An Overview of Modern Methods for Restoring Astronomical Images Under Atmospheric Turbulence
https://doi.org/10.25205/1818-7900-2025-23-3-32-43
Abstract
This article presents a review and comparative analysis of modern methods for correcting optical distortions in astrophotography acquired under conditions of atmospheric turbulence. The study investigates the physical and theoretical foundations of distortion formation, including atmospheric turbulence, optical aberrations, and noise inherent to the image acquisition process. The objective of this work is to systematize existing approaches and identify the most effective methods applicable to both amateur and professional astrophotography. The analysis covers image resolution restoration algorithms such as classical deconvolution (including the Richardson–Lucy algorithm and Wiener filtering), blind deconvolution, multi-frame processing, and neural network-based techniques. The results of the comparative analysis demonstrate that multi-frame algorithms and neural network approaches exhibit the highest efficiency under constrained computational resources and incomplete knowledge of the point spread function.
About the Authors
K. Yu. Moskalenko
Novosibirsk State University
Russian Federation
Russian Federation
Konstantin Yu. Moskalenko, Master’s Student
Novosibirsk
O. D. Pogibelnaya
Novosibirsk State University
Russian Federation
Russian Federation
Olga D. Pogibelnaya, Bachelor’s Student
Novosibirsk
D. S. Miginsky
Novosibirsk State University; A. P. Ershov Institute of Informatics Systems SB RAS
Russian Federation
Russian Federation
Denis S. Miginsky, Candidate of Science in Physics and Mathematics, Associate Professor
Novosibirsk
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Review
For citations:
Moskalenko K.Yu., Pogibelnaya O.D., Miginsky D.S. An Overview of Modern Methods for Restoring Astronomical Images Under Atmospheric Turbulence. Vestnik NSU. Series: Information Technologies. 2025;23(3):32-43. (In Russ.) https://doi.org/10.25205/1818-7900-2025-23-3-32-43
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