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Proceedings Paper

Scene-based nonuniformity correction using sparse prior
Author(s): Xingang Mou; Guilin Zhang; Ruolan Hu; Xiao Zhou
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Paper Abstract

The performance of infrared focal plane array (IRFPA) is known to be affected by the presence of spatial fixed pattern noise (FPN) that is superimposed on the true image. Scene-based nonuniformity correction (NUC) algorithms are widely concerned since they only need the readout infrared data captured by the imaging system during its normal operation. A novel adaptive NUC algorithm is proposed using the sparse prior that when derivative filters are applied to infrared images, the filter outputs tends to be sparse. A change detection module based on results of derivative filters is introduced to avoid stationary object being learned into the background, so the ghosting artifact is eliminated effectively. The performance of the new algorithm is evaluated with both real and simulated imagery.

Paper Details

Date Published: 8 December 2011
PDF: 7 pages
Proc. SPIE 8002, MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis, 800214 (8 December 2011); doi: 10.1117/12.901794
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)
Xiao Zhou, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 8002:
MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis
Faxiong Zhang; Faxiong Zhang, Editor(s)

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