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The aim of this work was developing an algorithm eliminating the atmospheric distortion and improves image quality. The proposed algorithm is entirely software without using additional hardware photographic equipment. . This algorithm does not required preliminary calibration. It can work equally effectively with the images obtained at a distances from 1 to 500 meters. An algorithm for the open air images improve designed for Raspberry Pi model B on-board vision systems is proposed. The results of experimental examination are given.
Sergey Kirillov,Ivan Kostkin,Valery Strotov,Vladimir Dmitriev,Vadim Berdnikov,Eduard Akopov, andAleksey Elyutin
"Increasing the object recognition distance of compact open air on board vision system", Proc. SPIE 10007, High-Performance Computing in Geoscience and Remote Sensing VI, 1000704 (24 October 2016); https://doi.org/10.1117/12.2241961
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Sergey Kirillov, Ivan Kostkin, Valery Strotov, Vladimir Dmitriev, Vadim Berdnikov, Eduard Akopov, Aleksey Elyutin, "Increasing the object recognition distance of compact open air on board vision system," Proc. SPIE 10007, High-Performance Computing in Geoscience and Remote Sensing VI, 1000704 (24 October 2016); https://doi.org/10.1117/12.2241961