Opto-Electronic Engineering, Volume. 45, Issue 12, 180188(2018)

Infrared intensity and polarization image mimicry fusion based on the combination of variable elements and matrix theory

Lv Sheng1, Yang Fengbao1, Ji Linna1,2, and Wang Xiangdong1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less
    References(21)

    [1] [1] Yang F B, Lin S Z, Wang X X. Infrared Physics and Technology[ M]. Beijing: Publishing House of Electronics Industry, 2014: 257.

    [2] [2] Jiang H L, Jiang L, Fu Q, et al. Discussion of the polarization spectral imaging observations technology with space debris[J]. Journal of Deep Space Exploration, 2015, 2(3): 272–277.

    [3] [3] Moonon A U, Hu J W. Multi-focus image fusion based on NSCT and NSST[J]. Sensing and Imaging, 2015, 16(1): 4.

    [4] [4] Li X M, Huang Q C. Target detection method for infrared polarization image in the background of desert[J]. Infrared Technology, 2016, 38(9): 779–782.

    [5] [5] Wang X, Liang J A, Long H B, et al. Experimental study on long wave infrared polarization imaging of typical background and objectives[J]. Infrared and Laser Engineering, 2016, 45(7): 0704002.

    [6] [6] Yue Z, Li F M. Polarization image fusion algorithm based on wavelet transform[J]. Journal of Applied Optics, 2014, 35(2): 321–326.

    [7] [7] Nencini F, Garzelli A, Baronti S, et al. Remote sensing image fusion using the curvelet transform[J]. Information Fusion, 2007, 8(2): 143–156.

    [8] [8] Ma J Y, Chen C, Li C, et al. Infrared and visible image fusion via gradient transfer and total variation minimization[J]. Information Fusion, 2016, 31: 100–109.

    [9] [9] Yang F B, Wei H. Fusion of infrared polarization and intensity images using support value transform and fuzzy combination rules[J]. Infrared Physics & Technology, 2013, 60: 235–243.

    [10] [10] Amolins K, Zhang Y, Dare P. Wavelet based image fusion techniques-an introduction, review and comparison[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2007, 62(4): 249–263.

    [11] [11] Zhou Q, Zhao J F, Feng H J, et al. Infrared polarization image fusion with non-sampling shearlets[J]. Journal of Zhejiang University (Engineering Science), 2014, 48(8): 1508–1516.

    [12] [12] Zhang L, Yang F B, Ji L N, et al. Multiple-algorithm parallel fusion of infrared polarization and intensity images based on algorithmic complementarity and synergy[J]. Journal of Electronic Imaging, 2018, 27(1): 013029.

    [13] [13] Sappa A D, Carvajal J A, Aguilera C A, et al. Wavelet-based visible and infrared image fusion: a comparative study[J]. Sensors, 2016, 16(6): 861.

    [14] [14] Lv S, Yang F B, Ji L N. Dual-mode infrared image fusion based on the optimized combination of multi-scale decomposition and fusion rules[J]. China Sciencepaper, 2017, 12(2): 161–167.

    [15] [15] Tomita M, Aoki S. Visual discrimination learning in the small octopus Octopus ocellatus[J]. Ethology, 2014, 120(9): 863–872.

    [16] [16] Hanlon R T, Watson A C, Barbosa A. A ”Mimic octopus” in the atlantic: flatfish mimicry and camouflage by Macrotritopus defilippi[ J]. The Biological Bulletin, 2010, 218(1): 15–24.

    [17] [17] Wu J X. Meaning and vision of mimic computing and mimic security defense[J]. Telecommunications Science, 2014, 30(7): 2–7.

    [18] [18] Yang F B. Research on theory and model of mimic fusion between infrared polarization and intensity images[J]. Journal of North University of China (Natural Science Edition), 2017, 38(1): 1–8.

    [19] [19] Zhang L, Yang F B, Ji L N, et al. A categorization method of infrared polarization and intensity image fusion algorithm based on the transfer ability of difference features[J]. Infrared Physics & Technology, 2016, 79: 91–100.

    [20] [20] Chen M S. Image fusion of visual and infrared image based on NSCT and compressed sensing[J]. Journal of image and Graphics, 2016, 21(1): 39–44.

    [21] [21] Luo J, Kong W W, Liu R. An infrared and visible image fusion method based on NSST and region growing algorithm[J]. China Sciencepaper, 2016, 11(14): 1673–1678.

    Tools

    Get Citation

    Copy Citation Text

    Lv Sheng, Yang Fengbao, Ji Linna, Wang Xiangdong. Infrared intensity and polarization image mimicry fusion based on the combination of variable elements and matrix theory[J]. Opto-Electronic Engineering, 2018, 45(12): 180188

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Article

    Received: Apr. 13, 2018

    Accepted: --

    Published Online: Dec. 18, 2018

    The Author Email:

    DOI:10.12086/oee.2018.180188

    Topics