adaptive regularization

基本解释

This thesis analyzes the theoretics of a space-adaptive regularization method for blind image restoration.
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。
In order to solve the problem, we research into the regularization parameter and present a new method of adaptive selection of the regularization parameter (ASRP).
针对这一问题，通过研究正则化参数的取值原理，提出了一种自适应选择正则化参数（ASRP）的新方法。
Secondly, to perfect the known restoring models, a new space-adaptive regularization model of image restoration is constructed by redesigning regularized parameter and regularized item.
第二，在现有复原模型的完善上，重新构建正则化参数与正则化项，构造了新的具有空间自适应性质的正则化图像复原模型。