Chinese Journal of Liquid Crystals and Displays, Volume. 37, Issue 10, 1334(2022)

Gradient-aware based single image super-resolution

Le ZHOU1, Long XU2, Xiao-yan LIU3, Xin-ze ZHANG2, and Xuan-de ZHANG1、*
Author Affiliations
  • 1School of Electronic Information and Artificial Intelligence,Shaanxi University of Science and Technology,Xi’an 710021,China
  • 2National Astronomical Observatories,Chinese Academy of Sciences,Beijing 100101,China
  • 3College of Science,Xi’an Shiyou University,Xi’an 710065,China
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    References(27)

    [12] GOODFELLOW I J, POUGET-ABADIE J, MIRZA M et al. Generative adversarial nets[C], 2672-2680(2014).

    [18] ZEYDE R, ELAD M, PROTTER M. On single image scale-up using sparse-representations[C], 711-730(2010).

    [19] MARTIN D, FOWLKES C, TAL D et al. A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics[C], 416-423(2001).

    [23] KINGMA D P, BA J. Adam: a method for stochastic optimization[J]. arXiv(2014).

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    Le ZHOU, Long XU, Xiao-yan LIU, Xin-ze ZHANG, Xuan-de ZHANG. Gradient-aware based single image super-resolution[J]. Chinese Journal of Liquid Crystals and Displays, 2022, 37(10): 1334

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    Paper Information

    Category: Research Articles

    Received: Mar. 11, 2022

    Accepted: --

    Published Online: Oct. 10, 2022

    The Author Email: Xuan-de ZHANG (zhangxuande@sust.edu.cn)

    DOI:10.37188/CJLCD.2022-0083

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