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/HMISE.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: Contribution to conference › Paper › 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
DOIs	https://doi.org/10.1364/HMISE.2023.JW2A.10
State	Published - 2023
Externally published	Yes
Event	2023 Hyperspectral/Multispectral Imaging and Sounding of the Environment, HISE 2023 in Optica Sensing Congress - Part of Optical Sensors and Sensing Congress 2023 - Munich, Germany Duration: 30 Jul 2023 → 3 Aug 2023

Conference

Conference	2023 Hyperspectral/Multispectral Imaging and Sounding of the Environment, HISE 2023 in Optica Sensing Congress - 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/HMISE.2023.JW2A.10

Cite this

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. Paper presented at 2023 Hyperspectral/Multispectral Imaging and Sounding of the Environment, HISE 2023 in Optica Sensing Congress - Part of Optical Sensors and Sensing Congress 2023, Munich, Germany. https://doi.org/10.1364/HMISE.2023.JW2A.10

Danan, Yossef ; Shemer, Amir ; Danan, Eliezer et al. / A Combination of Supervised Encoder-Decoder Neural Networks with Time-multiplexed Coded Apertures for Gamma and Lensless Imaging. Paper presented at 2023 Hyperspectral/Multispectral Imaging and Sounding of the Environment, HISE 2023 in Optica Sensing Congress - Part of Optical Sensors and Sensing Congress 2023, Munich, Germany.

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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).; 2023 Hyperspectral/Multispectral Imaging and Sounding of the Environment, HISE 2023 in Optica Sensing Congress - Part of Optical Sensors and Sensing Congress 2023 ; Conference date: 30-07-2023 Through 03-08-2023",

year = "2023",

doi = "10.1364/HMISE.2023.JW2A.10",

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}

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', Paper presented at 2023 Hyperspectral/Multispectral Imaging and Sounding of the Environment, HISE 2023 in Optica Sensing Congress - Part of Optical Sensors and Sensing Congress 2023, Munich, Germany, 30/07/23 - 3/08/23. https://doi.org/10.1364/HMISE.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.
2023. Paper presented at 2023 Hyperspectral/Multispectral Imaging and Sounding of the Environment, HISE 2023 in Optica Sensing Congress - Part of Optical Sensors and Sensing Congress 2023, Munich, Germany.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

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/85192569042

U2 - 10.1364/HMISE.2023.JW2A.10

DO - 10.1364/HMISE.2023.JW2A.10

M3 - ???researchoutput.researchoutputtypes.contributiontoconference.paper???

AN - SCOPUS:85192569042

T2 - 2023 Hyperspectral/Multispectral Imaging and Sounding of the Environment, HISE 2023 in Optica Sensing Congress - Part of Optical Sensors and Sensing Congress 2023

Y2 - 30 July 2023 through 3 August 2023

ER -

Danan Y, Shemer A, Danan E, Schwarz A. A Combination of Supervised Encoder-Decoder Neural Networks with Time-multiplexed Coded Apertures for Gamma and Lensless Imaging. 2023. Paper presented at 2023 Hyperspectral/Multispectral Imaging and Sounding of the Environment, HISE 2023 in Optica Sensing Congress - Part of Optical Sensors and Sensing Congress 2023, Munich, Germany. doi: 10.1364/HMISE.2023.JW2A.10

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

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