Quality-aware blind image motion deblurring
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Reference39 articles.
1. From distortion manifold to perceptual quality: a data efficient blind image quality assessment approach;Su;Pattern Recognit.,2023
2. Dynamic scene deblurring with continuous cross-layer attention transmission;Hua;Pattern Recognit.,2023
3. Regularized motion blur-kernel estimation with adaptive sparse image prior learning;Shao;Pattern Recognit.,2016
4. S. Nah, T. Hyun Kim, K. Mu Lee, Deep multi-scale convolutional neural network for dynamic scene deblurring, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2017, pp. 3883–3891.
5. X. Tao, H. Gao, X. Shen, J. Wang, J. Jia, Scale-recurrent network for deep image deblurring, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2018, pp. 8174–8182.
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