Fast and simple super-resolution with ...
Document type :
Article dans une revue scientifique: Article original
PMID :
Permalink :
Title :
Fast and simple super-resolution with single images
Author(s) :
Eilers, Paul H. C. [Auteur]
Erasmus University Medical Center [Rotterdam] [Erasmus MC]
Ruckebusch, Cyril [Auteur]
Laboratoire Avancé de Spectroscopie pour les Intéractions la Réactivité et l'Environnement (LASIRE) - UMR 8516
Erasmus University Medical Center [Rotterdam] [Erasmus MC]
Ruckebusch, Cyril [Auteur]
Laboratoire Avancé de Spectroscopie pour les Intéractions la Réactivité et l'Environnement (LASIRE) - UMR 8516
Journal title :
Scientific Reports
Abbreviated title :
Sci Rep
Volume number :
12
Pages :
11241
Publication date :
2022-07-07
ISSN :
2045-2322
HAL domain(s) :
Chimie/Chimie théorique et/ou physique
English abstract : [en]
We present a fast and simple algorithm for super-resolution with single images. It is based on penalized least squares regression and exploits the tensor structure of two-dimensional convolution. A ridge penalty and a ...
Show more >We present a fast and simple algorithm for super-resolution with single images. It is based on penalized least squares regression and exploits the tensor structure of two-dimensional convolution. A ridge penalty and a difference penalty are combined; the former removes singularities, while the latter eliminates ringing. We exploit the conjugate gradient algorithm to avoid explicit matrix inversion. Large images are handled with ease: zooming a 100 by 100 pixel image to 800 by 800 pixels takes less than a second on an average PC. Several examples, from applications in wide-field fluorescence microscopy, illustrate performance.Show less >
Show more >We present a fast and simple algorithm for super-resolution with single images. It is based on penalized least squares regression and exploits the tensor structure of two-dimensional convolution. A ridge penalty and a difference penalty are combined; the former removes singularities, while the latter eliminates ringing. We exploit the conjugate gradient algorithm to avoid explicit matrix inversion. Large images are handled with ease: zooming a 100 by 100 pixel image to 800 by 800 pixels takes less than a second on an average PC. Several examples, from applications in wide-field fluorescence microscopy, illustrate performance.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Administrative institution(s) :
Université de Lille
CNRS
CNRS
Collections :
Research team(s) :
Dynamics, Nanoscopy & Chemometrics (DyNaChem)
Submission date :
2024-02-28T22:23:55Z
2024-03-19T08:41:15Z
2024-03-19T08:41:15Z
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