Differential imaging forensics

Aurélien Bourquard, Jeff Yan

Research output: Working paperWorking Paper/Preprint

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Abstract

We introduce some new forensics based on differential imaging, where a novel category of visual evidence created via subtle interactions of light with a scene, such as dim reflections, can be computationally extracted and amplified from an image of interest through a comparative analysis with an additional reference baseline image acquired under similar conditions. This paradigm of differential imaging forensics (DIF) enables forensic examiners for the first time to retrieve the said visual evidence that is readily available in an image or video footage but would otherwise remain faint or even invisible to a human observer. We demonstrate the relevance and effectiveness of our approach through practical experiments. We also show that DIF provides a novel method for detecting forged images and video clips, including deep fakes.
Original languageEnglish
Place of PublicationIthaca, N.Y.
Number of pages11
Publication statusSubmitted - 12 Jun 2019

Keywords

  • cryptography and security
  • computer vision and pattern recognition
  • multimedia

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