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    N-LoLiGan: Unsupervised low-light enhancement GAN with an N-Net for low-light tunnel images

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    • Institution:控制科学与工程学院

    • Title of Paper:N-LoLiGan: Unsupervised low-light enhancement GAN with an N-Net for low-light tunnel images

    • Journal:Digital Signal Processing

    • First Author:王静

    • Document Code:080C545387C6407F8514970261C597FB

    • Volume:143

    • Issue:2023

    • Number of Words:11

    • Translation or Not:No

    • Date of Publication:2023-10

    • Release Time:2023-10-26
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