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.

Originální název

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

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

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

image processing

Autoři

DRUCKMÜLLER, M.; DRUCKMÜLLEROVÁ, H.

Rok RIV

2014

Vydáno

1. 5. 2014

Nakladatel

Springer

ISSN

0302-9743

Periodikum

Lecture Notes in Computer Science

Ročník

2014(8466)

Číslo

5

Stát

Spolková republika Německo

Strany od

262

Strany do

271

Strany počet

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"
}