Optimization method for the synthetic apertures imaging system

Bowen Wang; Yan Zou; Hao Xu; Yan Hu; Chao Zuo

doi:10.1117/12.2573601

10 October 2020 Optimization method for the synthetic apertures imaging system

Bowen Wang, Yan Zou, Hao Xu, Yan Hu, Chao Zuo

Proceedings Volume 11549, Advanced Optical Imaging Technologies III; 1154915 (2020) https://doi.org/10.1117/12.2573601
Event: SPIE/COS Photonics Asia, 2020, Online Only

Conference Poster

Abstract

In the long-range imaging system, one of the main factors limiting the imaging resolution is the size of the imaging lens aperture, which determines the diffraction limit of the optical system. In the actual Fourier ptychography imaging system, the system errors such as the aberrations of imaging devices and the noise of the detector will be introduced in the actual imaging, which is also one of the important factors to reduce the quality of the reconstructed image. In order to improve the reconstruction accuracy of the Fourier ptychography imaging algorithm, this paper mainly discusses some optimization algorithms in the process of the Fourier ptychography imaging algorithm to improve the high-resolution details of the restored image. The adaptive step size based optimization algorithm is used to update the spectrum and aperture function of the current sub-aperture to obtain the high-resolution spectrum information of the measured target. The optimal spectrum overlap rate is discussed to reduce the number of image acquisition and calculation cost as much as possible. In the reconstruction process, the simulated annealing algorithm is used to correct the positioning error of the sub-aperture, and the optimization algorithm is used to update the sub-aperture, which greatly improves the accuracy of the reconstruction results and achieves the theoretical imaging resolution.

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Citation Download Citation

Bowen Wang, Yan Zou, Hao Xu, Yan Hu, and Chao Zuo "Optimization method for the synthetic apertures imaging system", Proc. SPIE 11549, Advanced Optical Imaging Technologies III, 1154915 (10 October 2020); https://doi.org/10.1117/12.2573601

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