Detail publikačního výsledku

Iterative Phase Correlation Algorithm for High-precision Subpixel Image Registration

HRAZDÍRA, Z.; DRUCKMÜLLER, M.; HABBAL, S.

Originální název

Iterative Phase Correlation Algorithm for High-precision Subpixel Image Registration

Anglický název

Iterative Phase Correlation Algorithm for High-precision Subpixel Image Registration

Druh

Článek WoS

Originální abstrakt

Many astrophysical observations and measurement techniques that rely on data from images include an image registration step. The results of such techniques thus heavily rely on the precision of the registration. We present an Iterative Phase Correlation (IPC) algorithm, which is an extension of the well-known phase correlation method of image registration and is ideally suited for problems, where the subpixel registration accuracy plays a crucial role. Furthermore, a sophisticated and reliable method of optimal IPC parameter estimation is described. The paper includes examples of such optimized parameters for Solar Dynamics Observatory (SDO)/Helioseismic and Magnetic Imager, SDO/Atmospheric Imaging Assembly, and Solar Terrestrial Relations Observatory A/B Sun Earth Connection Coronal and Heliospheric Investigation images. The new method (both with or without the parameter optimization step) significantly outperforms standard image registration methods, such as (non-iterative) phase correlation or (normalized) cross correlation in the sense of subpixel accuracy. A step-by-step pseudocode implementation is also included.

Anglický abstrakt

Many astrophysical observations and measurement techniques that rely on data from images include an image registration step. The results of such techniques thus heavily rely on the precision of the registration. We present an Iterative Phase Correlation (IPC) algorithm, which is an extension of the well-known phase correlation method of image registration and is ideally suited for problems, where the subpixel registration accuracy plays a crucial role. Furthermore, a sophisticated and reliable method of optimal IPC parameter estimation is described. The paper includes examples of such optimized parameters for Solar Dynamics Observatory (SDO)/Helioseismic and Magnetic Imager, SDO/Atmospheric Imaging Assembly, and Solar Terrestrial Relations Observatory A/B Sun Earth Connection Coronal and Heliospheric Investigation images. The new method (both with or without the parameter optimization step) significantly outperforms standard image registration methods, such as (non-iterative) phase correlation or (normalized) cross correlation in the sense of subpixel accuracy. A step-by-step pseudocode implementation is also included.

Klíčová slova

phase correlation, optimization, sub-pixel registration

Klíčová slova v angličtině

phase correlation, optimization, sub-pixel registration

Autoři

HRAZDÍRA, Z.; DRUCKMÜLLER, M.; HABBAL, S.

Rok RIV

2021

Vydáno

20.02.2020

Nakladatel

IOP PUBLISHING LTD

Místo

BRISTOL

ISSN

0067-0049

Periodikum

ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES

Svazek

247

Číslo

1

Stát

Spojené státy americké

Strany od

247

Strany do

255

Strany počet

8

URL

https://iopscience.iop.org/article/10.3847/1538-4365/ab63d7

BibTex

@article{BUT164310,
  author="Zdeněk {Hrazdíra} and Miloslav {Druckmüller} and Shadia Rifai {Habbal}",
  title="Iterative Phase Correlation Algorithm for High-precision Subpixel Image Registration",
  journal="ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES",
  year="2020",
  volume="247",
  number="1",
  pages="247--255",
  doi="10.3847/1538-4365/ab63d7",
  issn="0067-0049",
  url="https://iopscience.iop.org/article/10.3847/1538-4365/ab63d7"
}