Deeply coded aperture for lensless imaging

In this Letter, we present a method for jointly designing a coded aperture and a convolutional neural network for reconstructing an object from a single-shot lensless measurement. The coded aperture and the reconstruction network are connected with a deep learning framework in which the coded apertu...

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Veröffentlicht in:	Optics letters 2020-06, Vol.45 (11), p.3131-3134
Hauptverfasser:	Horisaki, Ryoichi, Okamoto, Yuka, Tanida, Jun
Format:	Artikel
Sprache:	eng
Schlagworte:	Apertures Artificial neural networks Machine learning Optimization
Online-Zugang:	Volltext
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