Dataset Open Access

RELLISUR: A Real Low-Light Image Super-Resolution Dataset

Andreas Aakerberg; Kamal Nasrollahi; Thomas B. Moeslund

The RELLISUR dataset contains real low-light low-resolution images paired with normal-light high-resolution reference image counterparts. This dataset aims to fill the gap between low-light image enhancement and low-resolution image enhancement (Super-Resolution (SR)) which is currently only being addressed separately in the literature, even though the visibility of real-world images is often limited by both low-light and low-resolution.  The dataset contains 12750 paired images of different resolutions and degrees of low-light illumination, to facilitate learning of deep-learning based models that can perform a direct mapping from degraded images with low visibility to high-quality detail rich images of high resolution.

Files (8.9 GB)
Name Size
8.9 GB Download
All versions This version
Views 360360
Downloads 525525
Data volume 4.6 TB4.6 TB
Unique views 323323
Unique downloads 206206


Cite as