A new non-uniformity correction method based on unidirectional variational model

Jing Hu; Fan Liu; Liuting Yan

doi:10.1117/12.2280697

19 June 2017 A new non-uniformity correction method based on unidirectional variational model

Jing Hu, Fan Liu, Liuting Yan

Proceedings Volume 10443, Second International Workshop on Pattern Recognition; 104430Y (2017) https://doi.org/10.1117/12.2280697
Event: Second International Workshop on Pattern Recognition, 2017, Singapore, Singapore

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.

Citation Download Citation

Jing Hu, Fan Liu, and Liuting Yan "A new non-uniformity correction method based on unidirectional variational model", Proc. SPIE 10443, Second International Workshop on Pattern Recognition, 104430Y (19 June 2017); https://doi.org/10.1117/12.2280697

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