Abstract
Most of thermal imaging system (TIS) has non-linear response characteristics of the s-curve due to the influence of its internal components. If these TIS raw outputs are calibrated using conventional two-point non-uniformity correction (NUC) without taking into account its response characteristics, the corrected output values cannot achieve a linear response characteristic in the dynamic range of the TIS. Furthermore, defective pixels can occur in the nonlinear response region in the TIS dynamic range. In order to solve this problem, we propose an optimal NUC technique considering TIS raw output characteristic. This proposed method can make it easier to develop many useful algorithms such as detection and tracking as well as image quality.
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Lim, J.H., Jeon, J.W., Kwon, K.H. (2019). Optimal Non-uniformity Correction for Linear Response and Defective Pixel Removal of Thermal Imaging System. In: Lee, S., Ismail, R., Choo, H. (eds) Proceedings of the 13th International Conference on Ubiquitous Information Management and Communication (IMCOM) 2019. IMCOM 2019. Advances in Intelligent Systems and Computing, vol 935. Springer, Cham. https://doi.org/10.1007/978-3-030-19063-7_30
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DOI: https://doi.org/10.1007/978-3-030-19063-7_30
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