太阳斑点图像重建是天文观测领域中一个重要的研究问题。通过地基光学望远镜获取的天文图像受大气湍流和大气扰动的影响，会发生严重的模糊或降质，需要借助图像复原方法进行重建。正则化方法是图像盲复原的经典算法，它通过构造正则项实现模糊核与清晰图像的迭代求解，现有大多数正则化方法都是针对单幅图像进行处理，图像特征越多，重建效果越好，而单幅太阳斑点图由于特征不足会导致重建图像质量较差。本文结合多帧斑点图之间的互补关系建立了适合太阳斑点图重建的多帧盲复原模型，并结合L-like曲线法，对正则化参数进行计算。实验结果表明，本文方法能较好地实现太阳斑点图的复原，满足天文观测的要求。
Solar speckle image reconstruction is an important research issue in the field of astronomical observation. Astronomical images acquired through ground-based optical telescopes will be affected by atmospheric turbulence and atmospheric disturbances, and will be seriously blurred or degraded, and need to be reconstructed using image restoration methods. The regularization method is a classic algorithm for blind image restoration. It constructs regularization terms to achieve iterative solution of fuzzy kernels and clear images. Most of the existing regularization methods deal with a single image. The more image features, the better the reconstruction effect, and the single solar speckle image could cause poor quality of the reconstructed image due to insufficient features. In this paper, a multi-frame blind restoration model suitable for the reconstruction of solar speckle images is established based on the complementary relationship between the multi-frame speckle images, and combined with the L-like curve method, the regularization parameters are calculated. Experimental results show that the proposed method can better restore the solar speckle image and meet the requirements of astronomical observation.
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