Position misalignment correction method for macroscopic Fourier ptychography based on particle swarm optimization

被引:0
|
作者
He C. [1 ,2 ]
Zhu Y. [1 ]
Wang B. [1 ]
机构
[1] Changchun Institute of Optics,Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun
[2] University of Chinese Academy of Sciences, Beijing
关键词
Fourier ptychography; image quality; imaging system; particle swarm optimization; positional misalignment;
D O I
10.37188/OPE.20223023.2975
中图分类号
学科分类号
摘要
Macroscopic Fourier ptychography imaging technology reconstructs high-resolution complex images by stitching and integrating low-resolution images in the frequency domain. However,positional misalignment,which decreases the quality of reconstructed images,commonly occurs when the camera is moved to capture low-resolution images. Therefore,a correction method based on particle swarm optimization based on a point-by-point calibration strategy is proposed. First,low-frequency images are calibrated in the frequency domain,and the frequency spectrum is updated. After all low-resolution images are calibrated,the exact camera positions are determined,and high-resolution images are reconstructed using a phase recovery algorithm. In real-world settings,the reconstructed image resolutions of the traditional Fourier ptychography imaging algorithm and proposed algorithm after calibration are 4. 00 lp/mm and 5. 04 lp/mm,respectively. The reconstructed image quality of the proposed algorithm is significantly improved,and the correction effect is better than that of similar existing algorithms. Furthermore,the execution time is reduced by more than 10. 9% when compared with that of similar calibration algorithms. Our algorithm effectively releases the severe requirements of macroscopic Fourier ptychography imaging technology for camera position accuracy,thereby improving the quality of reconstructed images and reducing the time expense. © 2022 Chinese Academy of Sciences. All rights reserved.
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页码:2975 / 2986
页数:11
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