Publication detail

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

DRUCKMÜLLER, M.

Original Title

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

Type

journal article - other

Language

English

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

Sun, corona, image processing

Authors

DRUCKMÜLLER, M.

RIV year

2013

Released

18. 7. 2013

ISBN

0067-0049

Periodical

ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES

Year of study

2013 (207)

Number

1

State

United States of America

Pages from

25

Pages to

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