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A new non-uniformity correction method based on unidirectional variational model
Author(s): Jing Hu; Fan Liu; Liuting Yan
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Paper Abstract

Scanning infrared imaging system often suffers from stripe non-uniformity. Considering the geometric characteristic of stripe non-uniformity in scanning images, the gradient of pixels cross scanning direction is much more than that in scanning direction, and the latter is more similar to the real scene. The reason for the above phenomenon is that pixels in scanning direction have uniformity parameters and those cross scanning direction have non-uniformity parameters. Therefore, a homogenization method based on a unidirectional variation model is proposed in this paper. The unidirectional variation model can minimize the gradient cross scanning direction. And the homogenization method is used to preserve the edge and detailed information in scanning direction. Experimental results demonstrate a good performance of our proposed method for stripe non-uniformity images.

Paper Details

Date Published: 19 June 2017
PDF: 8 pages
Proc. SPIE 10443, Second International Workshop on Pattern Recognition, 104430Y (19 June 2017); doi: 10.1117/12.2280697
Show Author Affiliations
Jing Hu, Huazhong Univ. of Science and Technology (China)
Fan Liu, Huazhong Univ. of Science and Technology (China)
Liuting Yan, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 10443:
Second International Workshop on Pattern Recognition
Xudong Jiang; Masayuki Arai; Guojian Chen, Editor(s)

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