• Acta Photonica Sinica
  • Vol. 46, Issue 12, 1210002 (2017)
ZHU Pan*, LIU Ze-yang, and HUANG Zhan-hua
Author Affiliations
  • [in Chinese]
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    DOI: 10.3788/gzxb20174612.1210002 Cite this Article
    ZHU Pan, LIU Ze-yang, HUANG Zhan-hua. Infrared Polarization and Intensity Image Fusion Based on Dual-Tree Complex Wavelet Transform and Sparse Representation[J]. Acta Photonica Sinica, 2017, 46(12): 1210002 Copy Citation Text show less
    References

    [1] YIN Shi-chang, YU Song-lin. Infrared image enhancement algorithm based on wavelettransform and histogram equalization [J]. Laser & Infrared, 2013, 43(2): 225-228.

    [2] YANG Feng-bao, LI Wei-wei, LIN Su-zhen, et al. Study on fusion of infrared polarization and intensity images [J].Infrared Technology, 2011, 33(5): 262-266.

    [3] DUAN Jin, FU Qiang, MO Chun-he, et al. Review of polarization imaging technology for international military application I [J].Infrared Technology, 2014, 36(3): 190-195.

    [4] FELTON M, GURTON KP, PEZZANITI J L, et al. Measured comparison of the crossover periods for mid-and long-wave IR (MWIR and LWIR) polarimetric and conventional thermal imagery [J].Optics Express, 2010, 18(15): 15705-15713.

    [5] PARIS S, HASINOFF S W, KAUTZ J. Local Laplacian filters: Edge-aware image processing with a Laplacian pyramid[J]. Communications of the ACM, 2015, 58(3): 81-91.

    [6] LU H, ZHANG L, SERIKAWA S. Maximum local energy: an effective approach for multisensory image fusion in beyond wavelet transform domain [J]. Computers & Mathematics with Applications, 2012, 64: 996-1003.

    [7] KONG W W, LEI Y, ZGAO H X. Adaptive fusion method of visible light and infrared images based on non-subsampled shearlet transform and fast non-negative matrix factorization [J]. Infrared Physics & Technology, 2014, 67: 161-172.

    [8] ZHU P, MA X, HUANG Z. Fusion of infrared-visible images using improved multi-scale top-hat transform and suitable fusion rules[J]. Infrared Physics & Technology, 2017, 81: 282-295.

    [9] BAI XZ, ZHANG Y.Detail preserved fusion of infrared and visual images by using opening and closing based toggle operator[J].Optics & Laser Technology, 2014, 63: 105-113.

    [10] LI T J, WANG Y Y. Biological image fusion using a NSCT based variable-weight method[J].Information Fusion, 2011, 12: 85-92.

    [11] ADU J H, GAN J H, WANG Y,et al. Image fusion based on nonsubsampled contourlet transform for infrared and visible light image[J].Infrared Physics & Technology, 2013, 61(1): 94-100.

    [12] ZHANG D X, LI J X, CHEN Z H, et al. Fusion of polarization image using bidimensional empirical mode decomposition [C].Computer Science and Mechanical Automation (CSMA), 2015 International Conference on. IEEE, 2015: 206-209.

    [13] ZHU P, HUANG Z, LEI H. Fusion of infrared and visible images based on BEMD and NSDFB [J]. Infrared Physics & Technology, 2016, 77: 82-93.

    [14] ZHANG Lei, LOU Chang-geng, ZHANG Ying-ying,et al. Fusion algorithm of infrared and visible images based on support value transform [J]. Laser Technology, 2015, 39(3): 428-431.

    [15] CUI G M, FENG H J, XU Z H, et al. Detail preserved fusion of visible and infrared images using regionalsaliency extraction and multi-scale image decomposition [J].Optics Communications, 2015, 341: 199-209.

    [16] XIANG T Z, YAN L, GAO R G. A fusion algorithm for infrared and visible images based on adaptivedual-channel unit-linking PCNN in NSCT domain [J]. Infrared Physics & Technology, 2015, 69: 53-61.

    [17] WANG Z, MA Y, GU J, Multi-focus image fusion using PCNN [J].Pattern Recognition, 2010, 43: 2003-2016.

    [18] HE C, LIU Q, LI H,et al. Multimodal medical image fusion based on HIS and PCA [J].Procedia Engineering, 2010, 7: 280-285.

    [19] CVEJIC N, BULL D, CANAGARAJAH N. Region-based multimodal image fusion using ICA bases [J]. IEEE Sensors Journal, 2007, 7(5): 743-751.

    [20] YANG B, LI S T. Multifocus image fusion and restoration with sparse representation [J].IEEE TransactionsonInstrumentation and Measurement, 2010, 59(4): 884-892.

    [21] LI S T, YIN H T, FANG L Y. Remote sensing image fusion via sparse representations over learned dictionaries[J].IEEE Transactionson Geoscience and Remote Sensing, 2013, 51(9): 4779-4789.

    [22] KIM M, HAN D K, KO H. Joint patch clustering-based dictionary learning for multimodal imageFusion [J].Information Fusion, 2016, 27: 198-214.

    [23] LIU Y, LIU S P, WANG Z F. A general framework for image fusion based on multi-scale transformand sparse representation [J].Information Fusion, 2015, 24: 147-164.

    [24] YU N N, QIU T S, BI F,et al.Image Features extraction and fusion based on joint sparse representation [J].IEEE Journal of Selected Topics in Signal Processing, 2011, 5(5): 1074-1082.

    [25] WANG Xin, JI Tong-bo, 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.

    [26] YANG B, LI S T. Pixel-level image fusion with simultaneous orthogonal matching pursuit [J].Information Fusion, 2012, 13: 10-19.

    [27] KINGSBURY N. Image processing with complex wavelets[J]. Philosophical Transactions of the Royal Society of London A: Mathematical, Physical and Engineering Sciences, 1999, 357(1760): 2543-2560.

    [28] ZHANG Xiang, ZHANG Jian-qi, QIN Han-lin,et al.Dual-tree complex wavelet transform for infrared dim target background suppression [J].Acta Photonica Sinica, 2010, 39(9): 1672-1677.

    [29] YIN Ming, PANG Ji-yong, WEI Yuan-yuan,et al. Remote sensing image fusion based on non-subsampled dual-tree complex wavelet transform and sparse representation[J].Acta Photonica Sinica, 2016, 45(1): 0110002.

    [30] ZHENG Z, YONG X, JIAN Y,et al.A survey of sparse representation: algorithms and applications [J].IEEE. Translations and Content Mining, 2015, 3: 490-530.

    [31] AHARON M, ELAD M, BRUCKSTEIN A. K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation [J].IEEE Transactionson Signal Processing, 2006, 54(11): 4311-4322.

    [32] TROPP J, GILBERT A C. Signal recovery from partial information via orthogonal matching pursuit[J]. IEEE Transactions Information Theory, 2007, 53(12): 4655-4666.

    [33] YAND F B, WEI H. Fusion of infrared polarization and intensity images using support valuetransform and fuzzy combination rules [J]. Infrared Physics & Technology, 2013, 60: 235-243.

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    ZHU Pan, LIU Ze-yang, HUANG Zhan-hua. Infrared Polarization and Intensity Image Fusion Based on Dual-Tree Complex Wavelet Transform and Sparse Representation[J]. Acta Photonica Sinica, 2017, 46(12): 1210002
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