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Laser & Optoelectronics Progress, Volume. 57, Issue 8, 081015(2020)

Multi-Focus Image Fusion Algorithm Based on Supervised Learning for Fully Convolutional Neural Networks

Heng Li1、*, Liming Zhang2,3、**, Meirong Jiang2, and Yulong Li1
Author Affiliations
  • 1School of Electronics and Information Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, China
  • 2Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, China
  • 3National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring, Lanzhou, Gansu 730070, China
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    Article index updated: Sep. 11, 2025

    The article is cited by 4 article(s) CLP online library. (Some content might be in Chinese.)
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    Heng Li, Liming Zhang, Meirong Jiang, Yulong Li. Multi-Focus Image Fusion Algorithm Based on Supervised Learning for Fully Convolutional Neural Networks[J]. Laser & Optoelectronics Progress, 2020, 57(8): 081015

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    Paper Information

    Category: Image Processing

    Received: Jul. 22, 2019

    Accepted: Sep. 16, 2019

    Published Online: Apr. 3, 2020

    The Author Email: Heng Li (453984016@qq.com), Liming Zhang (zhanglm8@gmail.com)

    DOI:10.3788/LOP57.081015

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology