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镜头优化中的自动图像性能平衡

Automatic image performance balancing in lens optimization.

作者信息

Cheng Dewen, Wang Yongtian, Hua Hong

机构信息

Department of Optoelectronic Engineering, Beijing Institute of Technology, Beijing 100081, China.

出版信息

Opt Express. 2010 May 24;18(11):11574-88. doi: 10.1364/OE.18.011574.

Abstract

In the final stage of lens design, it is usually a critical step to balance the optical performance of a lens system across the sampled fields, which is achieved by adjusting the weights to these fields. Because the current optical design software packages use fixed weights in the optimization process, the task of weight adjustment is left to the optical designer, who has to change the weights manually after each optimization trail. However, this process may take a very long time to finish, especially when many fields of the lens system are sampled, and the results are subjectively affected by the designer's design experience. In this paper, we propose an automatic performance balancing method. An automatic outer loop is added in the optimization process. The weight for each sampled field and azimuth is calculated appropriately according to the actual performance of the current design and the system requirements, and it is applied to the corresponding field and azimuth automatically in the next optimization trial. The method is successfully implemented in CODE V, and design examples show that it is very effective.

摘要

在透镜设计的最后阶段,平衡透镜系统在采样视场中的光学性能通常是关键步骤,这通过调整这些视场的权重来实现。由于当前的光学设计软件包在优化过程中使用固定权重,权重调整任务留给了光学设计师,他们必须在每次优化试验后手动更改权重。然而,这个过程可能需要很长时间才能完成,特别是当透镜系统的许多视场被采样时,并且结果会受到设计师设计经验的主观影响。在本文中,我们提出了一种自动性能平衡方法。在优化过程中添加了一个自动外环。根据当前设计的实际性能和系统要求,适当地计算每个采样视场和方位的权重,并在下一次优化试验中自动应用于相应的视场和方位。该方法在CODE V中成功实现,设计实例表明它非常有效。

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