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Proceedings Paper

A design of real-time scene-based nonuniformity correction system
Author(s): Xingang Mou; Guilin Zhang; Ruolan Hu
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Paper Abstract

Scene-based nonuniformity correction algorithms are widely concerned since they only need the readout infrared data captured by the imaging system during its normal operation. A system based on the neural network algorithm is designed for real-time correction, using the framework of foreground and background. FPGA as the foreground performs the regular nonuniformity correction and blind pixel detection. As the background, DSP monitors changes of the scene and updates the correction parameters according to the analysis of the scene. In order to eliminate ghosting artifacts, an edgedirected learning scheme is used. Via testing, the system is capable of tackling 25 frames per second. The performance of the system is evaluated with real infrared imaging sequences. The results show a more reliable fixed-pattern noise reduction, tracking the parameter drift, and presenting a good adaptability to scene changes.

Paper Details

Date Published: 30 October 2009
PDF: 5 pages
Proc. SPIE 7494, MIPPR 2009: Multispectral Image Acquisition and Processing, 749422 (30 October 2009); doi: 10.1117/12.833899
Show Author Affiliations
Xingang Mou, Huazhong Univ. of Science and Technology (China)
Guilin Zhang, Huazhong Univ. of Science and Technology (China)
Ruolan Hu, Huazhong Univ. of Science and Technology (China)

Published in SPIE Proceedings Vol. 7494:
MIPPR 2009: Multispectral Image Acquisition and Processing
Faxiong Zhang; Faxiong Zhang, Editor(s)

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