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15 October 2021 A single-frame and multi-frame based method for non-uniformity correction in uncooled infrared camera
Zhuoqun Liu, Shanzhu Xiao, Huanzhang Lu
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Proceedings Volume 11933, 2021 International Conference on Neural Networks, Information and Communication Engineering; 1193313 (2021) https://doi.org/10.1117/12.2615200
Event: 2021 International Conference on Neural Networks, Information and Communication Engineering, 2021, Qingdao, China
Abstract
After an uncooled infrared camera working for some time, the non-uniformity caused by detectors, optical lens and camera shells has a serious impact on the imaging. To improve performance, a single frame and multi-frame non-uniformity correction algorithm method is proposed. By the translational motion of scene, we first preprocess the image by using the low-frequency non-uniformity noise correction method in a single frame, then inter-frame images are registered by SIFT algorithm, and we calculate the compensation coefficient by using scene-based coefficient correction algorithm, and finally reduce the non-uniformity of the image. Experimental results show that the algorithm can reduce the roughness of images and effectively overcome ghost.
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Zhuoqun Liu, Shanzhu Xiao, and Huanzhang Lu "A single-frame and multi-frame based method for non-uniformity correction in uncooled infrared camera", Proc. SPIE 11933, 2021 International Conference on Neural Networks, Information and Communication Engineering, 1193313 (15 October 2021); https://doi.org/10.1117/12.2615200
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KEYWORDS
Nonuniformity corrections
Image registration
Infrared cameras
Image filtering
Infrared imaging
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