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Proceedings Paper

Statistical processing of photon images
Author(s): Yu Ma; Qin Li; Xin Yu
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Paper 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.

Paper Details

Date Published: 8 December 2003
PDF: 6 pages
Proc. SPIE 5254, Third International Conference on Photonics and Imaging in Biology and Medicine, (8 December 2003); doi: 10.1117/12.546558
Show Author Affiliations
Yu Ma, Beijing Institute of Technology (China)
Qin Li, Beijing Institute of Technology (China)
Xin Yu, Beijing Institute of Technology (China)

Published in SPIE Proceedings Vol. 5254:
Third International Conference on Photonics and Imaging in Biology and Medicine
Qingming Luo; Valery V. Tuchin; Min Gu; Lihong V. Wang, Editor(s)

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