Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject super-resolution
Showing results 1 to 3 of 3
| Issue Date | Title | Author(s) |
|---|---|---|
| 31-Dec-2025 | Edge priors guided deep unrolling network for single image super-resolution | Song, H; Han, J; Ma, H; Jia, H; Shen, X; Gou, J; Lai, Y; Meng, H |
| 20-Apr-2019 | Investigating 3D holoscopic visual content upsampling using super resolution for cultural heritage digitization | Belhi, A; Bouras, A; Alfaqheri, T; Aondoakaa, AS; Sadka, AH |
| 14-Nov-2019 | Learning Spectral and Spatial Features Based on Generative Adversarial Network for Hyperspectral Image Super-Resolution | Jiang, R; Li, X; Gao, A; Li, L; Meng, H; Yue, S; Zhang, L |