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太阳色球图像的选帧处理

Image Processing with Frame Selection for Hα Solar Chromosphere Images

  • 摘要: 讲述抚仙湖太阳观测站的色球图像的选帧处理,主要针对观测数据的网上发布,处理过程主要由选帧和简单位移叠加(SAA)组成。使用在太阳光球图像处理中提出的斑点干涉术选帧法对图像进行选取。对太阳等扩展目标,简单位移叠加的位移量由图像和参考图像的相关极大值位置确定,参考图像选像质最好的一帧。选帧处理过程算法简单,处理速度快,相比斑点掩模法可以节省大量的重建时间,通过观察得到的处理结果还可以确定数据是否有用斑点掩模法进行进一步处理的必要。

     

    Abstract: The new vacuum solar telescope at the Fuxian Lake Solar Observation Station is currently the largest ground-based solar telescope in China. It can simultaneously collect Tio and Hα solar images. In this paper we present a method of processing Hα solar chromosphere images observed with the new telescope by selecting image frames of sufficient quality. The method is mainly based on the frame-selection technique and the Shift-And-Add (SAA) technique. It is for online publishing of observational data from the new telescope. The frame-selection technique incorporates the Speckle Interferometry (SI) and is originally used for observation of the solar photosphere. This technique can cleanly subtract object intensities in images to retain only distortions due to the telescope and atmospheric turbulences. For extended objects such as the sun, the shift vector in an SAA operation is usually determined by cross correlating observed-data frames with a reference frame, which is the best-quality frame among the data frames. Our method is simple and fast, e.g., it can reconstruct data in much less time than the speckle-masking method. Results from this method can also be processed with other methods (e.g. the speckle-masking method) if needed. We briefly describe the SAA and SI techniques, including some results of the SI technique. We finally present processing results of some observational data using our method.

     

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