Detail publikace

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

DRUCKMÜLLER, M.

Originální název

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

Typ

článek v časopise - ostatní, Jost

Jazyk

angličtina

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

Sun, corona, image processing

Autoři

DRUCKMÜLLER, M.

Rok RIV

2013

Vydáno

18. 7. 2013

ISSN

0067-0049

Periodikum

ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES

Ročník

2013 (207)

Číslo

1

Stát

Spojené státy americké

Strany od

25

Strany do

29

Strany počet

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="ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES",
  year="2013",
  volume="2013 (207)",
  number="1",
  pages="25--29",
  issn="0067-0049"
}