A NOISE ADAPTIVE FUZZY EQUALIZATION METHOD FOR PROCESSING SOLAR EXTREME ULTRAVIOLET IMAGES

被引：36

作者：

Druckmueller, M. ^{[1
]}

机构：

[1] Brno Univ Technol, Inst Math, Fac Mech Engn, Brno 61669, Czech Republic

来源：

ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES | 2013年 / 207卷 / 02期

关键词：

Sun: corona; techniques: image processing; ECLIPSE OBSERVATIONS; CORONA;

D O I：

10.1088/0067-0049/207/2/25

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

摘要：

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.

引用

页数：5

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