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Acta Optica Sinica, Volume. 40, Issue 1, 0111028(2020)

Compressive Holographic Tomography of Color Diffuse Objects

Cheng Zhang1,2, Zuo Yang1, Xuelian Zhu3, Min Pan1, and Sui Wei1、*
Author Affiliations
  • 1Key Laboratory of Intelligent Computing & Signal Processing (Anhui University), Ministry of Education, Hefei, Anhui 230601, China;
  • 2Key Laboratory of Modern Imaging and Displaying Technology of Anhui Province, Hefei, Anhui 230601, China
  • 3Jiaxing Research and Development Center of SIMIT, Chinese Academy of Sciences, Jiaxing, Zhejiang 314050, China
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    Simulation results of monochromatic diffuse object tomography. (a) 3D object; (b) phase distributions of propagation kernels; (c) back propagation of single speckled realization; (d) back propagation averaged by 30 speckled realizations; (e) back propagation of 30 speckled realizations using Tikhonov regularization; (f) compressive reconstruction of 30 speckled realizations

    Fig. 1. Simulation results of monochromatic diffuse object tomography. (a) 3D object; (b) phase distributions of propagation kernels; (c) back propagation of single speckled realization; (d) back propagation averaged by 30 speckled realizations; (e) back propagation of 30 speckled realizations using Tikhonov regularization; (f) compressive reconstruction of 30 speckled realizations

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    Simulation results of color tomography of binary diffuse object. (a) 3D object; (b) phase distributions of propagation kernels; (c) back propagation of single speckled realization; (d) back propagation averaged by 30 speckled realizations; (e) back propagation of 30 speckled realizations using Tikhonov regularization; (f) compressive reconstruction of 30 speckled realizations

    Fig. 2. Simulation results of color tomography of binary diffuse object. (a) 3D object; (b) phase distributions of propagation kernels; (c) back propagation of single speckled realization; (d) back propagation averaged by 30 speckled realizations; (e) back propagation of 30 speckled realizations using Tikhonov regularization; (f) compressive reconstruction of 30 speckled realizations

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    Simulation results for color tomography of non-binary diffuse object. (a) 3D object; (b) phase distributions of propagation kernels; (c) back propagation of single speckled realization; (d) back propagation averaged by 30 speckled realizations; (e) back propagation of 30 speckled realizations using Tikhonov regularization; (f) compressive reconstruction of 30 speckled realizations

    Fig. 3. Simulation results for color tomography of non-binary diffuse object. (a) 3D object; (b) phase distributions of propagation kernels; (c) back propagation of single speckled realization; (d) back propagation averaged by 30 speckled realizations; (e) back propagation of 30 speckled realizations using Tikhonov regularization; (f) compressive reconstruction of 30 speckled realizations

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    • Table 1. Quantitative evaluation of image reconstruction performance of each layer of full-color diffuse objects

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      Table 1. Quantitative evaluation of image reconstruction performance of each layer of full-color diffuse objects

      Type of objectsNumber of measurements JMetric1st plane2nd plane3rd plane4th plane
      Binary object5SNR /dB10.5510.079.7610.03
      NC0.94480.93750.93570.9382
      10SNR /dB10.7510.2210.2110.21
      NC0.94880.94260.94560.9443
      50SNR /dB16.9117.0315.8717.03
      NC0.98340.98390.97970.9840
      Non-binary object5SNR /dB17.8815.6116.2015.28
      NC0.98600.97810.98120.9765
      10SNR /dB18.9116.7017.3316.09
      NC0.98870.98290.98530.9802
      50SNR /dB19.7917.5318.2316.79
      NC0.99060.98610.98810.9831

    • Table 2. Mean reconstruction time versus image size

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      Table 2. Mean reconstruction time versus image size

      Image size /(pixel×pixel)Mean reconstruction time /s
      Binary objectNon-binary object
      128×1281.491.60
      256×2568.8610.19
      512×51234.7741.70
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    Cheng Zhang, Zuo Yang, Xuelian Zhu, Min Pan, Sui Wei. Compressive Holographic Tomography of Color Diffuse Objects[J]. Acta Optica Sinica, 2020, 40(1): 0111028

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    Paper Information

    Category: Special Issue on Computational Optical Imaging

    Received: Sep. 3, 2019

    Accepted: Nov. 26, 2019

    Published Online: Jan. 6, 2020

    The Author Email: Wei Sui (swei@ahu.edu.cn)

    DOI:10.3788/AOS202040.0111028

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology