Due to the influence of atmospheric turbulence, a time-variate video of an observed object by using the astronomical telescope drifts randomly with the passing of time. Thereafter, a series of images is obtained snapshotting from the video. In this paper, a method is proposed to improve the quality of astronomical images only through multiframe image registration and superimposition for the first time. In order to overcome the influence of anisoplanatism, a specific image registration algorithm based on multiple local homography transformations is proposed. Superimposing registered images can achieve an image with high definition. As a result, signal-to-noise ratio, contrast-to-noise ratio, and definition are improved significantly.

中文翻译：

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基于块状单应估计的多帧天文图像配准

由于大气湍流的影响，使用天文望远镜观察到的物体的时变视频随时间的流逝而随机漂移。此后，从视频快照中获得一系列图像。本文提出了一种仅通过多帧图像配准和叠加来提高天文图像质量的方法。为了克服各向异性的影响，提出了一种基于多重局部单应性变换的图像配准算法。叠加注册图像可以实现高清晰图像。结果，信噪比，对比度噪声比和清晰度得到显着改善。