Synthetic apertures for array ptychography imaging via deep learning

Sheng Li; Bowen Wang; Minqi Wang; Xu Zhang

doi:10.1117/12.2627033

17 May 2022 Synthetic apertures for array ptychography imaging via deep learning

Sheng Li, Bowen Wang, Minqi Wang, Xu Zhang

Proceedings Volume 12138, Optics, Photonics and Digital Technologies for Imaging Applications VII; 1213807 (2022) https://doi.org/10.1117/12.2627033
Event: SPIE Photonics Europe, 2022, Strasbourg, France

Abstract

Fourier Ptychography is a phase recovery technique that uses synthetic aperture concept to recover high-resolution sample images. It has made great breakthroughs in microscopic fields such as biological cells. However, Fourier Ptychography is still restricted by many macroscopic fields of remote detection such as sea, land and air due to its non-active imaging. In this paper, a fast Fourier Ptychography technique based on via deep learning is proposed. Firstly, different from the previous macro scanning, a 3-3 array camera is used to quickly obtain part of the spectrum of the object to be measured. Secondly, the network is constructed by using the large aperture imaging results under non-laser irradiation as the ground truth. Finally, 9 low-resolution images are used to obtain high resolution results. Compared with other advanced methods, the results obtained in this paper have satisfactory resolution and eliminate most of the influence of speckle caused by laser irradiation.

Conference Presentation

Citation Download Citation

Sheng Li, Bowen Wang, Minqi Wang, and Xu Zhang "Synthetic apertures for array ptychography imaging via deep learning", Proc. SPIE 12138, Optics, Photonics and Digital Technologies for Imaging Applications VII, 1213807 (17 May 2022); https://doi.org/10.1117/12.2627033

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