Lensless computational imaging through deep learning

Optica10.40
Volume: 4, Issue: 9, Pages: 1117 - 1117
Published: Sep 15, 2017
Abstract
Deep learning has been proven to yield reliably generalizable solutions to numerous classification and decision tasks. Here, we demonstrate for the first time to our knowledge that deep neural networks (DNNs) can be trained to solve end-to-end inverse problems in computational imaging. We experimentally built and tested a lensless imaging system where a DNN was trained to recover phase objects given their propagated intensity diffraction...
Paper Details
Title
Lensless computational imaging through deep learning
Published Date
Sep 15, 2017
Journal
Volume
4
Issue
9
Pages
1117 - 1117
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