The Best of Both Worlds: A Framework for Combining Degradation Prediction with High Performance Super-Resolution Networks

To date, the best-performing blind super-resolution (SR) techniques follow one of two paradigms: (A) train standard SR networks on synthetic low-resolution–high-resolution (LR–HR) pairs or (B) predict the degradations of an LR image and then use these to inform a customised SR network. Despite signi...

Descripción completa

Detalles Bibliográficos
Autores principales: Aquilina, Matthew, Ciantar, Keith George, Galea, Christian, Camilleri, Kenneth P., Farrugia, Reuben A., Abela, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823731/
https://www.ncbi.nlm.nih.gov/pubmed/36617016
http://dx.doi.org/10.3390/s23010419

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823731/
https://www.ncbi.nlm.nih.gov/pubmed/36617016
http://dx.doi.org/10.3390/s23010419

Ejemplares similares