A journal of IEEE and CAA , publishes high-quality papers in English on original theoretical/experimental research and development in all areas of automation
Volume 6 Issue 1
Jan.  2019

IEEE/CAA Journal of Automatica Sinica

  • JCR Impact Factor: 6.171, Top 11% (SCI Q1)
    CiteScore: 11.2, Top 5% (Q1)
    Google Scholar h5-index: 51, TOP 8
Turn off MathJax
Article Contents
Gaurav Bhatnagar and Q. M. Jonathan Wu, "A Fractal Dimension Based Framework for Night Vision Fusion," IEEE/CAA J. Autom. Sinica, vol. 6, no. 1, pp. 220-227, Jan. 2019. doi: 10.1109/JAS.2018.7511102
Citation: Gaurav Bhatnagar and Q. M. Jonathan Wu, "A Fractal Dimension Based Framework for Night Vision Fusion," IEEE/CAA J. Autom. Sinica, vol. 6, no. 1, pp. 220-227, Jan. 2019. doi: 10.1109/JAS.2018.7511102

A Fractal Dimension Based Framework for Night Vision Fusion

doi: 10.1109/JAS.2018.7511102

This work was supported in part by the National Natural Science Foundation of China 61533017

This work was supported in part by the National Natural Science Foundation of China U1501251

More Information
  • In this paper, a novel fusion framework is proposed for night-vision applications such as pedestrian recognition, vehicle navigation and surveillance. The underlying concept is to combine low-light visible and infrared imagery into a single output to enhance visual perception. The proposed framework is computationally simple since it is only realized in the spatial domain. The core idea is to obtain an initial fused image by averaging all the source images. The initial fused image is then enhanced by selecting the most salient features guided from the root mean square error (RMSE) and fractal dimension of the visual and infrared images to obtain the final fused image. Extensive experiments on different scene imaginary demonstrate that it is consistently superior to the conventional image fusion methods in terms of visual and quantitative evaluations.


