Optics and Precision Engineering, Volume. 33, Issue 9, 1481(2025)

Infrared and visible image fusion based on HMSD and improved PCNN

Pengbai REN1、*, Huiyun LEI2, Jianwu DANG1,2, Yangping WANG2, Qiming LIU3, and Li YANG3
Author Affiliations
  • 1National Virtual Simulation Experiment Teaching Center for Rail Transit Information and Control,Lanzhou Jiaotong University, Lanzhou730070, China
  • 2School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou730070, China
  • 3Gansu Xinwangtong Technology Information Co., Ltd, Lanzhou70070, China
  • show less
    References(24)

    [1] XIAO F Y. Multi-sensor data fusion based on the belief divergence measure of evidences and the belief entropy[J]. Information Fusion, 46, 23-32(2019).

    [2] MULLER A C, NARAYANAN S. Cognitively-engineered multisensor image fusion for military applications[J]. Information Fusion, 10, 137-149(2009).

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

    [4] ZHANG H, MA J Y. SDNet: a versatile squeeze-and-decomposition network for real-time image fusion[J]. International Journal of Computer Vision, 129, 2761-2785(2021).

    [5] LIU X W, LI J, YANG X et al. Infrared and visible image fusion based on cross-modal extraction strategy[J]. Infrared Physics & Technology, 124, 104205(2022).

    [6] YANG P F, WU H, CHENG L L et al. Infrared image denoising via adversarial learning with multi-level feature attention network[J]. Infrared Physics & Technology, 128, 104527(2023).

    [7] LI K X, LIU G, GU X J et al. DANT-GAN: a dual attention-based of nested training network for infrared and visible image fusion[J]. Digital Signal Processing, 145, 104316(2024).

    [8] ZUO X T, PENG J J, CHENG T H et al. Modality-perceptive harmonization network for visible-infrared person re-identification[J]. Information Fusion, 118, 102979(2025).

    [9] MA J L, ZHOU Z Q, WANG B et al. Infrared and visible image fusion based on visual saliency map and weighted least square optimization[J]. Infrared Physics & Technology, 82, 8-17(2017).

    [10] LUO Y Y, HE K J, XU D et al. Infrared and visible image fusion based on visibility enhancement and hybrid multiscale decomposition[J]. Optik, 258, 168914(2022).

    [11] 冯鑫, 方超, 龚海峰. 二尺度分解和显著性提取的红外与可见光图像融合[J]. 光谱学与光谱分析, 43, 590-596(2023).

         FENG X, FANG CH, GONG H F et al. Infrared and visible image fusion based on two-scale decomposition and saliency extraction[J]. Spectroscopy and Spectral Analysis, 43, 590-596(2023).

    [12] ZOU D P, YANG B. Infrared and low-light visible image fusion based on hybrid multiscale decomposition and adaptive light adjustment[J]. Optics and Lasers in Engineering, 160, 107268(2023).

    [13] PARIDA P, PANDA M K, ROUT D K et al. Infrared and visible image fusion using quantum computing induced edge preserving filter[J]. Image and Vision Computing, 153, 105344(2025).

    [14] TOET A. Alternating guided image filtering[J]. PeerJ Computer Science, 2(2016).

    [15] 高红霞, 魏涛. 改进PCNN与平均能量对比度的图像融合算法[J]. 红外与激光工程, 51, 421-428(2022).

         GAO H X, WEI T. Image fusion algorithm based on improved PCNN and average energy contrast[J]. Infrared and Laser Engineering, 51, 421-428(2022).

    [17] TANG L F, YUAN J T, ZHANG H et al. PIAFusion: a progressive infrared and visible image fusion network based on illumination aware[J]. Information Fusion, 83, 79-92(2022).

    [18] LIU Y, CHEN X, WARD R K et al. Medical image fusion via convolutional sparsity based morphological component analysis[J]. IEEE Signal Processing Letters, 26, 485-489(2019).

    [19] MA J Y, ZHOU Y. Infrared and visible image fusion via gradientlet filter[J]. Computer Vision and Image Understanding, 197, 103016(2020).

    [20] FU Z Z, ZHAO Y F, XU Y W et al. Gradient structural similarity based gradient filtering for multi-modal image fusion[J]. Information Fusion, 53, 251-268(2020).

    [21] TANG L F, ZHANG H, XU H et al. Rethinking the necessity of image fusion in high-level vision tasks: a practical infrared and visible image fusion network based on progressive semantic injection and scene fidelity[J]. Information Fusion, 99, 101870(2023).

    [22] LIU X W, HUO H T, LI J et al. A semantic-driven coupled network for infrared and visible image fusion[J]. Information Fusion, 108, 102352(2024).

    Tools

    Get Citation

    Copy Citation Text

    Pengbai REN, Huiyun LEI, Jianwu DANG, Yangping WANG, Qiming LIU, Li YANG. Infrared and visible image fusion based on HMSD and improved PCNN[J]. Optics and Precision Engineering, 2025, 33(9): 1481

    Download Citation

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

    Category:

    Received: Feb. 11, 2025

    Accepted: --

    Published Online: Jul. 22, 2025

    The Author Email: Pengbai REN (renpb@mail.lzjtu.cn)

    DOI:10.37188/OPE.20253309.1481

    Topics