Digital camera identification by fingerprint’s compact representation-Reference-Cited by-同舟云学术

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Digital camera identification by fingerprint’s compact representation

Published:2022-03-16 Issue:15 Volume:81 Page:21641-21674
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Bernacki Jarosław^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-022-12468-0.pdf

Reference50 articles.

1. Bernacki J (2021) Robustness of digital camera identification with convolutional neural networks. Multim Tools Appl 80(19):29657–29673

2. Bondi L, Baroffio L, Guera D, Bestagini P, Delp E J, Tubaro S (2017) First steps toward camera model identification with convolutional neural networks. IEEE Signal Process Lett 24(3):259–263

3. Borole M, Kolhe SR (2021) A feature-based approach for digital camera identification using photo-response non-uniformity noise. Int J Comput Vis Robot 11(4):374–384

4. Bruno A, Cattaneo G, Capasso P (2020) On the reliability of the PNU for source camera identification tasks. CoRR. arXiv:2008.12700

5. Chen C, Stamm M C (2021) Robust camera model identification using demosaicing residual features. Multim Tools Appl 80(8):11365–11393

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Generalizing Source Camera Identification Based on Integral Image Optimization and Constrained Neural Network;Electronics;2024-09-12

2. Student Attendance Management System Based on Fingerprint Identification Technology;2023 International Conference on Integrated Intelligence and Communication Systems (ICIICS);2023-11-24

3. An Auto-Encoder Based Method for Camera Fingerprint Compression;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

4. Towards Efficient On-Site CSAM Triage by Clustering Images from a Source Point of View;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2023

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