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 conferencePaperpeer-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.

Conference

Conference2023 Hyperspectral/Multispectral Imaging and Sounding of the Environment, HISE 2023 in Optica Sensing Congress - 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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