Cargando…
Image Super-Resolution via Dual-Level Recurrent Residual Networks
Recently, the feedforward architecture of a super-resolution network based on deep learning was proposed to learn the representation of a low-resolution (LR) input and the non-linear mapping from these inputs to a high-resolution (HR) output, but this method cannot completely solve the interdependen...
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9032326/ https://www.ncbi.nlm.nih.gov/pubmed/35459043 http://dx.doi.org/10.3390/s22083058 |