Publication detail

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

DRUCKMÜLLER, M.

English title

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

Type

Peer-reviewed article not indexed in WoS or Scopus

Language

en

Original abstract

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.

Keywords in English

Sun, corona, image processing

Released

2013-07-18

ISSN

0067-0049

Journal

The Astrophysical journal. Supplement series

Volume

2013 (207)

Number

1

Pages from–to

25–29

Pages count

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"
}