Coded wavefront sensor and non-iterative learning-based reconstruction

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Type
Conference Paper
Authors
Qi, Miao cc
Wang, Congli cc
Heidrich, Wolfgang cc
KAUST Department
Computational Imaging Group
Computer Science Program
Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
Electrical and Computer Engineering
Electrical and Computer Engineering Program
Visual Computing Center (VCC)
Date
2021-01-01
Permanent link to this record
http://hdl.handle.net/10754/673907

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Abstract
Here we put forward a coded wavefront sensor and neural network framework to achieve wavefront reconstruction. The new framework outperform the preview method not only in the speed but also in the image fidelity.
Citation
Qi, M., Wang, C., & Heidrich, W. (2021). Coded wavefront sensor and non-iterative learning-based reconstruction. OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP). doi:10.1364/cosi.2021.cf2b.7
Publisher
The Optical Society
Conference/Event name
Computational Optical Sensing and Imaging, COSI 2021 - Part of OSA Imaging and Applied Optics Congress 2021
ISBN
9781557528209
DOI
10.1364/COSI.2021.CF2B.7
Collections
Conference Papers; Computer Science Program; Electrical and Computer Engineering Program; Visual Computing Center (VCC); Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division