Infrared Technology, Volume. 46, Issue 6, 672(2024)

Infrared and Visible Image Fusion Based on Improved LatLRR Algorithm

Jian ZHANG* and Anxue HUANG
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  • [in Chinese]
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    References(5)

    [3] [3] ZHAN L, ZHUANG Y, HUANG L. Infrared and visible images fusion method based on discrete wavelet transform[J]. Journal of Computational Acoustics, 2017, 28(2): 57-71.

    [5] [5] HE Guiqing, XING Siyuan, HE Xingjian, et al. Image fusion method based on simultaneous sparse representation with non-subsampled contourlet transform[J]. IET Computer Vision, 2019, 13(2): 240-248.

    [6] [6] ZHANG Baohua, LU Xiaoqi, PEI Haiquan, et al. A fusion algorithm for infrared and visible images based on saliency analysis and nonsubsampled Shearlet transform[J]. Infrared Physics & Technology, 2015,73: 286-297.

    [9] [9] TAO Tiwei, LIU Mingxia, HOU Yingkun, et al. Latent low-rank representation with sparse consistency constraint for infrared and visible image fusion[J]. Optik, 2022, 261: 169102.

    [10] [10] LI H,WU X J, KITTLER J. MDLatLRR: a novel decomposition method for infrared and visible image fusion[J]. IEEE Transactions on Image Processing, 2020, 29: 4733-4746.

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    ZHANG Jian, HUANG Anxue. Infrared and Visible Image Fusion Based on Improved LatLRR Algorithm[J]. Infrared Technology, 2024, 46(6): 672

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    Paper Information

    Category:

    Received: Mar. 26, 2023

    Accepted: --

    Published Online: Sep. 20, 2024

    The Author Email: Jian ZHANG (hhzhj@foxmail.com。)

    DOI:

    CSTR:32186.14.

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