Yang Huizhen, Tang Lingzhe, Yan Zhaojun, Chen Peng, Yang Wenjie, Li Xianshuo, Ge Yongqi
Engineering School of Networks & Telecommunications, Jinling Institute of Technology, Nanjing 211169, China.
The Astronomical Optical Instrument Group, Shanghai Astronomical Observatory, Chinese Academy of Sciences, Shanghai 200030, China.
Micromachines (Basel). 2024 Dec 31;16(1):50. doi: 10.3390/mi16010050.
Adaptive optics (AO) systems are capable of correcting wavefront aberrations caused by transmission media or defects in optical systems. The deformable mirror (DM) plays a crucial role as a component of the adaptive optics system. In this study, our focus is on analyzing the ability of a 97-element MEMS (Micro-Electro-Mechanical System) DM to correct blurred images of extended sources affected by atmospheric turbulence. The RUN optimizer is employed as the control method to evaluate the correction capability of the DM through simulations and physical experiments. Simulation results demonstrate that within 100 iterations, both the normalized gray variance and Strehl Ratio can converge, leading to an improvement in image quality by approximately 30%. In physics experiments, we observe an increase in normalized gray variance (NGV) from 0.53 to 0.97 and the natural image quality evaluation (NIQE) from 15.35 to 19.73, representing an overall improvement in image quality of about 28%. These findings can offer theoretical and technical support for applying MEMS DMs in correcting imaging issues related to extended sources degraded by wavefront aberrations.
自适应光学（AO）系统能够校正由传输介质或光学系统缺陷引起的波前像差。可变形镜（DM）作为自适应光学系统的一个组件发挥着关键作用。在本研究中，我们的重点是分析一个97单元的微机电系统（MEMS）可变形镜校正受大气湍流影响的扩展源模糊图像的能力。采用RUN优化器作为控制方法，通过模拟和物理实验来评估可变形镜的校正能力。模拟结果表明，在100次迭代内，归一化灰度方差和斯特列尔比均可收敛，图像质量提高约30%。在物理实验中，我们观察到归一化灰度方差（NGV）从0.53增加到0.97，自然图像质量评价（NIQE）从15.35增加到19.73，图像质量总体提高约28%。这些发现可为将MEMS可变形镜应用于校正因波前像差而退化的扩展源相关成像问题提供理论和技术支持。
