Single Image Super-Resolution via Multiple Mixture Prior Models
Example learning-based single image super-resolution (SR) is a promising method for reconstructing a high-resolution (HR) image from a single-input low-resolution (LR) image. Lots of popular SR approaches are more likely either time-or space-intensive, which limit their practical applications. Hence...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 27(2018), 12 vom: 26. Dez., Seite 5904-5917
|
|---|
| 1. Verfasser: |
Huang, Yuanfei
(VerfasserIn) |
|---|
| Weitere Verfasser: |
Li, Jie,
Gao, Xinbo,
He, Lihuo,
Lu, Wen |
|---|
| Format: | Online-Aufsatz
|
|---|
| Sprache: | English |
|---|
| Veröffentlicht: |
2018
|
|---|
| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|
|---|
| Schlagworte: | Journal Article |
|---|