在加权最小二乘的基础上，结合PDE正则化，提出了一种视频图像序列超分辨率重建的自适应滤波方法。
An adaptive filter for video image sequence super resolution reconstruction is proposed on the basis of the weighted least square and PDE regularization in this paper.
根据数据目标函数、模型约束目标函数和正则化因子之间的关系，提出了两种正则化因子自适应调节方法。
Third two adaptive methods of regularized factors are put forward based on the relations of data object function, model constraint object function, and regularized factor.
对空间自适应正则化图像盲复原方法的理论和相应算法进行分析。
This thesis analyzes the theoretics of a space-adaptive regularization method for blind image restoration.
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