Skip to main content

A Noise Adaptive Fuzzy Equalization Method with Variable Neighborhood for Processing of High Dynamic Range Images in Solar Corona Research

  • Conference paper
Combinatorial Image Analysis (IWCIA 2014)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8466))

Included in the following conference series:

  • 916 Accesses

Abstract

This paper presents a generalization of the Noise Adaptive Fuzzy Equalization Method (NAFE) which was developed for visualization of high dynamic range (HDR) images produced by the Atmospheric Imaging Assembly (AIA) aboard the Solar Dynamics Observatory (SDO) spacecraft launched by NASA in 2010. This generalization widens the usability of the NAFE method to HDR images with extreme brightness gradient and with significantly different parts. This type of images is typical for imaging of solar corona by means of white-light coronagraphs and during total solar eclipses however the method may have much wider field of usage even outside the solar research.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Druckmüller, M.: A noise adaptive fuzzy equalization method for processing solar extreme ultraviolet images. The Astrophysical Journal Supplement Series 207, 25–29 (2013)

    Article  Google Scholar 

  2. Druckmüller, M., Rušin, V., Minarovjech, M.: A new numerical method of total solar eclipse photography processing. Contributions of the Astronomical Observatory Skalnate Pleso 36, 131–148 (2006)

    Google Scholar 

  3. Druckmüllerová, H., Morgan, H., Habbal, S.R.: Enhancing coronal structures with the Fourier Normalizing-Radial-Graded Filter. The Astrophysical Journal 737, 88–97 (2011)

    Article  Google Scholar 

  4. Habbal, S.R., Druckmüller, M., Morgan, H., et al.: Total solar eclipse observations of hot prominence shrouds. The Astrophysical Journal 719, 1362–1369 (2010)

    Article  Google Scholar 

  5. Habbal, S.R., Druckmüller, M., Morgan, H., et al.: Thermodynamics of the solar corona and evolution of the solar magnetic field as inferred from the total solar eclipse observations of 2010 July 11. The Astrophysical Journal 734, 120–137 (2011)

    Article  Google Scholar 

  6. Hogg, R.V., McKean, J.W., Craig, A.T.: Introduction to Mathematical Statistics, 6th edn. Pearson Prentice Hall (2005)

    Google Scholar 

  7. Morgan, H., Habbal, S.R., Woo, R.: The depiction of coronal structure in white-light images. Solar Physics 236, 263–272 (2006)

    Article  Google Scholar 

  8. Pasachoff, J.M., Rušin, V., Druckmüller, M., Saniga, M.: Fine structures in the white-light solar corona at the 2006 eclipse. The Astrophysical Journal 665, 824–829 (2007)

    Article  Google Scholar 

  9. Pasachoff, J.M., Rušin, V., Druckmüller, M., et al.: Polar plume brightening during the 2006 March 29 total eclipse. The Astrophysical Journal 682, 638–643 (2008)

    Article  Google Scholar 

  10. Pratt, W.K.: Digital image processing: PIKS inside, 3rd edn. Wiley, New York (2001)

    Book  Google Scholar 

  11. Zadeh, L.A.: Fuzzy sets. Information and Control 8, 338–353 (1965)

    Article  MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Druckmüller, M., Druckmüllerová, H. (2014). A Noise Adaptive Fuzzy Equalization Method with Variable Neighborhood for Processing of High Dynamic Range Images in Solar Corona Research. In: Barneva, R.P., Brimkov, V.E., Šlapal, J. (eds) Combinatorial Image Analysis. IWCIA 2014. Lecture Notes in Computer Science, vol 8466. Springer, Cham. https://doi.org/10.1007/978-3-319-07148-0_23

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-07148-0_23

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07147-3

  • Online ISBN: 978-3-319-07148-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics