Detail publikace

A Noise Adaptive Fuzzy Equalization Method for Processing of Extreme Ultraviolet Images SOLAR EXTREME ULTRAVIOLET IMAGES

DRUCKMÜLLER, M.

Anglický název

A Noise Adaptive Fuzzy Equalization Method for Processing of Extreme Ultraviolet Images SOLAR EXTREME ULTRAVIOLET IMAGES

Typ

Článek recenzovaný mimo WoS a Scopus

Jazyk

en

Originální abstrakt

A new image enhancement tool ideally suited for the visualization of fine structures in extreme ultraviolet images of the corona is presented in this paper. The Noise Adaptive Fuzzy Equalization method is particularly suited for the exceptionally high dynamic range images from the Atmospheric Imaging Assembly instrument on the Solar Dynamics Observatory. This method produces artifact-free images and gives significantly better results than methods based on convolution or Fourier transform which are often used for that purpose.

Klíčová slova anglicky

Sun, corona, image processing

Vydáno

2013-07-18

ISSN

0067-0049

Časopis

The Astrophysical journal. Supplement series

Ročník

2013 (207)

Číslo

1

Strany od–do

25–29

Počet stran

5

BIBTEX


@article{BUT100754,
  author="Miloslav {Druckmüller}",
  title="A Noise Adaptive Fuzzy Equalization Method for Processing of Extreme Ultraviolet Images SOLAR EXTREME ULTRAVIOLET IMAGES",
  journal="The Astrophysical journal. Supplement series",
  year="2013",
  volume="2013 (207)",
  number="1",
  pages="25--29",
  issn="0067-0049"
}