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 proceedingConference contributionpeer-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 languageEnglish
Title of host publicationOptical Sensors
PublisherOptical Society of America
ISBN (Electronic)9781957171241
DOIs
StatePublished - 2023
Externally publishedYes
EventOptica Sensing Congress 2023, AIS, FTS, HISE, Sensors, ES 2023 - Part of Optical Sensors and Sensing Congress 2023 - Munich, Germany
Duration: 30 Jul 20233 Aug 2023

Publication series

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

Conference

ConferenceOptica Sensing Congress 2023, AIS, FTS, HISE, Sensors, ES 2023 - Part of Optical Sensors and Sensing Congress 2023
Country/TerritoryGermany
CityMunich
Period30/07/233/08/23

Bibliographical note

Publisher Copyright:
© 2023 The Author (s).

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