Single Image Super-Resolution Techniques leaf node


URI

https://openalex.org/T11105

Label

Single Image Super-Resolution Techniques

Description

This cluster of papers focuses on the development and application of single image super-resolution techniques, utilizing deep learning methods such as convolutional networks, generative adversarial networks, and sparse representation. The cluster also covers related topics such as deblurring, video enhancement, and applications in medical imaging.

Implementation

@prefix oasubfields: <https://openalex.org/subfields/> .
@prefix openalex: <https://lambdamusic.github.io/openalex-hacks/ontology/> .
@prefix owl: <http://www.w3.org/2002/07/owl#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix skos: <http://www.w3.org/2004/02/skos/core#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

<https://openalex.org/T11105> a skos:Concept ;
    rdfs:label "Single Image Super-Resolution Techniques"@en ;
    rdfs:isDefinedBy openalex: ;
    owl:sameAs <https://en.wikipedia.org/wiki/Super-resolution_imaging>,
        <https://openalex.org/T11105> ;
    skos:broader oasubfields:1707 ;
    skos:definition "This cluster of papers focuses on the development and application of single image super-resolution techniques, utilizing deep learning methods such as convolutional networks, generative adversarial networks, and sparse representation. The cluster also covers related topics such as deblurring, video enhancement, and applications in medical imaging."@en ;
    skos:inScheme openalex: ;
    skos:prefLabel "Single Image Super-Resolution Techniques"@en ;
    openalex:cited_by_count 532769 ;
    openalex:works_count 29774 .