Single-Frame Deblurring: Deep Learning for Motion Blurred Video Restoration
2025-03-28
Researchers introduce a novel single-frame deblurring method that calculates motion velocity in motion-blurred videos using only a single input frame. Because the true direction of motion in a single motion-blurred image is ambiguous, the method adjusts the velocity direction based on the photometric error between frames. Gyroscope readings are directly used as angular velocity ground truth, while translational velocity ground truth is approximated using ARKit poses and frame rate. Note that angular velocity axes are x-up, y-left, z-backwards (IMU convention), while translational velocity axes are x-right, y-down, z-forward (OpenCV convention). The method was evaluated on real-world motion-blurred videos.