Detail publikace

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

DRUCKMÜLLER, M. DRUCKMÜLLEROVÁ, H.

Anglický název

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

Typ

Článek WoS

Jazyk

en

Originální abstrakt

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

Klíčová slova anglicky

image processing

Vydáno

2014-05-01

Nakladatel

Springer

ISSN

0302-9743

Časopis

Lecture Notes in Computer Science

Ročník

2014(8466)

Číslo

5

Strany od–do

262–271

Počet stran

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"
}