research-article

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

Authors:

Ashref Lawgaly,

Ahmed Bouridane,

Somaya Al-maadeed,

Younes AkbariAuthors Info & Claims

ICMLT '22: Proceedings of the 2022 7th International Conference on Machine Learning Technologies

Pages 124 - 130

https://doi.org/10.1145/3529399.3529420

Published: 10 June 2022 Publication History

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.

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Cited By

Akbari YAl Maadeed SElharrouss OOttakath NKhelifi F(2024)Hierarchical deep learning approach using fusion layer for Source Camera Model Identification based on video taken by smartphoneExpert Systems with Applications10.1016/j.eswa.2023.121603238(121603)Online publication date: Mar-2024
https://doi.org/10.1016/j.eswa.2023.121603
Priyadarshini MKrishna DKumar KAmaresh KGoud BBajaj MAltameem TEl-Shafai WFouda M(2023)Significance of Harmonic Filters by Computation of Short-Time Fourier Transform-Based Time–Frequency Representation of Supply VoltageEnergies10.3390/en1605219416:5(2194)Online publication date: 24-Feb-2023
https://doi.org/10.3390/en16052194
Ottakath NAkbari YAl-Maadeed SBouridane AKhelifi F(2023)Exploring Classification Models for Video Source Device Identification: A Study of CNN-SVM and Softmax Classifier2023 International Symposium on Networks, Computers and Communications (ISNCC)10.1109/ISNCC58260.2023.10323835(1-6)Online publication date: 23-Oct-2023
https://doi.org/10.1109/ISNCC58260.2023.10323835

Index Terms

Three Dimensional Denoising Filter For Effective Source Smartphone Video Identification and Verification
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision

Index terms have been assigned to the content through auto-classification.

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ICMLT '22: Proceedings of the 2022 7th International Conference on Machine Learning Technologies

March 2022

291 pages

ISBN:9781450395748

DOI:10.1145/3529399

Copyright © 2022 ACM.

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Publication History

Published: 10 June 2022

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ICMLT 2022

ICMLT 2022: 2022 7th International Conference on Machine Learning Technologies

March 11 - 13, 2022

Rome, Italy

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Cited By

Akbari YAl Maadeed SElharrouss OOttakath NKhelifi F(2024)Hierarchical deep learning approach using fusion layer for Source Camera Model Identification based on video taken by smartphoneExpert Systems with Applications10.1016/j.eswa.2023.121603238(121603)Online publication date: Mar-2024
https://doi.org/10.1016/j.eswa.2023.121603
Priyadarshini MKrishna DKumar KAmaresh KGoud BBajaj MAltameem TEl-Shafai WFouda M(2023)Significance of Harmonic Filters by Computation of Short-Time Fourier Transform-Based Time–Frequency Representation of Supply VoltageEnergies10.3390/en1605219416:5(2194)Online publication date: 24-Feb-2023
https://doi.org/10.3390/en16052194
Ottakath NAkbari YAl-Maadeed SBouridane AKhelifi F(2023)Exploring Classification Models for Video Source Device Identification: A Study of CNN-SVM and Softmax Classifier2023 International Symposium on Networks, Computers and Communications (ISNCC)10.1109/ISNCC58260.2023.10323835(1-6)Online publication date: 23-Oct-2023
https://doi.org/10.1109/ISNCC58260.2023.10323835

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