Publication detail

A Noise Adaptive Fuzzy Equalization Method with Variable Neighborhood for Processing of High Dynamic Range Images in Solar Corona Research

DRUCKMÜLLER, M. DRUCKMÜLLEROVÁ, H.

English title

A Noise Adaptive Fuzzy Equalization Method with Variable Neighborhood for Processing of High Dynamic Range Images in Solar Corona Research

Type

WoS Article

Language

en

Original abstract

This paper presents a generalization of the Noise Adaptive Fuzzy Equalization Method (NAFE) which was developed for visualization of high dynamic range (HDR) images produced by the Atmospheric Imaging Assembly (AIA) aboard the Solar Dynamics Observatory (SDO) spacecraft launched by NASA in 2010. This generalization widens the usability of the NAFE method to HDR images with extreme brightness gradient and with significantly different parts. This type of images is typical for imaging of solar corona by means of white-light coronagraphs and during total solar eclipses however the method may have much wider field of usage even outside the solar research

Keywords in English

image processing

Released

2014-05-01

Publisher

Springer

ISSN

0302-9743

Journal

Lecture Notes in Computer Science

Volume

2014(8466)

Number

5

Pages from–to

262–271

Pages count

10

BIBTEX


@article{BUT107602,
  author="Miloslav {Druckmüller} and Hana {Druckmüllerová}",
  title="A Noise Adaptive Fuzzy Equalization Method with Variable Neighborhood for Processing of High Dynamic Range Images in Solar Corona Research",
  journal="Lecture Notes in Computer Science",
  year="2014",
  volume="2014(8466)",
  number="5",
  pages="262--271",
  doi="10.1007/s11207-014-0482-1",
  issn="0302-9743"
}