Improving performance of LMS non-uniformity correction by sigma filter

Chaobing Liang; Hongshi Sang

doi:10.1117/12.2031190

26 October 2013 Improving performance of LMS non-uniformity correction by sigma filter

Chaobing Liang, Hongshi Sang

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.

Citation Download Citation

Chaobing Liang and 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); https://doi.org/10.1117/12.2031190

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