Proceedings of the XXth Conference of Open Innovations Association FRUCT (May 2018)

DSLR Imperfections Extraction from Image for Source Detection

  • Elena Aminova,
  • Ilya Trapeznikov,
  • Andrey Priorov,
  • Vladimir Khryashchev

DOI
https://doi.org/10.23919/FRUCT.2018.8468277
Journal volume & issue
Vol. 426, no. 22
pp. 12 – 18

Abstract

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Digital images frequently contain the objects which are not true for the depicted scene that can completely change the human perception of provided information. This article proposes an approach to search of the digital image forensics caused by distortions and noise of the Digital Single Lens Reflex (DSLR) devices. The tampered object detection algorithms can find these distortions and imperfections despite their size. Therefore it is necessary to reduce influence of these factors in various stages of image processing and forming in the digital devices. The method of determining the reliability of test image forming in the device under consideration based on the pixel non-uniformity of the device that appears at incident light was suggested.

Keywords