Development of a procedure for fragmenting astronomical frames to accelerate high frequency filtering

Authors

DOI:

https://doi.org/10.15587/1729-4061.2024.306227

Keywords:

frame fragmentation, multiprocessing, high-pass filtering, ideal filter, Butterworth filter, Gaussian filter

Abstract

The object of this study is the process of filtering astronomical frames that contain images of potential objects in the Solar System. To contour the image of each such object and recognize it in contrast with the background of the frame, it is necessary to filter the image. Most often, a variety of high-pass filters are used to determine the high-frequency component of the image, which can be removed as a coarse-grained component. Any image filtering is aimed at increasing the signal-to-noise ratio and reducing the dynamic range of the background image. However, the filtering process is quite resource- and time-consuming. This is especially true for systems for parallel processing of series of astronomical frames in real time (online). Therefore, to solve the problem of lack of frame fragmentation, which leads to high consumption of RAM, a procedure for fragmenting astronomical frames has been proposed.

Owing to the introduction of a formal connection between the values of frame pixels and fragments, as well as determining their number, it was possible to reduce RAM utilization. Testing was carried out using the following high-pass filters ‒ ideal filter, Butterworth filter, and Gaussian filter. Using the devised procedure for fragmenting astronomical frames has made it possible to reduce the utilization of RAM during filtering. As a result, with parallel processing, this has also made it possible to speed up the high-frequency filtering procedure itself.

The procedure devised for fragmenting astronomical frames was tested in practice within the framework of the CoLiTec project. It was implemented in the On-Line Data Analysis System (OLDAS) of the Lemur software.

The study showed that when using the devised procedure, RAM utilization was reduced by 7–10 times. And the speed of filtration itself increased by 2–3 times. Accordingly, the processing time for each astronomical frame was reduced by 2–3 times

Author Biographies

Vladimir Vlasenko, National Space Facilities Control and Test Center

PhD

Space Research and Communications Center

Sergii Khlamov, SoftServe

PhD, Test Automation Lead

Vadym Savanevych, Kharkiv National University of Radio Electronics

Doctor of Technical Sciences, Professor

Department of Systems Engineering

Tetiana Trunova, Kharkiv National University of Radio Electronics

Engineer

Department of Media Systems and Technologies

Zhanna Deineko, Kharkiv National University of Radio Electronics

PhD, Associate Professor

Department of Media Systems and Technologies

Iryna Tabakova, Kharkiv National University of Radio Electronics

PhD, Associate Professor

Department of Media Systems and Technologies

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Development of a procedure for fragmenting astronomical frames to accelerate high frequency filtering

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Published

2024-06-28

How to Cite

Vlasenko, V., Khlamov, S., Savanevych, V., Trunova, T., Deineko, Z., & Tabakova, I. (2024). Development of a procedure for fragmenting astronomical frames to accelerate high frequency filtering. Eastern-European Journal of Enterprise Technologies, 3(9 (129), 70–77. https://doi.org/10.15587/1729-4061.2024.306227

Issue

Vol. 3 No. 9 (129) (2024): Information and controlling system

Section

Information and controlling system

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Copyright (c) 2024 Vladimir Vlasenko, Sergii Khlamov, Vadym Savanevych, Tetiana Trunova, Zhanna Deineko, Iryna Tabakova

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