adaptive regularization

基本解釋

This thesis analyzes the theoretics of a space-adaptive regularization method for blind image restoration.
對空間自適應(yīng)正則化圖像盲復(fù)原方法的理論和相應(yīng)算法進行分析。
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).
針對這一問題，通過研究正則化參數(shù)的取值原理，提出了一種自適應(yīng)選擇正則化參數(shù)（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，在現(xiàn)有復(fù)原模型的完善上，重新構(gòu)建正則化參數(shù)與正則化項，構(gòu)造了新的具有空間自適應(yīng)性質(zhì)的正則化圖像復(fù)原模型。