Dataset and Network Structure: Towards Frames Selection for Fast Video Deblurring

Dataset and Network Structure: Towards Frames Selection for Fast Video Deblurring

Beyond the underlaying unrealistic presumptions in the existing video deblurring datasets and algorithms which presume that a naturally blurred video is fully blurred. In this work, we define a more realistic video frames averaging-based data degradation model by referring to a naturally blurred vid...

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Bibliographic Details
Main Authors: Abdelwahed Nahli, Shan Cao, Zhiwei Jia, Runze Ma, Shugong Xu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Video deblurring
image deblurring
video frames classification
inference run-time
deep learning
two stages training
Online Access:https://ieeexplore.ieee.org/document/9408635/

Internet

https://ieeexplore.ieee.org/document/9408635/

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