Deformable multi-scale fusion network for non-uniform single image deblurring-Reference-Cited by-同舟云学术

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Deformable multi-scale fusion network for non-uniform single image deblurring

Published:2023-05-05 Issue:29 Volume:82 Page:45621-45638
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Zhang Zhizhou^ORCID,Chen Yang,Zhu Aichun,Liu Hanxi

Funder

National Natural Science Foundation of China

Jiangsu Provincial Key Research and Development Program

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-14818-y.pdf

Reference53 articles.

1. Brehm S, Scherer S, Lienhart R (2020) High-resolution dual-stage multi-level feature aggregation for single image and video deblurring. In: 2020 IEEE/CVF conference on computer vision and pattern recognition workshops (CVPRW), pp 1872–1881. https://doi.org/10.1109/CVPRW50498.2020.00237

2. Chakrabarti A (2016) A Neural Approach to Blind Motion Deblurring. In: Leibe B, Matas J, Sebe N, Welling M (eds) Computer Vision – ECCV 2016. Springer International Publishing, Cham, pp 221–235

3. Dai J, Qi H, Xiong Y, Li Y, Zhang G, Hu H, Wei Y (2017) Deformable convolutional networks. In: IEEE international conference on computer vision, ICCV 2017, Venice, Italy, 22-29 Oct 2017, pp 764–773. https://doi.org/10.1109/ICCV.2017.89

4. Gao H, Tao X, Shen X, Jia J (2019) Dynamic scene deblurring with parameter selective sharing and nested skip connections. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (CVPR)

5. Gupta A, Joshi N, Lawrence Zitnick C, Cohen M, Curless B (2010) Single image deblurring using motion density functions. In: Daniilidis K, Maragos P, Paragios N (eds) Computer vision – ECCV 2010. Springer, pp 171–184

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