Opto-Electronic Engineering, Volume. 50, Issue 6, 220208(2023)

Solar image reconstruction by phase diversity with low rank prior

Shuai Wang1...2,3,4, Hua Bao1,3,*, Chunyuan He2,4, Huiqin Rong2,4, Shuqi Li1,3,5, Jialin Hou6, and Changhui Rao13 |Show fewer author(s)
Author Affiliations
  • 1Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, Sichuan 610209, China
  • 2Yangtze Delta Region Institute of University of Electronic Science and Technology of China, Quzhou, Zhejiang 324003, China
  • 3Key Laboratory on Adaptive Optics, Chinese Academy of Sciences, Chengdu, Sichuan 610209, China
  • 4University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China
  • 5University of Chinese Academy of Sciences, Beijing 100049, China
  • 666389 Troops, Zhengzhou, Henan 450000, China
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    References(3)

    [24] [24] Wright J, Ganesh A, Rao S, et al. Robust principal component analysis: exact recovery of corrupted low-rank matrices via convex optimization[C]//Proceedings of the 22nd International Conference on Neural Information Processing Systems, 2009: 2080–2088.

    [26] [26] Krishnan D, Fergus R. Fast image deconvolution using hyper-Laplacian priors[C]//Proceedings of the 22nd International Conference on Neural Information Processing Systems, 2009: 1033–1041.

    [27] [27] Xu L, Lu C W, Xu Y, et al. Image smoothing via L0 gradient minimization[C]//Proceedings of the 2011 SIGGRAPH Asia Conference, 2011: 174. https://doi.org/10.1145/2024156.2024208.

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    Shuai Wang, Hua Bao, Chunyuan He, Huiqin Rong, Shuqi Li, Jialin Hou, Changhui Rao. Solar image reconstruction by phase diversity with low rank prior[J]. Opto-Electronic Engineering, 2023, 50(6): 220208

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    Paper Information

    Category: Article

    Received: Aug. 28, 2022

    Accepted: Feb. 15, 2023

    Published Online: Aug. 9, 2023

    The Author Email:

    DOI:10.12086/oee.2023.220208

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