• Opto-Electronic Engineering
  • Vol. 30, Issue 1, 59 (2003)
[in Chinese]1, [in Chinese]1, and [in Chinese]2
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  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: Cite this Article
    [in Chinese], [in Chinese], [in Chinese]. A New Image Reconstruction Algorithm for Spectral Analysis and Simulation[J]. Opto-Electronic Engineering, 2003, 30(1): 59 Copy Citation Text show less
    References

    [2] Chen S H, Huang S Y,Shi D F. Orthographic double-beam holographic interferometry for limited-view optical tomography[J]. Appl.Opt, 1995, 34(27): 6282-6285.

    [4] Minerbo G. A maximum entropy algorithm for reconstructing a source from projection data[J]. Computer Graphics and Image Processing, 1979, 10(1): 48-68.

    [5] Matin K, Robert T S. A hilbert space approach to maximum entropy reconstruction[J], Mathematical Methods in the Applied Science, 1988, 10(1): 397-406.

    [6] Stephen J W, Larry R D. Maximum entropy image reconstruction[J]. IEEE Transactions on mco-mputers, 1977, 26(4): 351-364.

    [7] Robert T S, Csaba K Z, George J K, et al. Reconstruction of tomographic images from sparse data sets by a new finite element maximum entropy approach[J]. Applied Optics, 1991, 30(5): 573-582.

    [9] Gabor T H. Image Reconstruction from Projections-the Fundamentals of Computerized Tomography[M]. New York: Academic Press, 1980.

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    [in Chinese], [in Chinese], [in Chinese]. A New Image Reconstruction Algorithm for Spectral Analysis and Simulation[J]. Opto-Electronic Engineering, 2003, 30(1): 59
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