Figure: Schematic illustrating the concept of neural network-based image processing and reconstruction of compromised photonic data in terms of resolution, sampling density, and SNR. (IMAGE)

Light Publishing Center, Changchun Institute of Optics, Fine Mechanics And Physics, CAS

Figure: Schematic illustrating the concept of neural network-based image processing and reconstruction of compromised photonic data in terms of resolution, sampling density, and SNR.

Caption

Figure: Schematic illustrating the concept of neural network-based image processing and reconstruction of compromised photonic data in terms of resolution, sampling density, and SNR. Deep learning compensation results in speed, cost, and/or size benefits. Ozcan Lab @ UCLA.

Credit

by Michael John Fanous, Paloma Casteleiro Costa, Çağatay Işıl, Luzhe Huang & Aydogan Ozcan

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CC BY

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