Journal of the Korea Institute of Military Science and Technology (한국군사과학기술학회지)

The Korea Institute of Military Science and Technology (한국군사과학기술학회)
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Camera Identification of DIBR-based Stereoscopic Image using Sensor Pattern Noise

센서패턴잡음을 이용한 DIBR 기반 입체영상의 카메라 판별

  • Lee, Jun-Hee (The 5th Research and Development Institute, Agency for Defense Development)
  • 이준희 (국방과학연구소 제5기술연구본부)
  • Received : 2015.06.25
  • Accepted : 2015.12.18
  • Published : 2016.02.05
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Abstract

Stereoscopic image generated by depth image-based rendering(DIBR) for surveillance robot and camera is appropriate in a low bandwidth network. The image is very important data for the decision-making of a commander and thus its integrity has to be guaranteed. One of the methods used to detect manipulation is to check if the stereoscopic image is taken from the original camera. Sensor pattern noise(SPN) used widely for camera identification cannot be directly applied to a stereoscopic image due to the stereo warping in DIBR. To solve this problem, we find out a shifted object in the stereoscopic image and relocate the object to its orignal location in the center image. Then the similarity between SPNs extracted from the stereoscopic image and the original camera is measured only for the object area. Thus we can determine the source of the camera that was used.

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References

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