Devising a procedure for the brightness alignment of astronomical frames background by a high frequency filtration to improve accuracy of the brightness estimation of objects

Authors

DOI:

https://doi.org/10.15587/1729-4061.2024.301327

Keywords:

brightness equalization, high-pass filtering, ideal filter, Butterworth filter, Gaussian filter

Abstract

The object of this study is the background substrate of astronomical frames. To detect and compare the image of an object in a frame with its real image from astronomical catalogs, it is necessary to uniformly distribute the brightness of the background image substrate. Most often, the background alignment of astronomical frames is performed using the hardware calibration method applying the construction of service frames. However, it does not make it possible to eliminate the background from temporary stray light. Therefore, to solve this problem, a procedure has been proposed for brightness alignment of the background frame using high-pass filtering.

For high-pass filtering of images, three high-pass filters were considered – an ideal filter, a Butterworth filter, and a Gaussian filter. To remove coarse-grained image components from the image, a high-pass filter was used, which attenuates low-frequency harmonics of the image spectrum while simultaneously passing high-frequency harmonics.

Applying the devised procedure for brightness alignment of the background substrate of the frame has made it possible to increase the signal-to-noise ratio and reduce the dynamic range of the background substrate of the image. The study showed that when assessing brightness and identifying frames, the fitting provides better accuracy of reference to the starry sky. Also, the standard deviation of frame identification errors in this case is 5–7 times less than without using the devised procedure.

The devised procedure for brightness alignment of the background frame substrate was tested in practice within the framework of the CoLiTec project. It was implemented at the stage of intra-frame processing in the Lemur software for automated detection of new objects and tracking of known objects

Author Biographies

Vladimir Vlasenko, National Space Facilities Control and Test Center

PhD

Space Research and Communications Center

Sergii Khlamov, Kharkiv National University of Radio Electronics

PhD, Assistant

Department of Media Systems and Technologies

Vadym Savanevych, Kharkiv National University of Radio Electronics

Doctor of Technical Sciences, Professor

Department of Systems Engineering

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Devising a procedure for the brightness alignment of astronomical frames background by a high frequency filtration to improve accuracy of the brightness estimation of objects

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Published

2024-04-30

How to Cite

Vlasenko, V., Khlamov, S., & Savanevych, V. (2024). Devising a procedure for the brightness alignment of astronomical frames background by a high frequency filtration to improve accuracy of the brightness estimation of objects. Eastern-European Journal of Enterprise Technologies, 2(2 (128), 31–38. https://doi.org/10.15587/1729-4061.2024.301327

Issue

Vol. 2 No. 2 (128) (2024): Information technology. Industry control systems

Section

Information technology

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Copyright (c) 2024 Vladimir Vlasenko, Sergii Khlamov, Vadym Savanevych

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