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Astronomiyada kosmik tasvirlarni qayta ishlash va tahlil qilish

Authors

  • Mardonbek Saksonboyev

    Author
  • Lochinbek Dalibekov

    Author

Abstract

 This article discusses methods of processing and analyzing cosmic 
images in astronomy. Images obtained from space telescopes and satellites contain noise, 
errors, and uncertainties, making their processing and analysis necessary. The article 
covers noise reduction, contrast enhancement, filtering, image stacking, and analysis using 
machine learning techniques.

Author Biography

  • Lochinbek Dalibekov

    Ilmiy rahbar 

References

1. Astropy Collaboration. Astropy: A community Python package for astronomy.

Astronomy & Astrophysics, 558, A33, 2013.

2. Berry, R., & Burnell, J. The Handbook of Astronomical Image Processing. Willmann

Bell, 2005.

3. Bertin, E., & Arnouts, S. SExtractor: Software for source extraction. Astronomy &

Astrophysics Supplement Series, 117, 393–404, 1996.

4. Gonzalez, R. C., & Woods, R. E. Digital Image Processing. Pearson, 4th фEdition,

2018.

5. Massey, P., & Jacoby, G. Astronomical Image Processing. Annual Review of

Astronomy and Astrophysics, 45, 2007.

6. Lupton, R., Statistics in Astronomy: Image Processing and Analysis Techniques.

Princeton University Press, 2004.

7. NASA, Hubble Space Telescope Image Processing Guidelines, NASA website,

https://www.nasa.gov/hubble

8. Starck, J.-L., & Murtagh, F. Astronomical Image and Data Analysis. Springer,

2006.

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Published

2025-12-25