26 October 2013 Improving performance of LMS non-uniformity correction by sigma filter
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Proceedings Volume 8917, MIPPR 2013: Multispectral Image Acquisition, Processing, and Analysis; 89170S (2013) https://doi.org/10.1117/12.2031190
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China
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.
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Chaobing Liang, Chaobing Liang, Hongshi Sang, Hongshi Sang, } "Improving performance of LMS non-uniformity correction by sigma filter", Proc. SPIE 8917, MIPPR 2013: Multispectral Image Acquisition, Processing, and Analysis, 89170S (26 October 2013); doi: 10.1117/12.2031190; https://doi.org/10.1117/12.2031190
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