Laser & Optoelectronics Progress, Volume. 59, Issue 20, 2011010(2022)

End-to-End Computational Imaging Based on Multispectral Fusion

Yilan Nan, Junfei Shen*, and Qican Zhang
Author Affiliations
  • College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, Sichuan, China
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    References(22)

    [1] Guo L, Chen L L, Cheng D Q et al. Super resolution of low illumination image based on color restoration and edge preserving[J]. Application Research of Computers, 39, 1253-1258, 1264(2022).

    [4] Chen Q J, Li J Y, Hu Q N. Low-illumination image enhancement algorithm based on parallel residual network[J]. Laser & Optoelectronics Progress, 58, 1410015(2021).

    [8] Wang K, Huang F Z. Multiscale Retinex image enhancement in HSV space based on illumination compensation[J]. Laser & Optoelectronics Progress, 59, 1010004(2022).

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    Yilan Nan, Junfei Shen, Qican Zhang. End-to-End Computational Imaging Based on Multispectral Fusion[J]. Laser & Optoelectronics Progress, 2022, 59(20): 2011010

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    Paper Information

    Category: Imaging Systems

    Received: Aug. 15, 2022

    Accepted: Sep. 9, 2022

    Published Online: Oct. 13, 2022

    The Author Email: Shen Junfei (shenjunfei@scu.edu.cn)

    DOI:10.3788/LOP202259.2011010

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