• Journal of Infrared and Millimeter Waves
  • Vol. 39, Issue 6, 810 (2020)
Zhi-Jian LI1、2, Feng-Bao YANG1、*, Yu-Bin GAO3, Lin-Na JI1, and Peng HU1
Author Affiliations
  • 1School of Information and Communication Engineering, North University of China, Taiyuan030051, China
  • 2North University of China, Shuozhou, Shuozhou036000, China
  • 3Department of Mathematics, North University of China, Taiyuan030051, China
  • show less
    DOI: 10.11972/j.issn.1001-9014.2020.06.021 Cite this Article
    Zhi-Jian LI, Feng-Bao YANG, Yu-Bin GAO, Lin-Na JI, Peng HU. Fusion method for infrared and other-type images based on the multi-scale Gaussian filtering and morphological transform[J]. Journal of Infrared and Millimeter Waves, 2020, 39(6): 810 Copy Citation Text show less
    References

    [1] J Ma, Y Ma, C Li. Infrared and visible image fusion methods and applications: A survey. Information Fusion, 45(2018).

    [2] J Xin, J Qian, S Yao. A Survey of infrared and visual image fusion methods. Infrared Physics & Technology, 85, 478-501(2017).

    [3] F Yang, H Wei. Fusion of infrared polarization and intensity images using support value transform and fuzzy combination rules. Infrared Physics & Technology, 60, 235-243(2013).

    [4] P Hu, F Yang, H Wei. Research on constructing difference-features to guide the fusion of dual-modal infrared images. Infrared Physics & Technology, 102, 102994(2019).

    [5] S Li, X Kang, L Fang. Pixel-level image fusion: A survey of the state of the art. Information Fusion, 33, 100-112(2017).

    [6] K Amolins, Y Zhang, P Dare. Wavelet based image fusion techniques: An introduction, review and comparison. Isprs Journal of Photogrammetry & Remote Sensing, 62, 249-263(2007).

    [7] I W Selesnick, R G Baraniuk, N C Kingsbury. The dual-tree complex wavelet transform. IEEE Signal Processing Magazine, 22, 123-151(2005).

    [8] D Singh, D Garg, H S Pannu. Journal of Photographic Science, 65, 108-114(2017).

    [9] B Walczak, B V D Bogaert, D L Massart. Application of wavelet packet transform in pattern recognition of near-IR data. Analytical Chemistry, 68, 1742-1747(1996).

    [10] A L Da Cunha, J Zhou, M N Do. The nonsubsampled contourlet transform: theory, design, and applications. IEEE Transactions on Image Processing, 15, 3089-3101(2006).

    [11] Z Zhu, M Zheng, G Qi. A phase congruency and local laplacian energy based multi-modality medical image fusion method in NSCT domain. IEEE Access, 7, 20811-20824(2019).

    [12] Y Ming, L Wei, Z Xia. A novel image fusion algorithm based on nonsubsampled shearlet transform. Optik - International Journal for Light and Electron Optics, 125, 2274-2282(2014).

    [13] S Li, B Yang, J Hu. Performance comparison of different multi-resolution transforms for image fusion. Information Fusion, 12, 74-84(2011).

    [14] S Li, X Kang, J Hu. Image fusion with guided filtering. IEEE Transactions on Image Processing, 22, 2864-2875(2013).

    [15] J Du, W Li, B Xiao. Anatomical-functional image fusion by information of interest in local laplacian filtering domain. IEEE Transactions on Image Processing, 26, 5855-5865(2017).

    [16] G Bhatnagar, J Wu, Z Liu. Directive contrast based multimodal medical image fusion in NSCT domain. IEEE Transactions on Multimedia, 9, 1014-1024(2013).

    [17] J Gong, B Wang, Q Lin. Image fusion method based on improved NSCT transform and PCNN model(2016).

    [18] T Ma, M Jie, F Bin. Multi-scale decomposition based fusion of infrared and visible image via total variation and saliency analysis. Infrared Physics & Technology, 92, 154-162(2018).

    [19] M Yin. . Medical image fusion with parameter-adaptive pulse coupled-neural network in nonsubsampled shearlet transform domain. IEEE Transactions on Instrumentation & Measurement, 68, 1-16(2018).

    [20] Y Li, Y Sun, X Huang. An image fusion method based on sparse representation and sum modified-laplacian in NSCT domain. Entropy, 20, 522(2018).

    [21] D G Lowe. Distinctive image features from scale-invariant key points. International Journal of Computer Vision, 60, 91-110(2004).

    [22] H Bay, A Ess, T Tuytelaars. Speeded-up robust features (SURF). Computer Vision & Image Understanding, 110, 346-359(2008).

    [23] S Mukhopadhyay, B Chanda. Fusion of 2D grayscale images using multiscale morphology. Pattern Recognition, 34, 1939-1949(2001).

    [24] X Bai, S Gu, F Zhou. Multiscale top-hat selection transform based infrared and visual image fusion with emphasis on extracting regions of interest. Infrared Physics & Technology, 60, 81-93(2013).

    [25] J Goutsias, H M Heijmans. Nonlinear multiresolution signal decomposition schemes--part I: morphological pyramids. IEEE Transactions on Image Processing A Publication of the IEEE Signal Processing Society, 9, 1862-1876(2000).

    [26] G Piella. A general framework for multiresolution image fusion: from pixels to regions. Information Fusion, 4, 259-280(2003).

    [27] Z Wang, A C Bovik. A universal image quality index. IEEE Signal Processing Letters, 9, 81-84(2002).

    [28] G Piella, H Heijmans. A new quality metric for image fusion(2003).

    [29] R Hong. Objective image fusion performance measure. Military Technical Courier, 56, 181-193(2000).

    [30] W J Roberts, J A A Van, F Ahmed. Assessment of image fusion procedures using entropy, image quality, and multispectral classification. Journal of Applied Remote Sensing, 2, 1-28(2008).

    [31] G Qu, D Zhang, P Yan. Information measure for performance of image fusion. Electronics Letters, 38, 313-315(2002).

    [32] H Tamura, S Mori, T Yamawaki. Textural features corresponding to visual perception. IEEE Trans.syst.man.cybernet, 8, 460-473(1978).

    [33] Y Han, Y Cai, Y Cao. A new image fusion performance metric based on visual information fidelity. Information Fusion, 14, 127-135(2013).

    [34] http://figshare.com/articles/TNO_Image_Fusion_Dataset/1008029

    Zhi-Jian LI, Feng-Bao YANG, Yu-Bin GAO, Lin-Na JI, Peng HU. Fusion method for infrared and other-type images based on the multi-scale Gaussian filtering and morphological transform[J]. Journal of Infrared and Millimeter Waves, 2020, 39(6): 810
    Download Citation