Improved Forensic Photo Manipulation Localization

Acquisition of a photograph with a digital camera introduces many characteristic fingerprints that might be used as forensic features to address questions regarding the photo's origin, integrity, or processing history. By analyzing these features for various regions of the photograph, it becomes possible to detect anomalies and indicate which fragments of the image were affected by malicious tampering. However, reliable extraction of forensic features requires to analyze large image regions which is clearly contradictory with the desired high resolution of the resulting tampering map. My postdoctoral research focuses on the techniques for improving tampering localization capabilities by adopting multi-scale analysis.

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• A multi-scale tampering localization toolbox with PRNU fingerprint analysis and MRF-based decision fusion.
• A MBFDF-based JPEG tampering detector which compares favorably with publicly available alternatives.
• A realistic tampering dataset with 220 high-quality examples.