  • loading
  • [1]
    A. Toet, J. J. van Ruyven, and J. M. Valeton, "Merging thermal and visual images by a contrast pyramid, " Opt. Eng., vol. 28, no. 7, pp. 789-792, Jul. 1989. http://openurl.ebscohost.com/linksvc/linking.aspx?stitle=Optical%20Engineering&volume=28&issue=7&spage=789
    E. A. Essock, J. S. McCarley, M. J. Sinai, and W. K. Krebs, "Functional assessment of night-vision enhancement of real-world scenes, " Invest. Ophthalmol. and Vis. Sci., vol. 36, no. S, pp. S5172368, Feb. 1996.
    M. I. Smith and G. Rood, "Image fusion of Ⅱ and IR data for helicopter pilotage, " in Proc. SPIE, Integrated Command Environments, San Diego, CA, USA, vol. 4126, pp. 186-197, Nov. 2000. http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=918409
    S. Das, Y -L Zhang, and W. K. Krebs, "Color night vision for navigation and surveillance, " Transport. Res. Rec. J. Transport. Res. Board, vol. 1708, pp. 40-46, 2000. doi: 10.3141/1708-05
    H. U. Döhler, P. Hecker, and R. Rodloff, "Image data fusion for enhanced situation awareness, " in Proc. RTO SC1 Symp. on the Application of Information Technologies (Computer Science) to Mission Systems, Monterey, California, USA, 1998, pp. 4-1-4-12, 1998.
    P. S. Chavez Jr and A. Y. Kwarteng, "Extracting spectral contrast in Landsat thematic mapper image data using selective principal component analysis, " Photogrammetric Engineering and Remote Sensing, vol. 55, no. 3, pp. 339-348, 1989.
    P. J. Burt and R. J. Kolczynski, "Enhanced image capture through fusion, " in Proc. 4th Int. Conf. on Computer Vision, Berlin, Germany, pp. 173-182, 1993. doi: 10.1023/A%3A1023082924255
    V. S. Petrovic and C. S. Xydeas, "Gradient-based multiresolution image fusion, " IEEE Trans. Image Process., vol. 13, no. 2, pp. 228-237, Feb. 2004. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1278337
    H. Li, B. S. Manjunath, and S. K. Mitra, "Multisensor image fusion using the wavelet transform, " Graph. Models Image Process., vol. 57, no. 3, pp. 235-245, May 1995. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=413273
    I. De and B. Chanda, "A simple and efficient algorithm for multifocus image fusion using morphological wavelets, " Signal Process., vol. 86, no. 5, pp. 924-936, May 2006. http://www.sciencedirect.com/science/article/pii/S0165168405002422
    A. Toet, "Natural colour mapping for multiband night vision imagery, " Inform. Fusion, vol. 4, no. 3, pp. 155-166, Sep. 2003. http://openurl.ebscohost.com/linksvc/linking.aspx?stitle=Information%20Fusion&volume=4&issue=3&spage=155
    V. Tsagiaris and V. Anastassopoulos, "Fusion of visible and infrared imagery for night color vision, " Displays, vol. 26, no. 4-5, pp. 191-196, Oct. 2005. http://www.sciencedirect.com/science/article/pii/S0141938205000442
    A. Toet and M. A. Hogervorst, "Portable real-time color night vision, " in Proc. SPIE Volume 6974, -Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2008 International Society for Optical Engineering, Orlando, FL, USA, vol. 6974, pp. 697402, Mar. 2008.
    Z. Q. Zhou, B. Wang, S. Li, and M. J. Dong, "Perceptual fusion of infrared and visible images through a hybrid multi-scale decomposition with Gaussian and bilateral filters, " Inform. Fusion, vol. 30, pp. 15-26, Jul. 2016. http://www.sciencedirect.com/science/article/pii/S1566253515001013
    D. P. Bavirisetti and R. Dhuli, "Fusion of infrared and visible sensor images based on anisotropic diffusion and KarhunenCLoeve transform, " IEEE Sens. J., vol. 16, no. 1, pp. 203-209, Jan. 2016.
    B. B. Mandelbrot, Fractals:Form, Chance, and Dimension. San Francisco, CA, USA:Freeman, 1977.
    B. B. Mandelbrot, The Fractal Geometry of Nature. San Francisco, CA, USA:Freeman, 1982.
    S. Peleg, J. Naor, R. Hartley, and D. Avnir, "Multiple resolution texture analysis and classification, " IEEE Trans. on Pattern Anal. and Mach. Intell., vol. PAMI-6, no. 4, pp. 518-5232, Jul. 1984. http://med.wanfangdata.com.cn/Paper/Detail/PeriodicalPaper_PM21869220
    J. Lévy-Véhel, "Fractal approaches in signal processing, " Fractals, vol. 3, no. 4, pp. 755-775, Dec. 1995. doi: 10.1142/S0218348X95000679
    G. H. Qu, D. L. Zhang, and P. F. Yan, "Information measure for performance of image fusion, " Electron. Lett., vol. 38, no. 7, pp. 313-315, Mar. 2002. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=995479
    M. Hossny, S. Nahavandi, and D. Creighton, "Comments on information measure for performance of image fusion, " Electron. Lett., vol. 44, no. 18, pp. 1066-1067, Aug. 2008. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4610673
    G. Piella and H. Heijmans, "A new quality metric for image fusion, " Proc. Int. Conf. on Image Processing, Barcelona, Spain, vol. 3, pp. 173-176, Sep. 2003. http://ieeexplore.ieee.org/xpls/icp.jsp?arnumber=1247209
    C. S. Xydeas and V. Petrovic, "Objective image fusion performance measure, " Electron. Lett., vol. 36, no. 4, pp. 308-309, Feb. 2000. http://openurl.ebscohost.com/linksvc/linking.aspx?stitle=Military%20Technical%20Courier&volume=56&issue=2&spage=181


    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(6)  / Tables(4)

    Article Metrics

    Article views (1521) PDF downloads(58) Cited by()


    DownLoad:  Full-Size Img  PowerPoint