Statistical Processing of Photon Images

Yu Ma, Qin Li*, Xin Yu

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

In this paper, a statistical processing method is performed to process the photon images with the small number of photons. The image intensifier is a necessary tool to get a readable image for the ultraweak luminescence, such as the spontaneous light of sample. The photon image is often interfered by the noise caused by the system and the background. And some signal photons were submerged by the noise. For the sake of getting the useful information from the original image, the collected photon images are summed up to increase the number of the samples. According to the distribution regulations of the signal and the noise, a threshold value T is set up to judge if the photon is the signal or not. The noise photons can be reduced and S/N of the photon image is improved. Compared with the pure accumulation of the images and the integrating processing method, the statistical processing method is more effective to process the limited frames of the images with the small number of photons.

Original languageEnglish
Pages (from-to)502-507
Number of pages6
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5254
Publication statusPublished - 2003
EventThird International Conference on Photonics and Imaging in Biology and Medicine - Wuhan, China
Duration: 8 Jun 200311 Jun 2003

Keywords

  • Photon image
  • Statistical processing
  • Threshold value

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