中文摘要：

为了解决地基天文观测中由大气湍流造成的图像模糊问题，利用基于稀疏测度的PSF估计算法实现PSF准确信息的重构，提出一种变正则化参数的改进的稀疏测度PSF估计算法，通过选择合理的参数，提高了PSF估计精度。实验结果表明，改进后的算法能更准确地估计PSF，提高图像复原的效果。

英文摘要：

In order to overcome the blurring effect caused by atmosphere turbulence in ground based astronomy, the PSF esti- mation algorithm based on sparsity measure is used to restore the accurate PSF information. An improved sparsity measure PSF estimation algorithm based on variational regularization parameters is proposed, which can adaptively correct the regu- larization parameter and improve the estimation precision of PSF, Experimental results show that the proposed algorithm can estimate PSF more accurately and the image restoration is improved