中文摘要：

提出了一种基于刃边法PSF估计和保边缘正则化方法的遥感影像复原方法,利用刃边法,建立正则化复原模型,以及最速下降法进行复原,实现了优于传统的维纳滤波、约束最小平方等方法的复原效果。

英文摘要：

We present a remote sensing restoration method based on knife-edge PSF estimation and edge-preserving regularization model.Based on typical image area,the knife-edge method is used to obtain edge spread function and point spread function.The Huber-Markov prior model is employed to establish the recovery model.The steepest descent method is used to solve the restored image.Experimental results show that this method is superior to traditional recovering methods.