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DRUCKMÜLLER, M.
Original Title
A Noise Adaptive Fuzzy Equalization Method for Processing of Extreme Ultraviolet Images SOLAR EXTREME ULTRAVIOLET IMAGES
English Title
Type
Peer-reviewed article not indexed in WoS or Scopus
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.
English abstract
Keywords
Sun, corona, image processing
Key words in English
Authors
RIV year
2014
Released
18.07.2013
ISBN
0067-0049
Periodical
ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES
Volume
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" }