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Proceedings Paper

Using compressive measurement to obtain images at ultra low-light-level
Author(s): Jun Ke; Ping Wei
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Paper Abstract

In this paper, a compressive imaging architecture is used for ultra low-light-level imaging. In such a system, features, instead of object pixels, are imaged onto a photocathode, and then magnified by an image intensifier. By doing so, system measurement SNR is increased significantly. Therefore, the new system can image objects at ultra low-ligh-level, while a conventional system has difficulty. PCA projection is used to collect feature measurements in this work. Linear Wiener operator and nonlinear method based on FoE model are used to reconstruct objects. Root mean square error (RMSE) is used to quantify system reconstruction quality.

Paper Details

Date Published: 21 August 2013
PDF: 7 pages
Proc. SPIE 8908, International Symposium on Photoelectronic Detection and Imaging 2013: Imaging Sensors and Applications, 89081O (21 August 2013); doi: 10.1117/12.2034412
Show Author Affiliations
Jun Ke, Beijing Institute of Technology (China)
Ping Wei, Beijing Institute of Technology (China)


Published in SPIE Proceedings Vol. 8908:
International Symposium on Photoelectronic Detection and Imaging 2013: Imaging Sensors and Applications
Jun Ohta; Nanjian Wu; Binqiao Li, Editor(s)

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