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Fourier Ptychographic Iterative Engine Based on Alternating Direction Method of Multipliers with Anisotropic Total-Variation Regularization

Authors
Lee, Kyung ChulChae, HyesukXu, ShiqiLee, KyungwonHorstmeyer, RoarkeHong, Byung-WooLee, Seung Ah
Issue Date
Aug-2023
Publisher
Optical Society of America
Citation
Computational Optical Sensing and Imaging in Proceedings Optica Imaging Congress, 3D, COSI, DH, FLatOptics, IS, pcAOP - Part of Imaging and Applied Optics Congress 2023
Journal Title
Computational Optical Sensing and Imaging in Proceedings Optica Imaging Congress, 3D, COSI, DH, FLatOptics, IS, pcAOP - Part of Imaging and Applied Optics Congress 2023
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/73938
DOI
10.1364/COSI.2023.CM4B.4
ISSN
0000-0000
Abstract
We propose an ADMM-based phase retrieval algorithm for FP that utilizes anisotropic total variation regularization for the object function and L2 regularization for pupil functions. All our results in simulation and real experiments demonstrate that our algorithm outperforms the Gauss-Newton algorithm in terms of object and pupil function recovery. Our findings suggest that our algorithm enables the reconstruction of the objective function using a shorter exposure time and fewer measurements as a factor of 60x. © 2023 The Author(s).
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