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Proceedings Paper

Improving signal-to-noise ratio and reducing noise equivalent radiance of electro-optical systems sensor by binning image pixels
Author(s): Xiansheng Li; Jian-wei Ren; Zhi Wan; Hong-xing Liu; Changxi Xue
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Paper Abstract

The signal-to-noise ratio (SNR) and noise equivalent radiance (NER) are important characteristics of an electro-optical systems sensor. A new method to improve the system’s SNR and reduce the NER was studied by analyzing the radiometric calibration data of the system. An image was obtained, when the system was illuminated by the uniform light source outputting from integrating sphere. The adjourn pixels were binned by n×n pixels (n=2, 3, 4, 5) in this image. And the digital numbers of binning pixels were added together. The new images were achieved. With 5×5 pixels binned, the SNR increased from 165.7 up to 842.3, which is improved almost 5 times. At the same time, the NER decreased from 0.077(W/m2/sr) to 0.015(W/m2/sr), which is declined by nearly 5 times. With the binning pixels up to n×n, the SNR and NER were enhanced and decreased almost by n times, respectively.

Paper Details

Date Published: 6 March 2015
PDF: 5 pages
Proc. SPIE 9446, Ninth International Symposium on Precision Engineering Measurement and Instrumentation, 94462U (6 March 2015); doi: 10.1117/12.2181195
Show Author Affiliations
Xiansheng Li, Changchun Univ. of Science and Technology (China)
Changchun Institute of Optics, Fine Mechanics and Physics (China)
Jian-wei Ren, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Zhi Wan, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Hong-xing Liu, Changchun Institute of Optics, Fine Mechanics and Physics (China)
Changxi Xue, Changchun Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 9446:
Ninth International Symposium on Precision Engineering Measurement and Instrumentation
Junning Cui; Jiubin Tan; Xianfang Wen, Editor(s)

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