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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi
2022
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| Materias: | |
| 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 |