Matching pixel and object image sizes during selection based on motion blur

Aleksander K. Tsytsulin; Aleksey I. Bobrovsky; Aleksey V. Morozov

doi:10.1117/12.2593044

22 June 2021 Matching pixel and object image sizes during selection based on motion blur

Aleksander K. Tsytsulin, Aleksey I. Bobrovsky, Aleksey V. Morozov

Proceedings Volume 11793, Optical Technologies for Telecommunications 2020; 117931F (2021) https://doi.org/10.1117/12.2593044
Event: Eighteenth International Scientific and Technical Conference "Optical Technologies for Communications", 2020, Samara, Russian Federation

Abstract

The optimization of decomposition parameters in the problem of selecting distant objects against a starry background based on motion blur (motion smear) is considered. It is shown that this problem is solved in three stages – detection, coordinates estimation, classification. Each of these stages has its own, different optimal ratio of pixel size and lens point spread function. The solution obtained is a specification of Johnson's criteria for the adopted useful signal and background models.

Citation Download Citation

Aleksander K. Tsytsulin, Aleksey I. Bobrovsky, and Aleksey V. Morozov "Matching pixel and object image sizes during selection based on motion blur", Proc. SPIE 11793, Optical Technologies for Telecommunications 2020, 117931F (22 June 2021); https://doi.org/10.1117/12.2593044

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