Scene illumination as an indicator of image manipulation

  • Riess C
  • Angelopoulou E
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Abstract

The goal of blind image forensics is to distinguish original and manipulated
images. We propose illumination color as a new indicator for the assessment of
image authenticity. Many images exhibit a combination of multiple illuminants
(flash photography, mixture of indoor and outdoor lighting, etc.). In the
proposed method, the user selects illuminated areas for further investigation.
The illuminant colors are locally estimated, effectively decomposing the scene
in a map of differently illuminated regions. Inconsistencies in such a map
suggest possible image tampering. Our method is physics-based, which implies
that the outcome of the estimation can be further constrained if additional
knowledge on the scene is available. Experiments show that these illumination
maps provide a useful and very general forensics tool for the analysis of color
images.

Author-supplied keywords

  • Blind image forensics
  • physics-based illuminant color estimation
  • scene analysis

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Authors

  • Christian Riess

  • Elli Angelopoulou

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