A Combination of Supervised Encoder-Decoder Neural Networks with Time-multiplexed Coded Apertures for Gamma and Lensless Imaging

Yossef Danan; Amir Shemer; Eliezer Danan; Ariel Schwarz

doi:10.1364/ais.2023.jw2a.10

A Combination of Supervised Encoder-Decoder Neural Networks with Time-multiplexed Coded Apertures for Gamma and Lensless Imaging

Yossef Danan, Amir Shemer, Eliezer Danan, Ariel Schwarz

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In order to improve sensitivity, signal to noise ratio and overcoming inverse filtering limitations in gamma and lensless imaging reconstruction, a method of combining supervised encoder-decoder neural networks with variable coded aperture is used.

Original language	English
Title of host publication	Optical Sensors
Publisher	Optical Society of America
ISBN (Electronic)	9781957171241
DOIs	https://doi.org/10.1364/ais.2023.jw2a.10
State	Published - 2023
Externally published	Yes
Event	Optica Sensing Congress 2023, AIS, FTS, HISE, Sensors, ES 2023 - Part of Optical Sensors and Sensing Congress 2023 - Munich, Germany Duration: 30 Jul 2023 → 3 Aug 2023

Publication series

Name	Optical Sensors: Proceedings Optica Sensing Congress 2023, AIS, FTS, HISE, Sensors, ES 2023

Conference

Conference	Optica Sensing Congress 2023, AIS, FTS, HISE, Sensors, ES 2023 - Part of Optical Sensors and Sensing Congress 2023
Country/Territory	Germany
City	Munich
Period	30/07/23 → 3/08/23

Bibliographical note

Publisher Copyright:
© 2023 The Author (s).

Access to Document

10.1364/ais.2023.jw2a.10

Cite this

@inproceedings{307dba61a286421c814fb50531165d54,

title = "A Combination of Supervised Encoder-Decoder Neural Networks with Time-multiplexed Coded Apertures for Gamma and Lensless Imaging",

abstract = "In order to improve sensitivity, signal to noise ratio and overcoming inverse filtering limitations in gamma and lensless imaging reconstruction, a method of combining supervised encoder-decoder neural networks with variable coded aperture is used.",

author = "Yossef Danan and Amir Shemer and Eliezer Danan and Ariel Schwarz",

note = "Publisher Copyright: {\textcopyright} 2023 The Author (s).; Optica Sensing Congress 2023, AIS, FTS, HISE, Sensors, ES 2023 - Part of Optical Sensors and Sensing Congress 2023 ; Conference date: 30-07-2023 Through 03-08-2023",

year = "2023",

doi = "10.1364/ais.2023.jw2a.10",

language = "אנגלית",

series = "Optical Sensors: Proceedings Optica Sensing Congress 2023, AIS, FTS, HISE, Sensors, ES 2023",

publisher = "Optical Society of America",

booktitle = "Optical Sensors",

}

Danan, Y, Shemer, A, Danan, E & Schwarz, A 2023, A Combination of Supervised Encoder-Decoder Neural Networks with Time-multiplexed Coded Apertures for Gamma and Lensless Imaging. in Optical Sensors. Optical Sensors: Proceedings Optica Sensing Congress 2023, AIS, FTS, HISE, Sensors, ES 2023, Optical Society of America, Optica Sensing Congress 2023, AIS, FTS, HISE, Sensors, ES 2023 - Part of Optical Sensors and Sensing Congress 2023, Munich, Germany, 30/07/23. https://doi.org/10.1364/ais.2023.jw2a.10

A Combination of Supervised Encoder-Decoder Neural Networks with Time-multiplexed Coded Apertures for Gamma and Lensless Imaging. / Danan, Yossef; Shemer, Amir; Danan, Eliezer et al.
Optical Sensors. Optical Society of America, 2023. (Optical Sensors: Proceedings Optica Sensing Congress 2023, AIS, FTS, HISE, Sensors, ES 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Combination of Supervised Encoder-Decoder Neural Networks with Time-multiplexed Coded Apertures for Gamma and Lensless Imaging

AU - Danan, Yossef

AU - Shemer, Amir

AU - Danan, Eliezer

AU - Schwarz, Ariel

PY - 2023

Y1 - 2023

N2 - In order to improve sensitivity, signal to noise ratio and overcoming inverse filtering limitations in gamma and lensless imaging reconstruction, a method of combining supervised encoder-decoder neural networks with variable coded aperture is used.

AB - In order to improve sensitivity, signal to noise ratio and overcoming inverse filtering limitations in gamma and lensless imaging reconstruction, a method of combining supervised encoder-decoder neural networks with variable coded aperture is used.

UR - https://www.scopus.com/pages/publications/85192533038

U2 - 10.1364/ais.2023.jw2a.10

DO - 10.1364/ais.2023.jw2a.10

M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???

AN - SCOPUS:85192533038

T3 - Optical Sensors: Proceedings Optica Sensing Congress 2023, AIS, FTS, HISE, Sensors, ES 2023

BT - Optical Sensors

PB - Optical Society of America

T2 - Optica Sensing Congress 2023, AIS, FTS, HISE, Sensors, ES 2023 - Part of Optical Sensors and Sensing Congress 2023

Y2 - 30 July 2023 through 3 August 2023

ER -

A Combination of Supervised Encoder-Decoder Neural Networks with Time-multiplexed Coded Apertures for Gamma and Lensless Imaging

Abstract

Publication series

Conference

Bibliographical note

Access to Document

Other files and links

Fingerprint

Cite this