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。

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Through changing regularized parameter values and selecting a reasonable initial regularized parameter value in inversion procedure, the inversion result and convergent speed are improved.

在反演过程中，通过改变正则参数数值以及合理地选择正则参数的初值，改善反演结果，提高反演收敛速度。

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By apriori choosing regularization parameter, optimal convergence order of the regularized solution is obtained.

通过适当选取正则参数，证明了正则解具有最优的渐近收敛阶。

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