Smoothness on rank-order path graphs and its use in compressive spectral imaging with side information-Reference-Cited by-同舟云学术

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Smoothness on rank-order path graphs and its use in compressive spectral imaging with side information

Published:2022-12 Issue: Volume:201 Page:108707
ISSN:0165-1684
Container-title:Signal Processing
language:en
Short-container-title:Signal Processing

Author:

Florez-Ospina Juan F.^ORCID,Lau Daniel L.^ORCID,Guillot Dominique^ORCID,Barner Kenneth,Arce Gonzalo R.^ORCID

Funder

NSF

Colombia Ministry of Science Technology and Innovation

Fulbright Colombia

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software,Control and Systems Engineering

Reference68 articles.

1. Compressed Sensing: Theory and Applications;Eldar,2012

2. Plug-and-play priors for model based reconstruction;Venkatakrishnan,2013

3. The little engine that could: regularization by denoising (RED);Romano;SIAM J. Imaging Sci.,2017

4. Regularization by denoising: clarifications and new interpretations;Reehorst;IEEE Trans. Comput. Imaging,2018

5. Deep image prior;Ulyanov,2018

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. t-HGSP: Hypergraph Signal Processing Using t-Product Tensor Decompositions;IEEE Transactions on Signal and Information Processing over Networks;2023

2. High Resolution LED-Based Snapshot Compressive Spectral Video Imaging With Deep Neural Networks;IEEE Transactions on Computational Imaging;2023

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