Take a prior from other tasks for severe blur removal-Reference-Cited by-同舟云学术

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Take a prior from other tasks for severe blur removal

Published:2024-08 Issue: Volume:245 Page:104027
ISSN:1077-3142
Container-title:Computer Vision and Image Understanding
language:en
Short-container-title:Computer Vision and Image Understanding

Author:

Wang Pei^ORCID,Zhu Yu,Xue Danna,Yan Qingsen^ORCID,Sun Jinqiu,Yoon Sung-eui,Zhang Yanning

Funder

China Scholarship Council

Fundamental Research Funds for the Central Universities of Beijing University of Chemical Technology

Natural Science Basic Research Program of Shaanxi Province

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference47 articles.

1. Abdelhamed, A., Lin, S., Brown, M.S., 2018. A high-quality denoising dataset for smartphone cameras. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 1692–1700.

2. Simple baselines for image restoration;Chen,2022

3. Chen, P., Liu, S., Zhao, H., Jia, J., 2021a. Distilling knowledge via knowledge review. In: Proc. IEEE Conf. Comput. Vis. Pattern Recognit.. pp. 5008–5017.

4. Chen, L., Lu, X., Zhang, J., Chu, X., Chen, C., 2021b. HINet: Half instance normalization network for image restoration. In: Proc. IEEE Conf. Comput. Vis. Pattern Recognit.. pp. 182–192.

5. Cho, S.-J., Ji, S.-W., Hong, J.-P., Jung, S.-W., Ko, S.-J., 2021. Rethinking coarse-to-fine approach in single image deblurring. In: Proc. Int. Conf. Comput. Vis.. pp. 4641–4650.

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