Survey on CNN based super resolution methods

Journal La Multiapp

View Publication Info
 
 
Field Value
 
Title Survey on CNN based super resolution methods
 
Creator Kazem, Rafaa Amen
Suad, Jamila H.
Abdulbaqi, Huda Abdulaali
 
Subject CNN
VSDR
FSRCNN
DRCN
 
Description Super Resolution is a field of image analysis that focuses on boosting the resolution of photographs and movies without compromising detail or visual appeal, instead enhancing both. Multiple (many input images and one output image) or single (one input and one output) stages are used to convert low-resolution photos to high-resolution photos. The study examines super-resolution methods based on a convolutional neural network (CNN) for super-resolution mapping at the sub-pixel level, as well as its primary characteristics and limitations for noisy or medical images.
 
Publisher Newinera Publisher
 
Date 2021-09-27
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://www.newinera.com/index.php/JournalLaMultiapp/article/view/444
10.37899/journallamultiapp.v2i4.444
 
Source Journal La Multiapp; Vol. 2 No. 4 (2021): Journal La Multiapp; 27-33
2721-1290
2716-3865
 
Language eng
 
Relation http://www.newinera.com/index.php/JournalLaMultiapp/article/view/444/375
 
Rights Copyright (c) 2021 Journal La Multiapp
http://creativecommons.org/licenses/by-sa/4.0/
 

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