DSR
Drone Image Super-Resolution
Despite achieving remarkable progress in recent years, single-image super-resolution methods are developed with artificial limitations. We propose a novel drone image dataset, with scenes captured at low and high resolutions, and across a span of altitudes. Our results show that off-the-shelf state-of-the-art networks perform worse on this different domain.
Deep Neural NetworksImages
- Technical
- Research papers
- Source code: Lab GitHub
- Last commit: 2022-09-15
The Image and Visual Representation Lab (IVRL) performs research that is primarily focused on the capture, analysis, and reproduction of color images. Aiming to improve everyone’s photographic experience, we develop algorithms and systems that help us understand, process, and measure images.
Their research areas are computational photography, color image processing, computer vision, and image quality.
Their research areas are computational photography, color image processing, computer vision, and image quality.
This page was last edited on 2024-04-14.
This page was last edited on 2024-04-14.