Seeing through unknown, random diffusers using diffractive optical networks

Yi Luo; Yifan Zhao; Jingxi Li; Ege Çetintaş; Yair Rivenson; Mona Jarrahi; Aydogan Ozcan

Seeing through unknown, random diffusers using diffractive optical networks

Yi Luo
, Yifan Zhao
, Jingxi Li
, Ege Çetintaş
, Yair Rivenson
, Mona Jarrahi
, Aydogan Ozcan

Research output: Contribution to journal › Conference article › peer-review

Abstract

Diffractive deep neural networks composed of spatially-engineered transmissive layers were designed and experimental demonstrated to see through unknown, random phase diffusers, instantaneously reconstructing images of unknown objects without the need for a digital computer.

Original language	English
Article number	FM4H.7
Journal	Optics InfoBase Conference Papers
State	Published - 1 Jan 2022
Externally published	Yes
Event	CLEO: QELS_Fundamental Science, QELS 2022 - San Jose, United States Duration: 15 May 2022 → 20 May 2022

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Mechanics of Materials

Cite this

@article{4e2ee18d89bf462d912b27a181b31325,

title = "Seeing through unknown, random diffusers using diffractive optical networks",

abstract = "Diffractive deep neural networks composed of spatially-engineered transmissive layers were designed and experimental demonstrated to see through unknown, random phase diffusers, instantaneously reconstructing images of unknown objects without the need for a digital computer.",

author = "Yi Luo and Yifan Zhao and Jingxi Li and Ege {\c C}etinta{\c s} and Yair Rivenson and Mona Jarrahi and Aydogan Ozcan",

note = "Publisher Copyright: {\textcopyright} Optica Publishing Group 2022, {\textcopyright} 2022 The Author(s); CLEO: QELS\_Fundamental Science, QELS 2022 ; Conference date: 15-05-2022 Through 20-05-2022",

year = "2022",

month = jan,

day = "1",

language = "English",

journal = "Optics InfoBase Conference Papers",

issn = "2162-2701",

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TY - JOUR

T1 - Seeing through unknown, random diffusers using diffractive optical networks

AU - Luo, Yi

AU - Zhao, Yifan

AU - Li, Jingxi

AU - Çetintaş, Ege

AU - Rivenson, Yair

AU - Jarrahi, Mona

AU - Ozcan, Aydogan

PY - 2022/1/1

Y1 - 2022/1/1

N2 - Diffractive deep neural networks composed of spatially-engineered transmissive layers were designed and experimental demonstrated to see through unknown, random phase diffusers, instantaneously reconstructing images of unknown objects without the need for a digital computer.

AB - Diffractive deep neural networks composed of spatially-engineered transmissive layers were designed and experimental demonstrated to see through unknown, random phase diffusers, instantaneously reconstructing images of unknown objects without the need for a digital computer.

UR - https://www.scopus.com/pages/publications/85136801703

M3 - Conference article

AN - SCOPUS:85136801703

SN - 2162-2701

JO - Optics InfoBase Conference Papers

JF - Optics InfoBase Conference Papers

M1 - FM4H.7

T2 - CLEO: QELS_Fundamental Science, QELS 2022

Y2 - 15 May 2022 through 20 May 2022

ER -

Seeing through unknown, random diffusers using diffractive optical networks

Abstract

ASJC Scopus subject areas

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