Advanced Search
中文
Volume 45 Issue 11
Nov.  2023
Turn off MathJax
Article Contents
Abstract
References
Related Articles
ZHANG Hui, HAN Xinning, HAN Huili, CHANG Lihong. Two-scale Image Fusion of Visible and Infrared Images Based on Guided Filtering Decomposition[J]. Infrared Technology , 2023, 45(11): 1216-1222.
Citation: ZHANG Hui, HAN Xinning, HAN Huili, CHANG Lihong. Two-scale Image Fusion of Visible and Infrared Images Based on Guided Filtering Decomposition[J]. Infrared Technology , 2023, 45(11): 1216-1222.
shu

Two-scale Image Fusion of Visible and Infrared Images Based on Guided Filtering Decomposition

  • 1.

    School of Mathematics and Computer Science, Ningxia Normal University, Guyuan 756000, China

  • 2.

    School of Resources Environment and Life sciences, Ningxia Normal University, Guyuan 756000, China

More Information
  • Received Date: May 18, 2023
  • Revised Date: June 20, 2023
    Graphical Abstract
    • Abstract
  • We proposed a two-scale image-fusion method for infrared and visible light image fusion based on guided filtering to reduce the complexity of multi-scale decomposition fusion algorithms and improve the adaptability of fused images to human visual characteristics. First, we used guided filtering to enhance the visible image and decomposed the source images into base and detail layers using guided filtering. In the fusion rules of the detail layer, we adopted the energy protection methods and detail extraction. Finally, we combined the fused detail layer with the base layer to synthesize the fusion results. The experimental results showed that the proposed method improves the visual effect, detail processing, and edge protection. We discussed the impact of visible image enhancement on fusion methods from experimental data. Enhancement can improve the fusion effect, but the fusion method is key in image fusion.
    • FullText(HTML)
    • References (15)
  • [1]
    ZHANG H, HAN X, ZHANG R. Multimodal image fusion method based on guided filter[J]. International Journal of Pattern Recognition and Artificial Intelligence, 2022, 36(1): 2254003-1-2254003-16.
    [2]
    MA J, MA Y, LI C. Infrared and image fusion methods and applications: a survey[J]. Information Fusion, 2019, 45: 153-178. DOI: 10.1016/j.inffus.2018.02.004
    [3]
    ZHANG H, MA X, TIAN Y S. An Image fusion method based on curvelet transform and guided filter enhancement[J/OL]. Mathematical Problems in Engineering, 2020, https://doi.org/10.1155/2020/9821715.
    [4]
    张慧, 常莉红, 马旭, 等. 一种基于曲波变换与引导滤波增强的图像融合方法[J]. 吉林大学学报: 理学版, 2020, 58(1): 113-119. https://www.cnki.com.cn/Article/CJFDTOTAL-JLDX202001018.htm

    ZHANG H, CHANG L H, MA X. An image fusion method based on curvelet transform and guide filtering enhancement[J] Journal of Jilin University: Science Edition, 2020, 58(1): 113-119. https://www.cnki.com.cn/Article/CJFDTOTAL-JLDX202001018.htm
    [5]
    张慧, 常莉红. 基于方向导波增强的红外与可见光图像融合[J]. 激光与红外, 2020, 50(4): 508-512. https://www.cnki.com.cn/Article/CJFDTOTAL-JGHW202004021.htm

    ZHANG H, CHANG L H. Infrared and visible image fusion based on guided filtering enhancement[J]. Laser & Infrared, 2020, 50(4): 508-512. https://www.cnki.com.cn/Article/CJFDTOTAL-JGHW202004021.htm
    [6]
    张慧, 韩新宁, 韩惠丽. 基于滚动引导滤波的红外与可见光图像融合[J]. 红外技术, 2022, 44(6): 598-603. http://hwjs.nvir.cn/article/id/dbd11d41-ac8b-4bf3-a79b-0067fc0a8266

