Real-Time Video Deblurring via Lightweight Motion Compensation
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SCOPUS
- Title
- Real-Time Video Deblurring via Lightweight Motion Compensation
- Authors
- Son, Hyeongseok; Lee, Junyong; Cho, Sunghyun; Lee, Seungyong
- Date Issued
- 2022-10
- Publisher
- Blackwell Publishing Inc.
- Abstract
- While motion compensation greatly improves video deblurring quality, separately performing motion compensation and video deblurring demands huge computational overhead. This paper proposes a real-time video deblurring framework consisting of a lightweight multi-task unit that supports both video deblurring and motion compensation in an efficient way. The multi-task unit is specifically designed to handle large portions of the two tasks using a single shared network and consists of a multi-task detail network and simple networks for deblurring and motion compensation. The multi-task unit minimizes the cost of incorporating motion compensation into video deblurring and enables real-time deblurring. Moreover, by stacking multiple multi-task units, our framework provides flexible control between the cost and deblurring quality. We experimentally validate the state-of-the-art deblurring quality of our approach, which runs at a much faster speed compared to previous methods and show practical real-time performance (30.99dB@30fps measured on the DVD dataset).
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/114515
- DOI
- 10.1111/cgf.14667
- ISSN
- 0167-7055
- Article Type
- Article
- Citation
- Computer Graphics Forum, vol. 41, no. 7, page. 177 - 188, 2022-10
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- There are no files associated with this item.
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