Super Resolution Image Visual Quality Assessment Based on Feature Optimization

Most existing no-referenced image quality assessment (NR-IQA) algorithms need to extract features first and then predict image quality. However, only a small number of features work in the model, and the rest will degrade the model performance. Consequently, an NR-IQA framework based on feature opti...

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Detalles Bibliográficos
Autores principales: Lei, Shu, Zijian, Huang, Jiebin, Yan, Fengchang, Fei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9236850/
https://www.ncbi.nlm.nih.gov/pubmed/35769272
http://dx.doi.org/10.1155/2022/1263348

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9236850/
https://www.ncbi.nlm.nih.gov/pubmed/35769272
http://dx.doi.org/10.1155/2022/1263348

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