DU Jinkai, CHEN Shiguo. Adaptive PCNN Image Fusion Algorithm Based on Double Tree Complex Wavelet Transform[J]. Infrared Technology , 2018, 40(10): 1002-1007.
Citation: DU Jinkai, CHEN Shiguo. Adaptive PCNN Image Fusion Algorithm Based on Double Tree Complex Wavelet Transform[J]. Infrared Technology , 2018, 40(10): 1002-1007.

Adaptive PCNN Image Fusion Algorithm Based on Double Tree Complex Wavelet Transform

More Information
  • Related Articles

    [1]SUN Jing, WANG Zhishe, YANG Fan, YU Zhaofa. Multi-layer Perceptron Interactive Fusion Method for Infrared and Visible Images[J]. Infrared Technology , 2025, 47(5): 619-627.
    [2]DING Huabin, DING Qiwen. Fusion Algorithm of Infrared and Visible Images Based on Semantic Loss[J]. Infrared Technology , 2023, 45(9): 941-947.
    [3]LI Yunhong, LIU Yudong, SU Xueping, LUO Xuemin, YAO Lan. Review of Infrared and Visible Image Registration[J]. Infrared Technology , 2022, 44(7): 641-651.
    [4]WANG Junyao, WANG Zhishe, WU Yuanyuan, CHEN Yanlin, SHAO Wenyu. Multi-Feature Adaptive Fusion Method for Infrared and Visible Images[J]. Infrared Technology , 2022, 44(6): 571-579.
    [5]LIN Zihui, WEI Yuxing, ZHANG Jianlin, XU Zhiyong. Image Fusion of Infrared and Visible Images Based on Saliency Map[J]. Infrared Technology , 2019, 41(7): 640-645.
    [6]Improved Infrared and Visible Light Image Fusion Algorithm Based on NSCT[J]. Infrared Technology , 2017, 39(12): 1127-1130.
    [7]ZHANG Yao-jun, WU Gui-ling, LI Lei. Fusion for Infrared and Visible Light Images Based on Shearlet Transform and Quantum Theory Model[J]. Infrared Technology , 2015, (5): 418-423.
    [8]Study on IR/Visible Image Registration for Lens Assembly[J]. Infrared Technology , 2013, (1): 50-55.
    [9]WANG Kun-peng, XU Yi-dan, YU Qi-feng. Classification and State of IR/Visible Image Registration Methods[J]. Infrared Technology , 2009, 31(5): 270-274. DOI: 10.3969/j.issn.1001-8891.2009.05.007
    [10]Image Fusion Algorithm for Visual and Infrared Image Based on Local Energy Ratio[J]. Infrared Technology , 2008, 30(4): 221-224. DOI: 10.3969/j.issn.1001-8891.2008.04.010
  • Cited by

    Periodical cited type(6)

    1. 姜迈,沙贵君,李宁. 基于PUCS与DTCWT的红外与弱可见光图像融合. 红外技术. 2022(07): 716-725 . 本站查看
    2. 蔡贇,王真理,梁瑶,张舒扬,陈桂廷,刘净余. 双树复小波变换在时移微重力监测上的应用——以辽河油田SAGD区为例. 地球物理学进展. 2021(02): 549-558 .
    3. 邢义通,周鸿博,李志鹏,张玉皓,胡志芳. 阶次跟踪和双树复小波的轴承在非稳定运行时的故障诊断研究. 机械科学与技术. 2020(03): 361-366 .
    4. 潘丽峰. 图像压缩感知融合技术探究. 电脑知识与技术. 2020(35): 202-203 .
    5. 刘占伟,李华,赵志凯. 有限离散剪切波域的多聚焦图像融合算法. 电光与控制. 2019(10): 49-53+105 .
    6. 高少忠,沈小林. DT-CWT优化边缘特征和自适应PCNN的图像融合. 电子测量与仪器学报. 2019(09): 114-120 .

    Other cited types(8)

Catalog

    Article views (136) PDF downloads (11) Cited by(14)
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return