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Bibliographic Details
Main Authors: Zheng, Jie, Jiang, Linqiao, Tian, Jianfeng
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2404.09912
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author Zheng, Jie
Jiang, Linqiao
Tian, Jianfeng
author_facet Zheng, Jie
Jiang, Linqiao
Tian, Jianfeng
contents This paper introduces an astronomical image alignment algorithm. This algorithm uses the means of the rows and columns of the original image for alignment, and finds the optimal offset corresponding to the maximum similarity by comparing different offsets between images. The similarity is evaluated by the standard deviation of the quotient divided by the means. This paper also discusses the theoretical feasibility of this algorithm. Through practical testing, it has been confirmed that the algorithm is fast and robust.
format Preprint
id arxiv_https___arxiv_org_abs_2404_09912
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A fast photometric image alignment algorithm with row and column means
Zheng, Jie
Jiang, Linqiao
Tian, Jianfeng
Instrumentation and Methods for Astrophysics
This paper introduces an astronomical image alignment algorithm. This algorithm uses the means of the rows and columns of the original image for alignment, and finds the optimal offset corresponding to the maximum similarity by comparing different offsets between images. The similarity is evaluated by the standard deviation of the quotient divided by the means. This paper also discusses the theoretical feasibility of this algorithm. Through practical testing, it has been confirmed that the algorithm is fast and robust.
title A fast photometric image alignment algorithm with row and column means
topic Instrumentation and Methods for Astrophysics
url https://arxiv.org/abs/2404.09912