Laser & Optoelectronics Progress, Volume. 56, Issue 13, 131103(2019)

Subjective Image Quality Assessment for Large Samples

Yang Liu, Runqiang Jiang*, Hongjun Yu, and Jian Chen
Author Affiliations
  • Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, Jilin 130033, China
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    References(23)

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    [12] Tampere image database. TID2013[OL][2018-10-24]. 2013) http:∥www.ponomarenko.info/tid2013.htm.(2013).

    [16] Kundu D, Choi L K, Bovik A C et al. Perceptual quality evaluation of synthetic pictures distorted by compression and transmission[J]. Signal Processing: Image Communication, 61, 54-72(2018).

    [20] Kang L, Ye P, Li Y et al. Convolutional neural networks for no-reference image quality assessment. [C]∥2014 IEEE Conference on Computer Vision and Pattern Recognition, June 23-28, 2014, Columbus, OH, USA. New York: IEEE, 1733-1740(2014).

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    Yang Liu, Runqiang Jiang, Hongjun Yu, Jian Chen. Subjective Image Quality Assessment for Large Samples[J]. Laser & Optoelectronics Progress, 2019, 56(13): 131103

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    Paper Information

    Category: Imaging Systems

    Received: Dec. 5, 2018

    Accepted: Jan. 29, 2019

    Published Online: Jul. 11, 2019

    The Author Email: Jiang Runqiang (jiang_runqiang@sina.com)

    DOI:10.3788/LOP56.131103

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