• Opto-Electronic Engineering
  • Vol. 30, Issue 6, 59 (2003)
[in Chinese]1、2 and [in Chinese]1
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  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: Cite this Article
    [in Chinese], [in Chinese]. Study on an image fusion algorithm with cross band multi-operator wavelet decomposition[J]. Opto-Electronic Engineering, 2003, 30(6): 59 Copy Citation Text show less
    References

    [1] TOET A, RUYVEN L, VALETON J. Merging thermal and visual images by a contrast pyramid [J]. Optical Engineering,1989, 28(7): 789-792.

    [2] BURT P, KOLCZYNSKI R. Enhanced image capture through fusion [J]. IEEE Trans. on Image Processing, 1993, 4(2):173-182.

    [3] DAS S, KREBS W. Sensor fusion ofmultispectral imagery [J]. Electronics Letters, 2000, 36(13): 1115-1116.

    [4] HASSAINIA F, MAGAFIA M, LANGEVIN F. Image fusion by an orthogonal wavelet transform and comparison with other methods [J]. IEEE Proc ASSP, 1992, 3(2): 1246-1247.

    [5] HUI L, MANJUNATH B, SANJIT M. Multi-sensor image fusion using the wavelet transform [J]. IEEE Trans. Signal Processing, 1994, 9(5): 51-55.

    [6] LIANE C, MUCAHTT K, PRAMED K. Morphological filters and wavelet based image fusion for concealed weapons detection [J].SPIE, 1998, 3376: 110-119.

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    [8] ZHONG Z, RICK S. A categorization of multiscale-decomposition-based image fusion schemes with a performance study for a digital camera application [J]. Proceedings of the IEEE, 1999, 87(8): 1315-1326.

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    [in Chinese], [in Chinese]. Study on an image fusion algorithm with cross band multi-operator wavelet decomposition[J]. Opto-Electronic Engineering, 2003, 30(6): 59
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