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Proceedings Paper

Improving performance of LMS non-uniformity correction by sigma filter
Author(s): Chaobing Liang; Hongshi Sang
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Paper Abstract

Spatial smoothing filters are usually used in LMS-based non-uniformity correction methods to get an estimation of true scene. Edge-smearing of these filters is the main reason for ‘ghosting’ artifacts. A method based on sigma filter is proposed, which can improve accuracy of non-uniformity and mitigate ‘ghosting’ artifacts. Sigma filter is also used to detect abnormal pixels and adaptively adjust learning rate. Tests with simulated data and real infrared sequences have shown that the proposed method outperforms other representative LMS-based methods.

Paper Details

Date Published: 26 October 2013
PDF: 8 pages
Proc. SPIE 8917, MIPPR 2013: Multispectral Image Acquisition, Processing, and Analysis, 89170S (26 October 2013); doi: 10.1117/12.2031190
Show Author Affiliations
Chaobing Liang, Huazhong Univ. of Science and Technology (China)
Hongshi Sang, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 8917:
MIPPR 2013: Multispectral Image Acquisition, Processing, and Analysis
Xinyu Zhang; Jianguo Liu, Editor(s)

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