Learned partial transform ensembles for exceptional optical compressive sensing-Reference-Cited by-同舟云学术

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Learned partial transform ensembles for exceptional optical compressive sensing

Published:2023-12 Issue: Volume:171 Page:107818
ISSN:0143-8166
Container-title:Optics and Lasers in Engineering
language:en
Short-container-title:Optics and Lasers in Engineering

Author:

Kravets Vladislav^ORCID,Stern Adrian^ORCID

Funder

Horizon 2020

Horizon 2020 Framework Programme

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference19 articles.

1. Optical compressive imaging;Stern,2017

2. Compressed sensing;Donoho;IEEE Trans Inf Theory,2006

3. Compressed sensing: theory and applications;Eldar,2013

4. Reconnet: non-iterative reconstruction of images from compressively sensed measurements;Kulkarni,2016

5. Deep learning for real-time single-pixel video;Higham;Sci Rep,2018

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2. A comparison of deep learning-based compressive imaging methods from a practitioner's perspective;Big Data VI: Learning, Analytics, and Applications;2024-06-10

3. Compressive Learning Holography with LPTNet;Optica Imaging Congress 2024 (3D, AOMS, COSI, ISA, pcAOP);2024

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