CRNet: Unsupervised Color Retention Network for Blind Motion Deblurring

Author:

Zhao Suiyi1,Zhang Zhao1,Hong Richang1,Xu Mingliang2,Zhang Haijun3,Wang Meng1,Yan Shuicheng4

Affiliation:

1. Hefei University of Technology, Hefei, China

2. Zhengzhou University, Zhengzhou, China

3. Harbin Institute of Technology (Shenzhen), Shenzhen, China

4. Sea AI Lab (SAIL) & National University of Singapore, Singapore, Singapore

Funder

National Natural Science Foundation of China

Anhui Provincial Natural Science Fund for Distinguished Young Scholars

Publisher

ACM

Reference50 articles.

1. Single-image blind deblurring using multi-scale latent structure prior;Bai Yuanchao;IEEE Trans. Circuits Syst. Video Technol.,2019

2. Axial Chromatic Aberration of the Human Eye

3. Siavash Arjomand Bigdeli , Meiguang Jin , Paolo Favaro , and Matthias Zwicker . 2017 . Deep mean-shift priors for image restoration . Proceedings of the Advances in Neural Information Processing Systems , Long Beach, CA, USA (2017). Siavash Arjomand Bigdeli, Meiguang Jin, Paolo Favaro, and Matthias Zwicker. 2017. Deep mean-shift priors for image restoration. Proceedings of the Advances in Neural Information Processing Systems, Long Beach, CA, USA (2017).

4. Blind Image Deblurring With Local Maximum Gradient Prior

5. OID: Outlier Identifying and Discarding in Blind Image Deblurring

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