Classification and reconstruction of spatially overlapping phase objects through diffractive networks

Deniz Mengu; Muhammed Veli; Yair Rivenson; Aydogan Ozcan

Classification and reconstruction of spatially overlapping phase objects through diffractive networks

Deniz Mengu
, Muhammed Veli
, Yair Rivenson
, Aydogan Ozcan

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

Abstract

We present diffractive networks that can all-optically classify spatially-overlapping phase objects. Individual phase images of the overlapping objects are also reconstructed using electronic networks that process the compressed signals, all-optically synthesized by a diffractive network.

Original language	English
Journal	Optics InfoBase Conference Papers
State	Published - 1 Jan 2022
Externally published	Yes
Event	Computational Optical Sensing and Imaging, COSI 2022 - Vancouver, Canada Duration: 11 Jul 2022 → 15 Jul 2022

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Mechanics of Materials

Cite this

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title = "Classification and reconstruction of spatially overlapping phase objects through diffractive networks",

abstract = "We present diffractive networks that can all-optically classify spatially-overlapping phase objects. Individual phase images of the overlapping objects are also reconstructed using electronic networks that process the compressed signals, all-optically synthesized by a diffractive network.",

author = "Deniz Mengu and Muhammed Veli and Yair Rivenson and Aydogan Ozcan",

note = "Publisher Copyright: {\textcopyright} 2022 The Author(s); Computational Optical Sensing and Imaging, COSI 2022 ; Conference date: 11-07-2022 Through 15-07-2022",

year = "2022",

month = jan,

day = "1",

language = "English",

journal = "Optics InfoBase Conference Papers",

issn = "2162-2701",

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TY - JOUR

T1 - Classification and reconstruction of spatially overlapping phase objects through diffractive networks

AU - Mengu, Deniz

AU - Veli, Muhammed

AU - Rivenson, Yair

AU - Ozcan, Aydogan

PY - 2022/1/1

Y1 - 2022/1/1

N2 - We present diffractive networks that can all-optically classify spatially-overlapping phase objects. Individual phase images of the overlapping objects are also reconstructed using electronic networks that process the compressed signals, all-optically synthesized by a diffractive network.

AB - We present diffractive networks that can all-optically classify spatially-overlapping phase objects. Individual phase images of the overlapping objects are also reconstructed using electronic networks that process the compressed signals, all-optically synthesized by a diffractive network.

UR - https://www.scopus.com/pages/publications/85139153060

M3 - Conference article

AN - SCOPUS:85139153060

SN - 2162-2701

JO - Optics InfoBase Conference Papers

JF - Optics InfoBase Conference Papers

T2 - Computational Optical Sensing and Imaging, COSI 2022

Y2 - 11 July 2022 through 15 July 2022

ER -

Classification and reconstruction of spatially overlapping phase objects through diffractive networks

Abstract

ASJC Scopus subject areas

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