  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.
