• Electronics Optics & Control
  • Vol. 30, Issue 3, 48 (2023)
QIU Xiaoxia1、2、3, BAO Hua1、2, GAO Guoqing1、2、3、4, ZHANG Ying1、2、3, HE Chunyuan4, and LI Shuqi1、2、3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
  • 4[in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2023.03.009 Cite this Article
    QIU Xiaoxia, BAO Hua, GAO Guoqing, ZHANG Ying, HE Chunyuan, LI Shuqi. No-reference Adaptive Optical Image Quality Assessment[J]. Electronics Optics & Control, 2023, 30(3): 48 Copy Citation Text show less
    References

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    [11] HOSU V, LIN H H, SZIRANYI T, et al.KonIQ-10k:an ecologically valid database for deep learning of blind image quality assessment[J].IEEE Transactions on Image Processing, 2020, 29(3):4041-4056.

    [12] LIU X L, JOOST V, BAGDANOV A D.Exploiting unlabeled data in CNNs by self-supervised learning to rank[J].IEEE Transactions on Pattern Analysis & Machine Intelligence, 2019, 41(8):1862-1878.

    [13] TALEBI H, MILANFAR P.NIMA:neural image assessment[J].IEEE Transactions on Image Processing, 2018, 27(8):3998-4011.

    [14] ZHANG W X, MA K D, ZHAI G T, et al.Learning to blindly assess image quality in the laboratory and wild[C]//IEEE International Conference on Image Processing(ICIP). Abu Dhabi:IEEE, 2020:111-115.

    QIU Xiaoxia, BAO Hua, GAO Guoqing, ZHANG Ying, HE Chunyuan, LI Shuqi. No-reference Adaptive Optical Image Quality Assessment[J]. Electronics Optics & Control, 2023, 30(3): 48
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