Laser & Optoelectronics Progress, Volume. 59, Issue 22, 2210011(2022)

Multi-Focus Image Fusion Method Based on Double-Scale Decomposition and Random Walk

Xiaomiao Li, Yanchun Yang*, Jianwu Dang, and Yangping Wang
Author Affiliations
  • School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, Gansu , China
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    References(23)

    [1] Li H, Zhang L M, Jiang M R et al. Multi-focus image fusion algorithm based on supervised learning for fully convolutional neural networks[J]. Laser & Optoelectronics Progress, 57, 081015(2020).

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    [3] Zhang X F, Yan H, He H. Multi-focus image fusion based on fractional-order derivative and intuitionistic fuzzy sets[J]. Frontiers of Information Technology & Electronic Engineering, 21, 834-844(2020).

    [5] Li J, Yang Y C, Dang J W et al. NSST and guided filtering for multi-focus image fusion algorithm[J]. Journal of Harbin Institute of Technology, 50, 145-152(2018).

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    [20] Zhang Y F, Geng Z X, Wang J M. Multi-focus image fusion algorithm based on extended phase stretch transform[J]. Laser & Optoelectronics Progress, 57, 221007(2020).

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    [23] Tian S, Ren Y F, Shao X Y et al. Multi-focus image fusion with filter operator and double scale decomposition[J]. Laser & Optoelectronics Progress, 58, 0610010(2021).

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    Xiaomiao Li, Yanchun Yang, Jianwu Dang, Yangping Wang. Multi-Focus Image Fusion Method Based on Double-Scale Decomposition and Random Walk[J]. Laser & Optoelectronics Progress, 2022, 59(22): 2210011

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    Paper Information

    Category: Image Processing

    Received: Aug. 26, 2021

    Accepted: Oct. 27, 2021

    Published Online: Sep. 23, 2022

    The Author Email: Yang Yanchun (yangyanchun102@sina.com)

    DOI:10.3788/LOP202259.2210011

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