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Deep Image Deblurring: A Survey. (arXiv:2201.10700v1 [cs.CV])
Web: http://arxiv.org/abs/2201.10700
Jan. 27, 2022, 2:10 a.m. | Kaihao Zhang, Wenqi Ren, Wenhan Luo, Wei-Sheng Lai, Bjorn Stenger, Ming-Hsuan Yang, Hongdong Li
cs.CV updates on arXiv.org arxiv.org
Image deblurring is a classic problem in low-level computer vision, which
aims to recover a sharp image from a blurred input image. Recent advances in
deep learning have led to significant progress in solving this problem, and a
large number of deblurring networks have been proposed. This paper presents a
comprehensive and timely survey of recently published deep-learning based image
deblurring approaches, aiming to serve the community as a useful literature
review. We start by discussing common causes of image …
More from arxiv.org / cs.CV updates on arXiv.org
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