Laser & Optoelectronics Progress, Volume. 58, Issue 6, 610001(2021)

Infrared and Low-Light Image Fusion Based on Tetrolet and Cauchy Fuzzy Function

Cui Ziwei, Zhan Weida*, Fu Jingqi, and Wei Ranran
Author Affiliations
  • School of Electronic Information Engineering, Changchun University of Science and Technology, Changchun, Jilin 130022, China
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    References(21)

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    [9] Cai J J, Cheng Q M, Peng M J et al. Fusion of infrared and visible images based on nonsubsampled contourlet transform and sparse K-SVD dictionary learning[J]. Infrared Physics & Technology, 82, 85-95(2017).

    [14] Huang Y, Zhang D X, Yuan B H et al. Fusion of visible and infrared image based on stationary tetrolet transform[C]. //2017 32nd Youth Academic Annual Conference of Chinese Association of Automation (YAC), May 19-21, 2017, Hefei, China., 854-859(2017).

    [18] Hua J Q. Infrared and visible image fusion based on PCNN and intuitionistic fuzzy set[D]. Hangzhou: Zhejiang Gongshang University(2020).

    [20] Lin Z H. Research on infrared and visible image fusion based on multi-scale transform[D]. Beijing: University of Chinese Academy of Sciences(2019).

    [21] Zhu Z Q, Yin H P, Chai Y et al. A novel multi-modality image fusion method based on image decomposition and sparse representation[J]. Information Sciences, 432, 516-529(2018).

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    Cui Ziwei, Zhan Weida, Fu Jingqi, Wei Ranran. Infrared and Low-Light Image Fusion Based on Tetrolet and Cauchy Fuzzy Function[J]. Laser & Optoelectronics Progress, 2021, 58(6): 610001

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    Paper Information

    Category: Image Processing

    Received: Jun. 17, 2020

    Accepted: --

    Published Online: Mar. 11, 2021

    The Author Email: Weida Zhan (zhanweida@cust.edu.cn)

    DOI:10.3788/LOP202158.0610001

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