A study of the robustness of PRNU-based camera identification

Kurt Rosenfeld; Husrev T. Sencar

doi:10.1117/12.814705

A study of the robustness of PRNU-based camera identification

Kurt Rosenfeld^*, Husrev T. Sencar

^*Corresponding author for this work

New York University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

51 Citations (Scopus)

Abstract

We investigate the robustness of PRNU-based camera identification in cases where the test images have been passed through common image processing operations. We address the issue of whether current camera identification systems remain effective in the presence of a nontechnical, mildly evasive photographer who makes efforts at circumvention using only standard and/or freely available software. We study denoising, recompression, out-of-camera demosaicing.

Original language	English
Title of host publication	Media Forensics and Security
DOIs	https://doi.org/10.1117/12.814705
Publication status	Published - 2009
Externally published	Yes
Event	Media Forensics and Security - San Jose, CA, United States Duration: 19 Jan 2009 → 21 Jan 2009

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	7254
ISSN (Print)	0277-786X

Conference

Conference	Media Forensics and Security
Country/Territory	United States
City	San Jose, CA
Period	19/01/09 → 21/01/09

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10.1117/12.814705

Cite this

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title = "A study of the robustness of PRNU-based camera identification",

abstract = "We investigate the robustness of PRNU-based camera identification in cases where the test images have been passed through common image processing operations. We address the issue of whether current camera identification systems remain effective in the presence of a nontechnical, mildly evasive photographer who makes efforts at circumvention using only standard and/or freely available software. We study denoising, recompression, out-of-camera demosaicing.",

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AB - We investigate the robustness of PRNU-based camera identification in cases where the test images have been passed through common image processing operations. We address the issue of whether current camera identification systems remain effective in the presence of a nontechnical, mildly evasive photographer who makes efforts at circumvention using only standard and/or freely available software. We study denoising, recompression, out-of-camera demosaicing.

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M3 - Conference contribution

AN - SCOPUS:71449113903

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T3 - Proceedings of SPIE - The International Society for Optical Engineering

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A study of the robustness of PRNU-based camera identification

Abstract

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