• Infrared Technology
  • Vol. 43, Issue 9, 840 (2021)
Jiuzhang YANG*, Weijian LIU, and Yang CHENG
Author Affiliations
  • [in Chinese]
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    DOI: Cite this Article
    YANG Jiuzhang, LIU Weijian, CHENG Yang. Asymmetric Infrared and Visible Image Fusion Based on Contrast Pyramid and Bilateral Filtering[J]. Infrared Technology, 2021, 43(9): 840 Copy Citation Text show less
    References

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    [2] XIANG T, YAN L, GAO R. A fusion algorithm for infrared and visible images based on adaptive dual-channel unit-linking PCNN in NSCT domain[J]. Infrared Physics & Technology, 2015, 69: 53-61.

    [3] ZHAO J, GAO X, CHEN Y, et al. Multi-window visual saliency extraction for fusion of visible and infrared images[J]. Infrared Physics & Technology, 2016, 76: 295-302.

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    [9] ZHOU Z, WANG B, LI S, et al. Perceptual fusion of infrared and visible images through a hybrid multi-scale decomposition with Gaussian and bilateral filters[J]. Information Fusion, 2016, 30: 1-13.

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    [11] Akerman A. Pyramidal techniques for multisensor fusion[C]//Proceedings of SPIE the International Society for Optical Engineering,1992, 1828: 124-131.

    [12] LI Huafeng, QIU Hongmei, YU Zhengtao, et al. Infrared and visible image fusion scheme based on NSCT and low-level visual features[J].Infrared Physics and Technology, 2016, 76: 174-184.

    [14] Pajares G, Jesús Manuel de la Cruz. A wavelet-based image fusion tutorial[J]. Pattern Recognition, 2004, 37(9): 1855-1872.

    CLP Journals

    [1] LI Wei, LI Zhongmin. Visual Fidelity Fusion of Infrared and Visible Image Using Edge-Aware Smoothing-Sharpening Filter[J]. Infrared Technology, 2022, 44(7): 686

    YANG Jiuzhang, LIU Weijian, CHENG Yang. Asymmetric Infrared and Visible Image Fusion Based on Contrast Pyramid and Bilateral Filtering[J]. Infrared Technology, 2021, 43(9): 840
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