Laser & Optoelectronics Progress, Volume. 62, Issue 14, 1439003(2025)

Infrared-Visible Image Fusion Network Based on Dual-Branch Feature Decomposition

Xundong Gao1、*, Hui Chen1,2、**, Yaning Yao1, and Chengcheng Zhang1
Author Affiliations
  • 1School of Information and Communication, Guilin University of Electronic Technology, Guilin 541004, Guangxi , China
  • 2Guangxi University Key Laboratory of Microwave and Optical Wave Application Technology, Guilin 541004, Guangxi , China
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    [40] Yin H T, Zhou C S. Cross-fusion Transformer-based infrared and visible image fusion method[J]. Laser & Optoelectronics Progress, 62, 0637002(2025).

    [48] Wang Z S, Chen Y L, Shao W Y et al. SwinFuse: a residual swin transformer fusion network for infrared and visible images[J]. IEEE Transactions on Instrumentation and Measurement, 71, 5016412(2006).

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    Xundong Gao, Hui Chen, Yaning Yao, Chengcheng Zhang. Infrared-Visible Image Fusion Network Based on Dual-Branch Feature Decomposition[J]. Laser & Optoelectronics Progress, 2025, 62(14): 1439003

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    Paper Information

    Category: AI for Optics

    Received: Dec. 23, 2024

    Accepted: Mar. 2, 2025

    Published Online: Jul. 16, 2025

    The Author Email: Xundong Gao (xundonggao@guet.edu.cn), Hui Chen (Chenhui02@guet.edu.cn)

    DOI:10.3788/LOP242481

    CSTR:32186.14.LOP242481

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