Snapshot ptychography on array cameras
Document Type
Article
Publication Date
1-17-2022
Department
Department of Electrical and Computer Engineering
Abstract
We use convolutional neural networks to recover images optically down-sampled by 6.7 × using coherent aperture synthesis over a 16 camera array. Where conventional ptychography relies on scanning and oversampling, herewe apply decompressive neural estimation to recover full resolution image from a single snapshot, although as shown in simulation multiple snapshots can be used to improve signal-to-noise ratio (SNR). In place training on experimental measurements eliminates the need to directly calibrate the measurement system. We also present simulations of diverse array camera sampling strategies to explore how snapshot compressive systems might be optimized.
Publication Title
Optics Express
Recommended Citation
Wang, C.,
Hu, M.,
Takashima, Y.,
Schulz, T.,
&
Brady, D.
(2022).
Snapshot ptychography on array cameras.
Optics Express,
30(2), 2585-2598.
http://doi.org/10.1364/OE.447499
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/15671