• Chinese Optics Letters
  • Vol. 15, Issue 12, 121101 (2017)
Chao Wang1、2、3, Xuri Yao3、*, and Qing Zhao1
Author Affiliations
  • 1Center for Quantum Technology Research, School of Physics, Beijing Institute of Technology, Beijing 100081, China
  • 2China Academy of Engineering Physics, Mianyang 621900, China
  • 3Key Laboratory of Electronics and Information Technology for Space Systems, National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China
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    DOI: 10.3788/COL201715.121101 Cite this Article Set citation alerts
    Chao Wang, Xuri Yao, Qing Zhao. Double-threshold technique for achieving denoising in compressive imaging applications[J]. Chinese Optics Letters, 2017, 15(12): 121101 Copy Citation Text show less
    (a) Schematic of CI. (b) Result reconstructed from the entire 3600 measurements. L represents lens.
    Fig. 1. (a) Schematic of CI. (b) Result reconstructed from the entire 3600 measurements. L represents lens.
    Distribution of the |y| and the threshold T1.
    Fig. 2. Distribution of the |y| and the threshold T1.
    Results obtained with different thresholds. (a) Image reconstructed from 1757 measurements selected by yT1, and (b) image reconstructed from the remaining 1843 measurements. (c) Image reconstructed from 1742 measurements selected by yT2, and (d) image reconstructed from remaining 1858 measurements. (e) Image reconstructed from 954 measurements selected by yT, and (f) image reconstructed from remaining 2646 measurements.
    Fig. 3. Results obtained with different thresholds. (a) Image reconstructed from 1757 measurements selected by yT1, and (b) image reconstructed from the remaining 1843 measurements. (c) Image reconstructed from 1742 measurements selected by yT2, and (d) image reconstructed from remaining 1858 measurements. (e) Image reconstructed from 954 measurements selected by yT, and (f) image reconstructed from remaining 2646 measurements.
    (a) Object. (b) Image reconstructed from entire measurements. (c) Image reconstructed with yT. (d) Image reconstructed with yT1. (e) Image reconstructed with yT2.
    Fig. 4. (a) Object. (b) Image reconstructed from entire measurements. (c) Image reconstructed with yT. (d) Image reconstructed with yT1. (e) Image reconstructed with yT2.
    (a) Reciprocal of MSE versus thresholds T1 and T2. (b) 3D intensity profile of image shown in (a).
    Fig. 5. (a) Reciprocal of MSE versus thresholds T1 and T2. (b) 3D intensity profile of image shown in (a).
    Chao Wang, Xuri Yao, Qing Zhao. Double-threshold technique for achieving denoising in compressive imaging applications[J]. Chinese Optics Letters, 2017, 15(12): 121101
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