126 citations · 178 across the 3 of their papers we have counts for
4 papers
Toward task-driven satellite image super-resolution
Maciej Ziaja, Pawel Kowaleczko, Daniel Kostrzewa +2
Super-resolution is aimed at reconstructing high-resolution images from low-resolution observations. State-of-the-art approaches underpinned with deep learning allow for obtaining…
MuS2: A Real-World Benchmark for Sentinel-2 Multi-Image Super-Resolution
Pawel Kowaleczko, Tomasz Tarasiewicz, Maciej Ziaja +4
Insufficient image spatial resolution is a serious limitation in many practical scenarios, especially when acquiring images at a finer scale is infeasible or brings higher costs. T…
On training deep networks for satellite image super-resolution
Michal Kawulok, Szymon Piechaczek, Krzysztof Hrynczenko +3
The capabilities of super-resolution reconstruction (SRR)---techniques for enhancing image spatial resolution---have been recently improved significantly by the use of deep convolu…
Deep Learning for Multiple-Image Super-Resolution
Michal Kawulok, Pawel Benecki, Szymon Piechaczek +3
Super-resolution reconstruction (SRR) is a process aimed at enhancing spatial resolution of images, either from a single observation, based on the learned relation between low and…