Computer Optics
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Computer Optics:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Computer Optics, 2023, Volume 47, Issue 1, Pages 79–91
DOI: https://doi.org/10.18287/2412-6179-CO-1141
(Mi co1105)
 

This article is cited in 2 scientific papers (total in 2 papers)

IMAGE PROCESSING, PATTERN RECOGNITION

Correction of rotational blur in images of stars observed by an astroinertial attitude sensor against the background of the daytime sky

N. N. Vasilyuk

Electrooptika, LLC, 107076, Moscow, Russia, Stromynka, d.18, k.1
References:
Abstract: A rotational blur correction algorithm is considered as the initial stage of image processing in the problem of attitude measurement using a star tracker. To implement this algorithm, the star tracker must be equipped with a three-axis gyroscope. The algorithm does not guarantee the detection of an image of a star against the background of the daytime sky in one frame but facilitates conditions for subsequent image stacking. The correction aims to localize energy maxima of the blurred star images in pixels with predetermined characteristics. The correction highlights these pixels against the background and improves the signal-to-noise ratio, though deteriorating the artistic quality of the whole digital image. The key characteristic of the pixel of maximum localization is that it is where the geometric image of the star is found at the start of the exposure of the frame under correction. The correction is performed in the form of frame processing with a digital finite-impulse-response (FIR) filter. The impulse response of the filter is inhomogeneous and represents a core of rotational blur, synthesized in each pixel of the corrected frame. Algorithms for calculating levels of the signal, background, and noise in the image of a star observed against the background of the daytime sky with a rotating camera are described. Dependences of the signal-to-noise ratios in various pixels of a blurred image on the exposure time and on the angular velocity of the camera rotation are analyzed. The signal-to-noise ratios in the star image before and after the blur correction are calculated. The simulation results are illustrated by the example of an image of a bright star, clearly showing specific features of the proposed rotational blur correction algorithm.
Keywords: daytime star tracker, gyroscope, daytime sky, rotational blur, blur correction, matched filter
Received: 04.04.2022
Accepted: 20.07.2022
Document Type: Article
Language: Russian
Citation: N. N. Vasilyuk, “Correction of rotational blur in images of stars observed by an astroinertial attitude sensor against the background of the daytime sky”, Computer Optics, 47:1 (2023), 79–91
Citation in format AMSBIB
\Bibitem{Vas23}
\by N.~N.~Vasilyuk
\paper Correction of rotational blur in images of stars observed by an astroinertial attitude sensor against the background of the daytime sky
\jour Computer Optics
\yr 2023
\vol 47
\issue 1
\pages 79--91
\mathnet{http://mi.mathnet.ru/co1105}
\crossref{https://doi.org/10.18287/2412-6179-CO-1141}
Linking options:
  • https://www.mathnet.ru/eng/co1105
  • https://www.mathnet.ru/eng/co/v47/i1/p79
  • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Computer Optics
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024