Zhang Yu, Zhang Hongwen, Yuan Guoqin
Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130000, China.
University of Chinese Academy of Sciences, Beijing 100000, China.
Sensors (Basel). 2023 Sep 5;23(18):7679. doi: 10.3390/s23187679.
For traditional imaging systems, high imaging quality and system miniaturization are often contradictory. In order to meet the requirements of high imaging quality and system miniaturization, this paper proposes a method to correct the aberration of coherent imaging optical systems. The method is based on the idea of phase recovery and the imaging principle of a coherent imaging system to recover the aberrations at the exit pupil of the system. According to the recovered aberrations, conjugate filters are constructed to correct the image quality in the frequency domain. The imaging quality of the system is improved without changing the original optical path, and the simplicity of the system is guaranteed. To solve the pupil frequency domain aberration more accurately, this paper adopts the dual competition and parallel recombination strategy based on the genetic algorithm and introduces the disaster model. The improved genetic algorithm can effectively restrain the appearance of the "precocity" phenomenon. Finally, the paraxial imaging optical path is simulated and verified by experiments. The results show that, after aberration correction, the image sharpness is improved and the edge information is richer, which verifies the feasibility of the coherent imaging system image quality enhancement method proposed in this paper.
对于传统成像系统,高成像质量和系统小型化往往相互矛盾。为了满足高成像质量和系统小型化的要求,本文提出了一种校正相干成像光学系统像差的方法。该方法基于相位恢复的思想和相干成像系统的成像原理,以恢复系统出瞳处的像差。根据恢复的像差,构建共轭滤波器在频域中校正图像质量。在不改变原光路的情况下提高了系统的成像质量,并保证了系统的简易性。为了更精确地解决光瞳频域像差问题,本文采用基于遗传算法的双竞争并行重组策略并引入灾变模型。改进后的遗传算法能有效抑制“早熟”现象的出现。最后,通过实验对傍轴成像光路进行了模拟验证。结果表明,像差校正后,图像清晰度提高,边缘信息更丰富,验证了本文提出的相干成像系统图像质量增强方法的可行性。