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Proceedings Paper

The algorithm analysis on non-uniformity correction based on LMS adaptive filtering
Author(s): Dongjun Zhan; Qun Wang; Chensheng Wang; Huawang Chen
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Paper Abstract

The traditional least mean square (LMS) algorithm has the performance of good adaptivity to noise, but there are several disadvantages in the traditional LMS algorithm, such as the defect in desired value of pending pixels, undetermined original coefficients, which result in slow convergence speed and long convergence period. Method to solve the desired value of pending pixel has improved based on these problems, also, the correction gain and offset coefficients worked out by the method of two-point temperature non-uniformity correction (NUC) as the original coefficients, which has improved the convergence speed. The simulation with real infrared images has proved that the new LMS algorithm has the advantages of better correction effect. Finally, the algorithm is implemented on the hardware structure of FPGA+DSP.

Paper Details

Date Published: 4 November 2010
PDF: 10 pages
Proc. SPIE 7854, Infrared, Millimeter Wave, and Terahertz Technologies, 78541N (4 November 2010); doi: 10.1117/12.869529
Show Author Affiliations
Dongjun Zhan, Huazhong Institute of Electro-Optics (China)
Qun Wang, Huazhong Institute of Electro-Optics (China)
Chensheng Wang, Huazhong Institute of Electro-Optics (China)
Huawang Chen, Huazhong Institute of Electro-Optics (China)


Published in SPIE Proceedings Vol. 7854:
Infrared, Millimeter Wave, and Terahertz Technologies
Cunlin Zhang; Xi-Cheng Zhang; Peter H. Siegel; Li He; Sheng-Cai Shi, Editor(s)

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