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.

中文翻译：

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一种行列均值的快速光度图像对准算法

本文介绍了一种天文图像对齐算法。该算法利用原始图像的行和列的均值进行对齐，通过比较图像之间的不同偏移量来找到最大相似度对应的最佳偏移量。相似度通过商除以平均值的标准差来评估。本文还讨论了该算法的理论可行性。通过实际测试，证实该算法快速且鲁棒。