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Image super-resolution reconstruction using pyramid variance pooling network
Image Processing | 更新时间：2024-10-09

    • Image super-resolution reconstruction using pyramid variance pooling network

    • “In the field of image reconstruction, researchers have constructed a generative network with a pyramid variance pooling module as the core, which effectively improves the peak signal-to-noise ratio and structural similarity of images when zoomed in by 4 times, enhancing the realism of image details.”
    • Chinese Journal of Liquid Crystals and Displays   Vol. 39, Issue 10, Pages: 1380-1390(2024)

    • DOI：10.37188/CJLCD.2023-0366    

      CLC： TP391.4

    • Received：15 November 2023，

      Revised：04 December 2023，

      Published：05 October 2024

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  • PENG Yanfei, LI Yongxin, MENG Xin, et al. Image super-resolution reconstruction using pyramid variance pooling network[J]. Chinese journal of liquid crystals and displays, 2024, 39(10): 1380-1390. DOI： 10.37188/CJLCD.2023-0366.

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Related Author

PENG Yan-fei
LI Yong-xin
Le ZHOU
Long XU
Xiao-yan LIU
Xin-ze ZHANG
Xuan-de ZHANG
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Related Institution

College of Science， Xi’an Shiyou University
National Astronomical Observatories， Chinese Academy of Sciences
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School of Electronic Information and Artificial Intelligence， Shaanxi University of Science & Technology， Xi′an
Optica Information Science and Technology Department， Jiangnan University
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