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A study of the robustness of PRNU-based camera identification
Media Forensics and Security
We investigate the robustness of PRNU-based camera identification in cases where the test images have been passed through common image processing operations. A specific question we aim to answer is how camera identification can be circumvented by an nontechnical user, applying only standard and/or freely available software. We study denoising, recompression, out-of-camera demosaicing. We measure the beneficial effect of JPEG block artifact removal on camera identification accuracy. We examinedoi:10.1117/12.814705 dblp:conf/mediaforensics/RosenfeldS09 fatcat:bfarakevtjdhxh53bl62w4bcw4