Improved photo response non-uniformity (PRNU) based source camera identification

Author:

Cooper Alan J.

Publisher

Elsevier BV

Subject

Pathology and Forensic Medicine,Law

Reference27 articles.

1. Determining digital image origin using sensor imperfections;Lukas;Proc. SPIE Int. Conf. Image Video Commun. Processing,2005

2. Digital camera identification from sensor pattern noise;Lukas;IEEE Trans. Inform. Forensics Secur.,2006

3. B. McCleary, Digital imaging system testing and design using physical sensor characteristics, Ph.D. theses, University of Southern California, 2009.

4. Large scale test of sensor fingerprint camera identification;Goljan,2009

5. W. van Houten, Understanding image sensors, noise, non-uniformities and obtaining a likelihood ratio in the process of device identification, M.Sc. theses, University of Amsterdam, 2008.

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1. ResNet-Based Camera Model Identification with Adaptive Preprocessing Module and Weight Fusion of Global Information;2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2023-10-31

2. PRNU-based Image Forgery Localization with Deep Multi-scale Fusion;ACM Transactions on Multimedia Computing, Communications, and Applications;2023-02-06

3. Identifying the Digital Camera from Natural Images Using Residual Noise and the Jensen–Shannon Divergence;Journal of Electrical and Computer Engineering;2022-10-10

4. Effective PRNU extraction via densely connected hierarchical network;Multimedia Tools and Applications;2022-03-11

5. A comprehensive non-uniformity correction method for EMCCD;Scientific Reports;2021-12

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