Laser & Optoelectronics Progress, Volume. 61, Issue 4, 0437001(2024)

Infrared and Visible Light Image Fusion Based on Image Enhancement and Secondary Nonsubsampled Contourlet Transform

Qingdian Zhao and Dehong Yang*
Author Affiliations
  • Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming 650093, Yunnan, China
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    References(29)

    [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, 33, 100-112(2017).

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

    [3] Du J, Li W S, Lu K et al. An overview of multi-modal medical image fusion[J]. Neurocomputing, 215, 3-20(2016).

    [4] Jin H Y, Jiao L C, Liu F et al. Fusion of infrared and visual images based on contrast pyramid directional filter banks using clonal selection optimizing[J]. Optical Engineering, 47, 027002(2008).

    [5] Chen J, Li X J, Luo L B et al. Infrared and visible image fusion based on target-enhanced multiscale transform decomposition[J]. Information Sciences, 508, 64-78(2020).

    [6] Toet A, van Ruyven L J, Valeton J M. Merging thermal and visual images by a contrast pyramid[J]. Optical Engineering, 28, 789-792(1989).

    [7] Madheswari K, Venkateswaran N. Swarm intelligence based optimisation in thermal image fusion using dual tree discrete wavelet transform[J]. Quantitative InfraRed Thermography Journal, 14, 24-43(2017).

    [8] Jiang H X, Guo L Q. An infrared and visible image fusion algorithm based on NSCT and contrast stretching[J]. Journal of Huaiyin Teachers College (Natural Science Edition), 21, 17-23(2022).

    [9] Lu L M. Fusion of infrared and visible images based on local energy and NSCT[J]. Digital Technology & Application, 39, 100-102(2021).

    [10] Cao Y T, Huan K W, Xue C et al. Infrared and visible image fusion based on CNN with NSCT[J]. Infrared Technology, 45, 378-385(2023).

    [11] Cai H Y, Zhuo L R, Zhu P et al. Fusion of infrared and visible images based on non-subsampled contourlet transform and intuitionistic fuzzy set[J]. Acta Photonica Sinica, 47, 0610002(2018).

    [12] Li Tao, Ngo H, Zhang M et al. A multi-sensor image fusion and enhancement system for assisting drivers in poor lighting conditions[C](2005).

    [13] Zhu H R, Liu Y Q, Zhang W Y. Infrared and visible image fusion based on contrast enhancement and multi-scale edge-preserving decomposition[J]. Journal of Electronics & Information Technology, 40, 1294-1300(2018).

    [14] Bavirisetti D P, Dhuli R. Fusion of infrared and visible sensor images based on anisotropic diffusion and karhunen-loeve transform[J]. IEEE Sensors Journal, 16, 203-209(2016).

    [15] Bavirisetti D P, Xiao G, Zhao J H et al. Multi-scale guided image and video fusion: a fast and efficient approach[J]. Circuits, Systems, and Signal Processing, 38, 5576-5605(2019).

    [16] Liu Y, Chen X, Cheng J A et al. Infrared and visible image fusion with convolutional neural networks[J]. International Journal of Wavelets, Multiresolution and Information Processing, 16, 1850018(2018).

    [17] Bavirisetti D P, Xiao G, Liu G. Multi-sensor image fusion based on fourth order partial differential equations[C](2017).

    [19] Zhou Z Q, Dong M J, Xie X Z et al. Fusion of infrared and visible images for night-vision context enhancement[J]. Applied Optics, 55, 6480-6490(2016).

    [20] Li X L, Tan H S, Zhou F Q et al. Infrared and visible image fusion based on domain transform filtering and sparse representation[J]. Infrared Physics & Technology, 131, 104701(2023).

    [21] Zhang Y, Zhang L J, Bai X Z et al. Infrared and visual image fusion through infrared feature extraction and visual information preservation[J]. Infrared Physics & Technology, 83, 227-237(2017).

    [22] Cui G M, Feng H J, Xu Z H et al. Detail preserved fusion of visible and infrared images using regional saliency extraction and multi-scale image decomposition[J]. Optics Communications, 341, 199-209(2015).

    [23] Rajalingam B, Priya R. Hybrid multimodality medical image fusion technique for feature enhancement in medical diagnosis[J]. International Journal of Engineering Science Invention, 2, 52-60(2018).

    [24] Eskicioglu A M, Fisher P S. Image quality measures and their performance[J]. IEEE Transactions on Communications, 43, 2959-2965(1995).

    [25] Xydeas C S, Petrović V. Objective image fusion performance measure[J]. Electronics Letters, 36, 308-309(2000).

    [26] Chen Y, Blum R S. A new automated quality assessment algorithm for image fusion[J]. Image and Vision Computing, 27, 1421-1432(2009).

    [27] Roberts J W, van Aardt J A, Ahmed F B. Assessment of image fusion procedures using entropy, image quality, and multispectral classification[J]. Journal of Applied Remote Sensing, 2, 023522(2008).

    [28] Jagalingam P, Hegde A V. A review of quality metrics for fused image[J]. Aquatic Procedia, 4, 133-142(2015).

    [29] Qu G H, Zhang D L, Yan P F. Information measure for performance of image fusion[J]. Electronics Letters, 38, 313(2002).

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    Qingdian Zhao, Dehong Yang. Infrared and Visible Light Image Fusion Based on Image Enhancement and Secondary Nonsubsampled Contourlet Transform[J]. Laser & Optoelectronics Progress, 2024, 61(4): 0437001

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    Paper Information

    Category: Digital Image Processing

    Received: May. 16, 2023

    Accepted: Jun. 1, 2023

    Published Online: Feb. 26, 2024

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

    DOI:10.3788/LOP231324

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