Multi-Stage Network for Event-Based Video Deblurring with Residual Hint Attention.

ABSTRACT: Video deblurring aims at removing the motion blur caused by the movement of objects or camera shake. Traditional video deblurring methods have mainly focused on frame-based deblurring, which takes only blurry frames as the input to produce sharp frames. However, frame-based deblurring has shown poor picture quality in challenging cases of video restoration where severely blurred frames are provided as the input. To overcome this issue, recent studies have begun to explore the event-based approach, which uses the event sequence captured by an event camera for motion deblurring. Event cameras have several advantages compared to conventional frame cameras. Among these advantages, event cameras have a low latency in imaging data acquisition (0.001 ms for event cameras vs. 10 ms for frame camer

SUBMITTER: Kim J 

PROVIDER: S-EPMC10056412 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature