1 citations · 2 across the 8 of their papers we have counts for
8 papers
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…
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…
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…
Wavelet-based Topological Loss for Low-Light Image Denoising
Alexandra Malyugina, Nantheera Anantrasirichai, David Bull
Despite extensive research conducted in the field of image denoising, many algorithms still heavily depend on supervised learning and their effectiveness primarily relies on the qu…
A Topological Loss Function: Image Denoising on a Low-Light Dataset
Alexandra Malyugina, Nantheera Anantrasirichai, David Bull
Although image denoising algorithms have attracted significant research attention, surprisingly few have been proposed for, or evaluated on, noise from imagery acquired under real…
Encoding in the Dark Grand Challenge: An Overview
Nantheera Anantrasirichai, Fan Zhang, Alexandra Malyugina +2
A big part of the video content we consume from video providers consists of genres featuring low-light aesthetics. Low light sequences have special characteristics, such as spatio-…