Abstract
Non-uniformity correction for single infrared image is typical multi-extremum problem, which can be solved by genetic algorithms suitably and efficiently. Based on the idea of genetic algorithms (GAs), in this paper a new single image stripe non-uniformity correction method has been established successfully. Non-uniformity correction parameters (gain and offset coefficients) are turned into individual of GAs. Special constraint are designed to form the fitness function, which is efficient for optimization process of GAs. To validate our method, comparisons with other traditional methods are presented through real infrared images. Experimental results demonstrate the proposed method can eliminate stripe non-uniformity of infrared images as well as high consistency of original image.
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Acknowledgment
The authors gratefully acknowledge the support to this work from all our colleagues in Bei**g Engineering Research Center of Aerial Intelligent Remote Sensing Equipment. This work is supported by National Natural Science Foundation of China No. 60903116 and 12172062.
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Wen, G. et al. (2023). Single Infrared Image Non-uniformity Correction Based on Genetic Algorithm. In: **ong, N., Li, M., Li, K., **ao, Z., Liao, L., Wang, L. (eds) Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. ICNC-FSKD 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 153. Springer, Cham. https://doi.org/10.1007/978-3-031-20738-9_46
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