    ZHANG Hui, HAN Xinning, HAN Huili. Infrared and visible image fusion based on a rolling guidance filter[J]. Infrared Technology, 2022, 44(6): 598-603. http://hwjs.nvir.cn/article/id/dbd11d41-ac8b-4bf3-a79b-0067fc0a8266
    [7]
    Bavirisetti, XIAO D P, ZHAO G H, et al. Multi-scale guided image and video fusion: a fast and efficient approach[J]. Circuits System Signal Process, 2019, 38: 5576-5605. DOI: 10.1007/s00034-019-01131-z
    [8]
    LI S T, KANG X D, HU J W. Image fusion with guided filtering[J]. IEEE Trans. Image Process, 2013, 22(7): 2864 2875. DOI: 10.1109/TIP.2013.2244222
    [9]
    Durga Prasad Bavirisetti, Ravindra Dhuli. Two-scale image fusion of visible and infrared images using saliency detection[J]. Infrared Physics and Technology, 2016, 76: 52-64. DOI: 10.1016/j.infrared.2016.01.009
    [10]
    LIU Y, LIU S, WANG Z. A general framework for image fusion based on multi-scale transform and sparse representation[J]. Information Fusion, 2015, 24: 147-164. DOI: 10.1016/j.inffus.2014.09.004
    [11]
    Ganasala Padadma, Kumar Vinod. Feature-motivated simplified adaptive PCNN-based medical image fusion algorithm in NSST domain[J]. Journal of Digital Imaging, 2016, 29(1): 73-85. DOI: 10.1007/s10278-015-9806-4
    [12]
    ZHOU Z, DONG M, XIE X, et al. Fusion of infrared and visible images for night-vision context enhancement[J]. Applied Optics, 2016, 55(23): 6480-6489. DOI: 10.1364/AO.55.006480
    [13]
    YIN M, LIU X, LIU Y, et al. Medical image fusion with parameter- adaptive pulse coupled neural network in nonsubsampled shearlet transform domain[J]. Instrumentation & Measurement IEEE Transactions, 2019, 68(1): 49-64.
    [14]
    Xydeas C S, Petrović V. Objective image fusion performance measure[J]. Electronics Letters, 2000, 36(4): 308-309. DOI: 10.1049/el:20000267
    [15]
    Hossny M, Nahavandi S, Creighton D. Comments on 'Information measure for performance of image fusion'[J]. Electronics Letters, 2008, 44(18): 1066-1067. DOI: 10.1049/el:20081754
    • Related Articles

  • Related Articles

    [1]ZHOU Huikui, ZHANG Li, HU Sujuan. Underwater Image Enhancement Based on Improved Histogram Matching and Adaptive Equalization[J]. Infrared Technology , 2024, 46(5): 532-538.
    [2]MA Qun, ZHAO Meirong, ZHENG Yelong, SUN Lin, NI Feng. Infrared Image Detail Enhancement Based on Adaptive Conditional Histogram Equalization[J]. Infrared Technology , 2024, 46(1): 52-60.
    [3]LIU He, ZHAO Tiancheng, LI Jiashuai, YANG Daiyong, YUAN Xiaocui, XU Zhihao. Contrast Enhancement Method of SF6 Infrared Image Based on Tri-histogram Equalization Algorithm[J]. Infrared Technology , 2023, 45(10): 1118-1125.
    [4]HE Zhibo, ZENG Xiangjin, DENG Chen, SONG Pengpeng. Infrared Image Enhancement Based on Local Entropy-Local Contrast and Dual-area Histogram Equalization[J]. Infrared Technology , 2023, 45(6): 598-604.
    [5]HU Xuekai, LUO Peng, LI Tiecheng, CAI Yuru, MA Na, ZHOU Xueqing. Multi-scale Image Fusion Based on Adaptive Weighting[J]. Infrared Technology , 2022, 44(4): 404-409.
    [6]CHEN Zhiheng, YAN Limin, ZHANG Jingyang. Nighttime Dehazing Algorithm with Adaptive Global Brightness Compensation[J]. Infrared Technology , 2021, 43(10): 954-959.
    [7]ZHEN Mei, WANG Shupeng. An Adaptive Weighted Average Fusion Method for Visible and Infrared Images[J]. Infrared Technology , 2019, 41(4): 341-346.
    [8]A New Multi-direction Adaptive Weighted Pseudo Median Filtering Algorithm Based on Wavelet Domain[J]. Infrared Technology , 2014, (9): 737-742.
    [9]JIANG Xiao Hui, ZHAO Xun-jie, LI Cheng-jin, ZHANG Xue-song. A Super-Resolution Algorithm Based on Adaptive Weighted Total Variation[J]. Infrared Technology , 2014, (4): 290-293.
    [10]A FCM Segmentation Method of Measurement of Image Based on Adaptive Coefficient of Fuzzy Weight[J]. Infrared Technology , 2013, (3): 146-149.

  • Cited by

    Periodical cited type(0)

    Other cited types(3)

Catalog

    Get Citation
    PDF
    XML
    Article views (140) PDF downloads (46) Cited by(3)
    Related

    Copyright © 《Infrared Technology》Editorial Office滇ICP备12000354号-3

    Supported by: Beijing Renhe Information Technology Co., Ltd.  Baidu Analytics

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return