Three Dimensional Denoising Filter For Effective Source Smartphone Video Identification and Verification

Lawgaly, Ashref, Khelifi, Fouad, Bouridane, Ahmed, Al-Maaddeed, Somaya and Akbari, Younes (2021) Three Dimensional Denoising Filter For Effective Source Smartphone Video Identification and Verification. In: ICMLT 2022 : 2022 7th International Conference on Machine Learning Technologies. ACM, New York, pp. 1-9. (In Press)

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Abstract

The field of digital image and video forensics has recently seen significant advances and has attracted attention from a growing number of researchers given the availability of imaging functionalities in most current multimedia devices at no cost including smartphones and tablets. Photo response non-uniformity (PRNU) noise is a sensor pattern noise characterizing the imaging device. However, estimating the PRNU from smartphone videos can be a challenging process because of the lossy compression that digital videos normally undergo for various reasons in addition to other non-unique noise components that interfere with the video data. This paper presents a new filtering technique for PRNU estimation based on the three-dimensional discrete wavelet transform followed by a 3D wiener filter. The rationale is that the 3D filter can filter out the compression artifacts along the temporal dimension in a more effective way than simple averaging. Experimental results on a public video dataset captured by various smartphone devices have shown a significant gain obtained with the proposed approach over the well-known two-dimensional wavelet-based Wiener approach.

Item Type: Book Section
Additional Information: Funding information: This work was supported by NPRP grant # NPRP12S-0312-190332 from the Qatar National Research Fund (a member of the Qatar Foundation). The statements made herein are solely the responsibility of the authors.; 2022 7th International Conference on Machine Learning Technologies , ICMLT 2022 ; Conference date: 11-03-2022 Through 13-03-2022
Uncontrolled Keywords: Photo Response Non-Uniformity Noise, Source Smartphone Identification, Video Forensics,, Video Forensics, 3D Wavelets & Wiener Filter.
Subjects: G400 Computer Science
G600 Software Engineering
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Related URLs:
Depositing User: John Coen
Date Deposited: 17 Dec 2021 10:05
Last Modified: 17 Dec 2021 10:15
URI: http://nrl.northumbria.ac.uk/id/eprint/48005

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