Laser & Optoelectronics Progress, Volume. 59, Issue 12, 1210001(2022)

Infrared and Visible Image Fusion Method Based on Rolling Guidance Filter and Convolution Sparse Representation

Peipei Pei, 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)

    [9] Jiang Z T, Wu H, Zhou X L. Infrared and visible image fusion algorithm based on improved guided filtering and dual-channel spiking cortical model[J]. Acta Optica Sinica, 38, 0210002(2018).

    [14] Yang Y C, Wang Y, Dang J W et al. Infrared and visible image fusion based on RGF and improved adaptive Unit-Linking PCNN[J]. Journal of Optoelectronics·Laser, 31, 401-410(2020).

    [16] Liu X H, Chen Z B. Fusion of infrared and visible images based on multi-scale directional guided filter and convolutional sparse representation[J]. Acta Optica Sinica, 37, 1110004(2017).

    [17] Dong A Y, Du Q Z, Long H et al. Multi-focus image fusion based on convolution sparse representation and neighborhood features[J]. Journal of Optoelectronics·Laser, 30, 442-450(2019).

    [22] Shen Y, Wu Z D, Wang X P et al. Tetrolet transform image fusion algorithm based on fuzzy operator[J]. Journal of Frontiers of Computer Science and Technology, 9, 1132-1138(2015).

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    Peipei Pei, Yanchun Yang, Jianwu Dang, Yangping Wang. Infrared and Visible Image Fusion Method Based on Rolling Guidance Filter and Convolution Sparse Representation[J]. Laser & Optoelectronics Progress, 2022, 59(12): 1210001

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    Paper Information

    Category: Image Processing

    Received: Apr. 2, 2021

    Accepted: Jun. 2, 2021

    Published Online: May. 23, 2022

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

    DOI:10.3788/LOP202259.1210001

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