Infrared Technology, Volume. 47, Issue 7, 842(2025)

Infrared and Visible Image Fusion Based on Image Enhancement and Multiscale Decomposition

Qingdian ZHAO and Dehong YANG*
Author Affiliations
  • School of Land and Resources Engineering, Kunming University of Technology, Kunming 650031, China
  • show less
    References(19)

    [1] [1] LI S T, KANG X D, FANG L Y, et al. Pixel-level image fusion: a survey of the state of the art[J].Information Fusion, 2017,33:100-112.

    [2] [2] MA J Y, MA Y, LI C. Infrared and visible image fusion methods and applications: A survey[J].Information Fusion, 2019,45: 153-178.

    [3] [3] DU J, LI W S, LU K, et al. An overview of multi-modal medical image fusion[J].Neurocomputing, 2016,215: 3-20.

    [8] [8] TAO L, Ngo H, ZHANG M, et al. A multisensor image fusion and enhancement system for assisting drivers in poor lighting conditions[C]//34thApplied Imagery and Pattern Recognition Workshop(AIPR'05).IEEE, 2005,6: 106-113.

    [9] [9] Bavirisetti D P, Dhuli R. Fusion of infrared and visible sensor images based on anisotropic diffusion and Karhunen-Loeve transform[J].IEEE Sensors Journal, 2015,16(1): 203-209.

    [10] [10] Kumar B S. Image fusion based on pixel significance using cross bilateral filter[J].Signal, Image and Video Processing, 2015,9: 1193-1204.

    [11] [11] LIU Y, CHEN X, CHENG J, et al. Infrared and visible image fusion with convolutional neural networks[J].International Journal of Wavelets, Multiresolution and Information Processing, 2018,16(3): 1850018.

    [12] [12] Bavirisetti D P. Multi-sensor image fusion based on fourth order partial differential equations[C]//20thInternational Conference on Information Fusion(Fusion),IEEE, 2017.1-9

    [13] [13] MA J, CHEN C, LI C, et al. Infrared and visible image fusion via gradient transfer and total variation minimization[J].Information Fusion, 2016,31: 100-109.

    [14] [14] ZHOU Z, DONG M, XIE X, et al. Fusion of infrared and visible images for night-vision context enhancement[J].Appl Opt, 2016,55(23): 6480-6490.

    [15] [15] 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: 15-26.

    [16] [16] ZHANG Y, ZHANG L, BAI X, et al. Infrared and visual image fusion through infrared feature extraction and visual information preservation[J].Infrared Physics & Technology, 2017, 83.

    [17] [17] Aardt V Jan. Assessment of image fusion procedures using entropy, image quality, and multispectral classification[J].Journal of Applied Remote Sensing, 2008,2(1): 1-28.

    [18] [18] LI S T, KANG X D, HU J W. Image fusion with guided filtering[J].IEEE Transactions on Image Processing, 2013,22(7): 2864- 2875.

    [19] [19] Rajalingam B, Priya R. Hybrid multimodality medical image fusion technique for feature enhancement in medical diagnosis[C]//International Journal of Engineering Science Invention(IJESI), 2018: 52-60.

    [20] [20] Eskicioglu A M, Fisher P S. Image quality measures and their performance[J].IEEE Trans Commun, 1995,43(12): 2959-2965.

    [21] [21] Xydeas C S, Pv V. Objective image fusion performance measure[J].Military Technical Courier, 2000,56(4):181-193.

    [22] [22] YIN C, Blum R S. A new automated quality assessment algorithm for image fusion[J].Image & Vision Computing, 2009,27(10): 1421-1432.

    [23] [23] Aardt V Jan. Assessment of image fusion procedures using entropy, image quality, and multispectral classification[J].Journal of Applied Remote Sensing, 2008,2(1): 1-28..

    Tools

    Get Citation

    Copy Citation Text

    ZHAO Qingdian, YANG Dehong. Infrared and Visible Image Fusion Based on Image Enhancement and Multiscale Decomposition[J]. Infrared Technology, 2025, 47(7): 842

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: May. 6, 2023

    Accepted: Aug. 12, 2025

    Published Online: Aug. 12, 2025

    The Author Email: YANG Dehong (1486097650@qq.com)

    DOI:

    Topics