• Infrared and Laser Engineering
  • Vol. 47, Issue 11, 1111005 (2018)
Niu Wei1, Guo Shiping2、3, Shi Jianglin1、3, Zou Jianhua1, and Zhang Rongzhi1、3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    DOI: 10.3788/irla201847.1111005 Cite this Article
    Niu Wei, Guo Shiping, Shi Jianglin, Zou Jianhua, Zhang Rongzhi. Quality assessment for adaptive optics image post-processing by LoG domain matching[J]. Infrared and Laser Engineering, 2018, 47(11): 1111005 Copy Citation Text show less
    References

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    [9] Mou X, Xue W, Chen C, et al. LoG acts as a good feature in the task of image quality assessment[C]//IS&T/SPIE Electronic Imaging. International Society for Optics and Photonics, 2014, 9023: 902313.

    [10] Li Q, Wang Z. Reduced-reference image quality assessment using divisive normalization-based image representation[J]. IEEE Journal of Selected Topics in Signal Processing, 2009, 3(2): 202-211.

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    [12] Xue W, Mou X, Zhang L, et al. Blind image quality assessment using joint statistics of gradient magnitude and Laplacian features[J]. IEEE Transactions on Image Processing, 2014, 23(11): 4850-4862.

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    Niu Wei, Guo Shiping, Shi Jianglin, Zou Jianhua, Zhang Rongzhi. Quality assessment for adaptive optics image post-processing by LoG domain matching[J]. Infrared and Laser Engineering, 2018, 47(11): 1111005
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