• Electro-Optic Technology Application
  • Vol. 31, Issue 3, 9 (2016)
BI Xiang-li
Author Affiliations
  • [in Chinese]
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    DOI: Cite this Article
    BI Xiang-li. Research on Imaging Technology for Reflective Compressive Coded Aperture Super-resolution[J]. Electro-Optic Technology Application, 2016, 31(3): 9 Copy Citation Text show less
    References

    [1] Takhar D, Laska J N, Wakin M B, et al. A new compressive imaging camera architecture using optical-domain compression[J]. Proc. of Computational Imaging IV at SPIE Electronic Imaging, 2006.

    [2] Stern A, Javidi B. Random projections imaging with extended space-bandwidth product[J]. Journal of Display Technology, 2007, 3(3):315-320.

    [3] Marcia R F, Willett R M. Compressive coded aperture superre solution image reconstruction[J]. Proc. of IEEE, 2008.

    [4] Pitsianis N P, Brady D J, Sun X. Sensor-layer image compression based on the quantized cosine transform[J]. SPIE Visual Information Processing, 2005.

    [5] Baraniuk R, Steeghs P. Compressive radar imaging[J]. IEEE Radar Conference, 2007:128-133

    [6] David Brady, Kerkil Choi, Daniel Marks, et al. Compressive holography[J]. Optics Express, 2009, 17:13040-13049.

    [7] Lustig M, Donoho D, Pauly JM. Sparse MRI: The application of compressed sensing for rapid MR imaging[J]. Magn. Reson. Med., 2007, 58(6):1182-1195.

    [8] Lu Y, Zhang X, Douraghy A, et al. Source reconstruction for spectrally-resolved bioluminescence tomography with sparse a priori information[J]. Opt. Express, 2009, 17(10):8062-8080.

    [9] Bobin J, Starck J-L, Ottensamer R. Compressed sensing in astronomy[J]. IEEE, 2008, 2(5):718-726.

    [10] Albert C, Fannjiang, Thomas Strohmer, et al. Compressed remote sensing of sparse objects[J]. Imaging Sciences,2005, 3(3):595-618.