Three Dimensional Denoising Filter For Effective Source Smartphone Video Identification and Verification-Reference-Cited by-同舟云学术

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

Published:2022-03-11 Issue: Volume: Page:
ISSN:
Container-title:2022 7th International Conference on Machine Learning Technologies (ICMLT)
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Author:

Lawgaly Ashref¹,Khelifi Fouad¹,Bouridane Ahmed²,Al-maadeed Somaya³,Akbari Younes³

Affiliation:

1. Department of Computer and Information Sciences, Northumbria University, UK

2. Department of Computer Engineering, University of Sharjah, UAE

3. Department of Computer Science and Engineering, Qatar University, Qatar

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3529399.3529420

Reference32 articles.

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3. Digital Camera Identification From Sensor Pattern Noise

4. Determining Image Origin and Integrity Using Sensor Noise

5. Lawgaly , A. and F. Khelifi , Sensor pattern noise estimation based on improved locally adaptive DCT filtering and weighted averaging for source camera identification and verification. IEEE Transactions on Information Forensics and Security , 2016 . 12(2): p. 392 - 404 . Lawgaly, A. and F. Khelifi, Sensor pattern noise estimation based on improved locally adaptive DCT filtering and weighted averaging for source camera identification and verification. IEEE Transactions on Information Forensics and Security, 2016. 12(2): p. 392-404.

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