• Laser & Optoelectronics Progress
  • Vol. 54, Issue 11, 111003 (2017)
Xu Lei, Cui Guangmang*, Zheng Chenpu, and Zhao Jufeng
Author Affiliations
  • [in Chinese]
  • show less
    DOI: 10.3788/lop54.111003 Cite this Article Set citation alerts
    Xu Lei, Cui Guangmang, Zheng Chenpu, Zhao Jufeng. Fusion Method of Visible and Infrared Images Based on Multi-Scale Decomposition and Saliency Region Extraction[J]. Laser & Optoelectronics Progress, 2017, 54(11): 111003 Copy Citation Text show less
    References

    [1] Xydeas C S, Petrovic V. Objective image fusion performance measure[J]. Electronics Letters, 2000, 36(4): 308-309.

    [2] Qu G H, Zhang D,Yan P F. Medical image fusion by wavelet transform modulus maxima[J]. Optics Express, 2001, 9(4): 184-190.

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

    [4] Guo B L, Zhang Q, Hou Y. Region-based fusion of infrared and visible images using nonsubsampled contourlet transform[J]. Chinese Optics Letters, 2008, 6(5): 338-341.

    [5] Bulanon D M, Burks T F, Alchanatis V. Image fusion of visible and thermal images for fruit detection[J]. Biosystems Engineering, 2009, 103(1): 12-22.

    [6] Matsopoulos G K, Marshall S. Application of morphological pyramids: fusion of MR and CT phantoms[J]. Journal of Visual Communication & Image Representation, 1995, 6(2): 196-207.

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

    [8] Gonzalez-Audicana M, Saleta J L, Catalan R G, et al. Fusion of multispectral and panchromatic images using improved IHS and PCA mergers based on wavelet decomposition[J]. IEEE Transactions on Geoscience & Remote Sensing, 2004, 42(6): 1291-1299.

    [9] Kong W W, Zhang L J, Lei Y. Novel fusion method for visible light and infrared images based on NSST-SF-PCNN[J]. Infrared Physics & Technology, 2014, 65(7): 103-112.

    [10] Ding M, Wei L, Wang B. Research on fusion method for infrared and visible images via compressive sensing[J]. Infrared Physics & Technology, 2013, 57: 56-67.

    [11] Wang R, Du L. Infrared and visible image fusion based on random projection and sparse representation[J]. International Journal of Remote Sensing, 2014, 35(5): 1640-1652.

    [12] Li Ruichang, Zou Gangyi, Wang Chenchen, et al. Optical design of visible and infrared integrative camera[J]. Acta Optica Sinica, 2016, 36(5): 0522002.

    [13] Wang Xin, Ji Tongbo, Liu Fu. Fusion of infrared and visible images based on target segmentation and compressed sensing[J]. Optics and Precision Engineering, 2016, 24(7): 1743-1753.

    [14] Zhou Yuren, Geng Aihui, Wang Ying, et al. Contrast enhanced fusion of infrared and visible images[J]. Chinese J Lasers, 2014, 41(9): 0909001.

    [15] Bai X Z, Chen X W, Zhou F G, et al. Multiscale top-hat selection transform based infrared and visual image fusion with emphasis on extracting regions of interest[J]. Infrared Physics & Technology, 2013, 60: 81-93.

    [16] Chen Lei, Yang Fengbao, Wang Zhishe, et al. Research on fusion algorithm of infrared and visible imagery based on variational enhanced model[J]. Laser & Optoelectronics Progress, 2014, 51(4): 041003.

    [17] Wang Yumei, Chen Daimei, Zhao Genbao. Image fusion algorithm of infrared and visible images based on target extraction and Laplace transformation[J]. Laser & Optoelectronics Progress, 2017, 54(1): 011002.

    [18] Zhang Qiang, Guo Baolong. Infrared and color visible images fusion based on color transfer and information entropy[J]. Acta Optica Sinica, 2011, 31(s1): s100418.

    [19] Chen Musheng, Cai Zhishan. Study on fusion of visual and infrared images based on NSCT[J]. Laser & Optoelectronics Progress, 2015, 52(6): 061002.

    [20] Hong R C, Wang C, Wang M, et al. Salience preserving multifocus image fusion with dynamic range compression[J]. International Journal of Innovative Computing Information and Control, 2009, 5(8): 2369-2380.

    [21] Zhao J F, Feng H J, Xu Z H, et al. Detail enhanced multi-source fusion using visual weight map extraction based on multi scale edge preserving decomposition[J]. Optics Communications, 2013, 287: 45-52.

    [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, 2015, 341: 199-209.

    [23] Li Meng, Hua Weiping, Zhao Jufeng. Dual-band image fusion using visual attention extraction with multiple windows[J]. Laser & Optoelectronics Progress, 2015, 52(12): 121002.

    [24] Shen C T, Chang F J, Hung Y P, et al. Edge-preserving image decomposition using L1 fidelity with L0 gradient[C]. SIGGRAPH Asia 2012 Technical Briefs, 2012: 1-4.

    [25] Li S T, Kang X D, Hu J W. Image fusion with guided filtering[J]. IEEE Transactions on Image Processing, 2013, 22(7): 2864-2875.

    [26] Roberts J W, Aardt J A V, Ahmed F B. Assessment of image fusion procedures using entropy, image quality, and multispectral classification[J]. Journal of Applied Remote Sensing, 2008, 2(1): 023522.

    [27] Jin H Y, Wang Y Y. A fusion method for visible and infrared images based on contrast pyramid with teaching learning based optimization[J]. Infrared Physics & Technology, 2014, 64: 134-142.

    [28] Eskicioglu A M, Fisher P S. Image quality measures and their performance[J]. IEEE Transactions on Communications, 1996, 43(12): 2959-2965.

    Xu Lei, Cui Guangmang, Zheng Chenpu, Zhao Jufeng. Fusion Method of Visible and Infrared Images Based on Multi-Scale Decomposition and Saliency Region Extraction[J]. Laser & Optoelectronics Progress, 2017, 54(11): 111003
    Download Citation