• Laser & Optoelectronics Progress
  • Vol. 57, Issue 16, 160001 (2020)
Cheng Guo, Yong Geng, Yulan Zhai, Qin Zuo, Xiu Wen, and Zhengjun Liu*
Author Affiliations
  • School of Instrumentation Science and Engineering, Harbin Institute of Technology, Harbin, Heilongjiang 150001, China
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    DOI: 10.3788/LOP57.160001 Cite this Article Set citation alerts
    Cheng Guo, Yong Geng, Yulan Zhai, Qin Zuo, Xiu Wen, Zhengjun Liu. Research Progress on Parameter-Changed Computational Imaging Techniques[J]. Laser & Optoelectronics Progress, 2020, 57(16): 160001 Copy Citation Text show less
    Experimental configuration of multi-distance imaging
    Fig. 1. Experimental configuration of multi-distance imaging
    Reconstructed results via dual-plane measurement[31]
    Fig. 2. Reconstructed results via dual-plane measurement[31]
    Reconstructed results via pixel super-resolution[37]
    Fig. 3. Reconstructed results via pixel super-resolution[37]
    Imaging result comparison for lens-free on-chip microscope and wide-field microscope[37]
    Fig. 4. Imaging result comparison for lens-free on-chip microscope and wide-field microscope[37]
    Schematic of PIE experimental system
    Fig. 5. Schematic of PIE experimental system
    Iterative recovery procedure of FPM[3]
    Fig. 6. Iterative recovery procedure of FPM[3]
    Gigapixel colour imaging via FPM[3]
    Fig. 7. Gigapixel colour imaging via FPM[3]
    Lens-free imaging platform based on translated speckle illumination and sub-pixel ptychographic phase retrieval[46]
    Fig. 8. Lens-free imaging platform based on translated speckle illumination and sub-pixel ptychographic phase retrieval[46]
    Imaging system using multi-rotation of cylinder lens[17]
    Fig. 9. Imaging system using multi-rotation of cylinder lens[17]
    Radon transformation of intensity pattern[18]
    Fig. 10. Radon transformation of intensity pattern[18]
    Normalized reconstruction sample. (a1)-(d1) Directly reconstructed results; (a2)-(d2) results with BM3D filter[18]
    Fig. 11. Normalized reconstruction sample. (a1)-(d1) Directly reconstructed results; (a2)-(d2) results with BM3D filter[18]
    Overlapping of diffraction intensity and reconstructed results before and after translation correction. (a1) (a2) Overlapping of diffraction intensity; (b1)(b2)(c1)(c2) reconstructed samples[18]
    Fig. 12. Overlapping of diffraction intensity and reconstructed results before and after translation correction. (a1) (a2) Overlapping of diffraction intensity; (b1)(b2)(c1)(c2) reconstructed samples[18]
    Simulation results of shot noise. (a) Object image; (b) shot noise versus photon number; (c) ideal diffraction pattern; (d) noisy diffraction image[51]
    Fig. 13. Simulation results of shot noise. (a) Object image; (b) shot noise versus photon number; (c) ideal diffraction pattern; (d) noisy diffraction image[51]
    Reconstruction results of algorithms when noise occurs. (a)(b) Numerical simulation; (c)-(f) experimental results and their magnification
    Fig. 14. Reconstruction results of algorithms when noise occurs. (a)(b) Numerical simulation; (c)-(f) experimental results and their magnification
    Cheng Guo, Yong Geng, Yulan Zhai, Qin Zuo, Xiu Wen, Zhengjun Liu. Research Progress on Parameter-Changed Computational Imaging Techniques[J]. Laser & Optoelectronics Progress, 2020, 57(16): 160001
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