature for source camera identification and image authentication. In video forensics, the traditional approach estimates the PRNU by averaging a set of residual signals obtained from multiple video frames. However, due to lossy compression and other non-unique content-dependent noise components that interfere with the video data, constant averaging does not take into account the intensity of these undesirable noise components which are content-dependent. Different from the traditional approach, we propose a video PRNU estimation method based on weighted averaging. The noise residual is first extracted for each single video. Then, the estimated noise residuals are fed into a weighted averaging method to optimize PRNU estimation. Experimental results on two video datasets captured by various smartphone devices have shown a significant gain obtained with the proposed approach over the conventional state-of-the-art one.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectPRNU
Source Smartphone Identification
Video Forensics
weighted averaging
TitlePRNU Estimation based on Weighted Averaging for Source Smartphone Video Identification
TypeConference Paper
Pagination75-80
dc.accessType Open Access


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