FRBNet: Revisiting Low-Light Vision through Frequency-Domain Radial Basis Network

A new study introduces FRBNet, a novel approach to enhance low-light vision in computer vision tasks. This research addresses the persistent challenges posed by poor illumination, which often hampers the effectiveness of detection and segmentation processes. By revisiting the fundamentals of low-light image formation, FRBNet aims to provide a more comprehensive model that could significantly improve performance in real-world applications. This advancement is crucial as it opens up new possibilities for technology in areas like surveillance and autonomous driving, where visibility can be severely limited.