
Proceedings Paper
A new non-uniformity correction algorithm for IRFPA based on statistical properties of sceneFormat | Member Price | Non-Member Price |
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Paper Abstract
Influenced by detectors’ material, related manufacturing technology etc, every detection element’s responsivity in infrared focal plane arrays(IRFPA) is different, which results in non-uniformity of IRFPA. So non-uniformity correction(NUC) is an important technique for IRFPA. The classical two-point NUC algorithm based on reference sources is analyzed in this paper. And a new NUC algorithm based on statistical characteristics of image serial is presented. In this algorithm, the reference images are constructed from image serial, and correction parameters are computed by using the constructed reference images. Then two-point NUC is applied to output images of IRFPA. Experimental results show that the algorithm proposed in this paper is effective and implemented easily.
Paper Details
Date Published: 11 September 2013
PDF: 10 pages
Proc. SPIE 8907, International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications, 89073U (11 September 2013); doi: 10.1117/12.2034205
Published in SPIE Proceedings Vol. 8907:
International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications
Haimei Gong; Zelin Shi; Qian Chen; Jin Lu, Editor(s)
PDF: 10 pages
Proc. SPIE 8907, International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications, 89073U (11 September 2013); doi: 10.1117/12.2034205
Show Author Affiliations
Bingjian Wang, Xidian Univ. (China)
Zhiting Liu, Xidian Univ. (China)
Hanlin Qin, Xidian Univ. (China)
Huixin Zhou, Xidian Univ. (China)
Zhiting Liu, Xidian Univ. (China)
Hanlin Qin, Xidian Univ. (China)
Huixin Zhou, Xidian Univ. (China)
Published in SPIE Proceedings Vol. 8907:
International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications
Haimei Gong; Zelin Shi; Qian Chen; Jin Lu, Editor(s)
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