5 papers
BVI-RLV: A Fully Registered Dataset for Low-Light Video Enhancement
Ruirui Lin, Guoxi Huang, Joanne Lin +4
Low-light videos often exhibit spatiotemporally incoherent noise, compromising visibility and degrading performance in computer vision applications. A major challenge for enhancing…
Unsupervised Methods for Video Quality Improvement: A Survey of Restoration and Enhancement Techniques
Alexandra Malyugina, Yini Li, Joanne Lin +1
Video restoration and enhancement are critical not only for improving visual quality, but also as essential pre-processing steps to boost the performance of a wide range of downstr…
Marine Snow Removal Using Internally Generated Pseudo Ground Truth
Alexandra Malyugina, Guoxi Huang, Eduardo Ruiz +2
Underwater videos often suffer from degraded quality due to light absorption, scattering, and various noise sources. Among these, marine snow, which is suspended organic particles…
A Spatio-temporal Aligned SUNet Model for Low-light Video Enhancement
Ruirui Lin, Nantheera Anantrasirichai, Alexandra Malyugina +1
Distortions caused by low-light conditions are not only visually unpleasant but also degrade the performance of computer vision tasks. The restoration and enhancement have proven t…
BVI-Lowlight: Fully Registered Benchmark Dataset for Low-Light Video Enhancement
Nantheera Anantrasirichai, Ruirui Lin, Alexandra Malyugina +1
Low-light videos often exhibit spatiotemporal incoherent noise, leading to poor visibility and compromised performance across various computer vision applications. One significant…