基于空间域共轭梯度算法的盲目图像复原方法由于在复原过程中追求了充分平滑，使得复原图像中的边缘细节信息有所损失。

The restored image obtained by using the space domain conjugate gradient algorithm is too smooth and loses some information about the edge detail.

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数值效果显示在数值结果差不多的情况下我们的方法在计算时间上比信赖域-截断共轭梯度法有优越性。

Numerical results demonstrate that our approach is effective, by noting that the computation time is largely shortened in comparison with the trust-truncate CG method.

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提出一种基于非线性共轭梯度法的唯相直接数据域最小二乘算法。

A phase-only direct data domain least square (D3LS) algorithm based on the nonlinear conjugate gradient method was proposed.

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