Publication detail
Iterative Phase Correlation Algorithm for High-precision Subpixel Image Registration
HRAZDÍRA, Z. DRUCKMÜLLER, M. HABBAL, S.
English title
Iterative Phase Correlation Algorithm for High-precision Subpixel Image Registration
Type
journal article in Web of Science
Language
en
Original abstract
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.
English abstract
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.
Keywords in English
phase correlation, optimization, sub-pixel registration
Released
20.02.2020
Publisher
IOP PUBLISHING LTD
Location
BRISTOL
ISSN
0067-0049
Volume
247
Number
1
Pages from–to
247–255
Pages count
8
BIBTEX
@article{BUT164310,
author="Zdeněk {Hrazdíra} and Miloslav {Druckmüller} and Shadia Rifai {Habbal},
title="Iterative Phase Correlation Algorithm for High-precision Subpixel Image Registration",
year="2020",
volume="247",
number="1",
month="February",
pages="247--255",
publisher="IOP PUBLISHING LTD",
address="BRISTOL",
issn="0067-0049"
}