Multi-scale network for single image deblurring based on ensemble learning module-Reference-Cited by-同舟云学术

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Multi-scale network for single image deblurring based on ensemble learning module

Published:2024-05-07 Issue: Volume: Page:
ISSN:1573-7721
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Wu WenBo,Pan Yun,Su Na,Wang JingTao,Wu ShaoChuan,Xu ZeKun,Yu YouJian,Liu YaPeng

Funder

National Natural Science Foundation of China

Natural Science Foundation of China

the Fundamental Research Funds for the Central Universities

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11042-024-19295-5.pdf

Reference71 articles.

1. Chan TF, Wong C-K (1998) Total variation blind deconvolution. IEEE Trans Image Process 7(3):370–375

2. Goldstein A, Fattal R (2012) Blur-kernel estimation from spectral irregularities. In: Computer vision–ECCV 2012: 12th European conference on computer vision, Florence, Italy, October 7-13, 2012, Proceedings, Part V 12, pp 622–635. Springer

3. Hyun Kim T, Ahn B, Mu Lee K (2013) Dynamic scene deblurring. In: Proceedings of the IEEE international conference on computer vision, pp 3160–3167

4. Krishnan D, Tay T, Fergus R (2011) Blind deconvolution using a normalized sparsity measure. In: CVPR 2011, pp 233–240. IEEE

5. Pan J, Hu Z, Su Z, Yang M-H (2014) Deblurring face images with exemplars. In: Computer vision–ECCV 2014: 13th European conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part VII 13, pp 47–62. Springer

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