NTIRE 2019 Challenge on Video Deblurring: Methods and Results

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This paper reviews the first NTIRE challenge on video deblurring (restoration of rich details and high frequency components from blurred video frames) with focus on the proposed solutions and results. A new REalistic and Diverse Scenes dataset (REDS) was employed. The challenge was divided into 2 tracks. Track 1 employed dynamic motion blurs while Track 2 had additional MPEG video compression artifacts. Each competition had 109 and 93 registered participants. Total 13 teams competed in the final testing phase. They gauge the state-of-the-art in video deblurring problem.
Publisher
Computer Vision Foundation
Issue Date
2019-06-17
Language
English
Citation

Computer Vision and Pattern Recognition Workshops (CVPRW 2019), pp.1 - 11

URI
http://hdl.handle.net/10203/268692
Appears in Collection
EE-Conference Papers(학술회의논문)
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