• Chinese Optics Letters
  • Vol. 15, Issue 10, 101101 (2017)
Yao Zhao, Qian Chen, Guohua Gu, and Xiubao Sui*
Author Affiliations
  • Jiangsu Key Laboratory of Spectral Imaging and Intelligence Sense, Nanjing University of Science and Technology, Nanjing 210094, China
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    DOI: 10.3788/COL201715.101101 Cite this Article Set citation alerts
    Yao Zhao, Qian Chen, Guohua Gu, Xiubao Sui. Simple and effective method to improve the signal-to-noise ratio of compressive imaging[J]. Chinese Optics Letters, 2017, 15(10): 101101 Copy Citation Text show less
    Schematic of the setup.
    Fig. 1. Schematic of the setup.
    Reconstruction results of compressive imaging under a noise-free environment. (a) Original image with the spatial resolution of 96 × 96; (b) the reconstructed image by TVAL3 under a noise-free condition.
    Fig. 2. Reconstruction results of compressive imaging under a noise-free environment. (a) Original image with the spatial resolution of 96×96; (b) the reconstructed image by TVAL3 under a noise-free condition.
    Reconstruction results of the compressive imaging in different noise environments.
    Fig. 3. Reconstruction results of the compressive imaging in different noise environments.
    (a) Reconstructed image under 55 dBW Gaussian noise; reconstructed images by the proposed method with m=(b) 5, (c) 10, and (d) 15.
    Fig. 4. (a) Reconstructed image under 55 dBW Gaussian noise; reconstructed images by the proposed method with m=(b)5, (c) 10, and (d) 15.
    Relationship between PSNRs and m.
    Fig. 5. Relationship between PSNRs and m.
    (a) Reconstructed image under 65 dBW Gaussian noise; (b) reconstructed image by the proposed method with m=30 (65 dBW noise).
    Fig. 6. (a) Reconstructed image under 65 dBW Gaussian noise; (b) reconstructed image by the proposed method with m=30 (65 dBW noise).
    Number of m15101520
    PSNR (dB)14.00517.84119.79220.67621.612
    Table 1. Relationship between PSNRs and m
    Yao Zhao, Qian Chen, Guohua Gu, Xiubao Sui. Simple and effective method to improve the signal-to-noise ratio of compressive imaging[J]. Chinese Optics Letters, 2017, 15(10): 101101
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