Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Visual quality enhancement of three-dimensional photon-counting integral imaging using background noise removal algorithm

배경 잡음 제거 알고리즘을 적용한 3차원 광자 계수 집적 영상의 화질 향상

  • Cho, Ki-Ok (Department of Electrical, Electronic, and Control Engineering, IITC, Hankyong National University) ;
  • Kim, Young jun (Department of Electrical, Electronic, and Control Engineering, IITC, Hankyong National University) ;
  • Kim, Cheolsu (Department of Electric Energy and Computer Engineering, Geyongju University) ;
  • Cho, Myungjin (Department of Electrical, Electronic, and Control Engineering, IITC, Hankyong National University)
  • Received : 2016.03.08
  • Accepted : 2016.03.28
  • Published : 2016.07.31
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Abstract

In this paper, we present a visual quality enhancement technique for conventional three-dimensional (3D) photon counting integral imaging using background noise removal algorithm. Photon counting imaging can detect a few photons from desired objects and visualize them under severely photon-starved conditions such as low light level environment. However, when a lot of photons are generated from background, it is difficult to detect photons from desired objects. Thus, the visual quality of the reconstructed image may be degraded. Therefore, in this paper, we propose a new photon counting imaging method that removes unnecessary background noise and detects photons from only desired objects. In addition, integral imaging can be used to obtain 3D information and visualize the 3D image by statistical estimations such as maximum likelihood estimation. To prove and evaluate our proposed method, we implement the optical experiment and calculate mean square error.

본 논문에서는, 배경 잡음 제거 알고리즘을 적용하여 일반적인 3차원 광자 계수 집적 영상의 화질을 개선하는 방법을 설명한다. 광자 계수 영상법은 광자가 매우 희박한 환경에서 소수의 광자를 검출하여 영상을 시각화 하는 방법이다. 하지만, 배경에서 발생되는 광자의 수가 많을 때, 원하는 물체의 광자 검출은 매우 어렵다. 이로 인해, 복원된 영상의 화질이 저하되는 문제점이 있다. 따라서, 본 논문에서는 불필요한 배경 잡음을 제거하고 오로지 원하는 물체에서만 광자를 검출하는 새로운 광자 계수 영상법을 제안한다. 또한, 3차원 정보를 획득하기 위해 집적 영상을 사용한다. 제안된 알고리즘의 유용성을 증명하기 위하여 광학적 실험을 수행하고 성능 평가를 위해 평균 제곱 오류 값을 계산한다.

Keywords

References

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