Source camera identification based on sensor dust characteristics

A. Emir Dirik, Husrev T. Senear, Nasir Memon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A problem associated with digital single lens (DSLR) cameras is sensor dust. This problem arises due to dust particles attracted to the sensor, when the interchangeable lens is removed, creating a dust pattern in front of the imaging sensor. Sensor dust patterns reveals themselves as artifacts on the captured images and they become more visible at smaller aperture values. Since this pattern is not changed unless the sensor surface is cleaned, it can be used to match a given image to source DSLR camera. In this paper, we propose a new source camera identification method based on sensor dust characteristics. Dust specks on the image are detected using intensity variations and shape features to form the dust pattern of the DSLR camera. Experimental results show that the method can be used to identify the source camera of an image at very low false positive rates.

Original languageEnglish (US)
Title of host publicationProceedings - SAFE 2007
Subtitle of host publicationWorkshop on Signal Processing Applications for Public Security and Forensics
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)1424412269, 9781424412266
StatePublished - 2007
EventWorkshop on Signal Processing Applications for Public Security and Forensics, SAFE 2007 - Washington, United States
Duration: Apr 11 2007Apr 13 2007

Publication series

NameProceedings - SAFE 2007: Workshop on Signal Processing Applications for Public Security and Forensics

Other

OtherWorkshop on Signal Processing Applications for Public Security and Forensics, SAFE 2007
CountryUnited States
CityWashington
Period4/11/074/13/07

ASJC Scopus subject areas

  • Law
  • Computer Vision and Pattern Recognition
  • Signal Processing

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  • Cite this

    Dirik, A. E., Senear, H. T., & Memon, N. (2007). Source camera identification based on sensor dust characteristics. In Proceedings - SAFE 2007: Workshop on Signal Processing Applications for Public Security and Forensics [4218950] (Proceedings - SAFE 2007: Workshop on Signal Processing Applications for Public Security and Forensics). Institute of Electrical and Electronics Engineers Inc..