Acta Photonica Sinica, Volume. 51, Issue 4, 0410002(2022)

Infrared and Visible Image Fusion Method via Interactive Attention-based Generative Adversarial Network

Zhishe WANG1、*, Wenyu SHAO1, Fengbao YANG2, and Yanlin CHEN1
Author Affiliations
  • 1School of Applied Science,Taiyuan University of Science and Technology,Taiyuan 030024,China
  • 2School of Information and Communication Engineering,North University of China,Taiyuan 030051,China
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    References(24)

    [5] Zetao JIANG, Qi JIANG, Yongsong HUANG et al. Infrared and low-light-level visible light enhancement image fusion method based on latent low-rank representation and composite filtering. Acta Photonica Sinica, 49, 0410001(2020).

    [8] Sheng LV, Fengbao YANG, Linna JI et al. Combination fusion of multi-types mimic variables of infrared intensity and polarization image. Infrared and Laser Engineering, 47, 504005(2018).

    [15] Han XU, Jiayi MA, Junjun JIANG et al. U2fusion: a unified unsupervised image fusion network. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44, 502-518(2020).

    [20] Lili TANG, Gang LIU, Gang XIAO. Infrared and visible image fusion method based on dual-path cascade adversarial mechanism. Acta Photonica Sinica, 50, 0910004(2021).

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    Zhishe WANG, Wenyu SHAO, Fengbao YANG, Yanlin CHEN. Infrared and Visible Image Fusion Method via Interactive Attention-based Generative Adversarial Network[J]. Acta Photonica Sinica, 2022, 51(4): 0410002

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    Paper Information

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    Received: Nov. 22, 2021

    Accepted: Dec. 22, 2021

    Published Online: May. 18, 2022

    The Author Email: WANG Zhishe (wangzs@tyust.edu.cn)

    DOI:10.3788/gzxb20225104.0410002

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