• Acta Optica Sinica
  • Vol. 40, Issue 1, 0111028 (2020)
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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    DOI: 10.3788/AOS202040.0111028 Cite this Article Set citation alerts
    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 Copy Citation Text show less
    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
    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
    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
    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 1. Quantitative evaluation of image reconstruction performance of each layer of full-color diffuse objects
    Image size /(pixel×pixel)Mean reconstruction time /s
    Binary objectNon-binary object
    128×1281.491.60
    256×2568.8610.19
    512×51234.7741.70
    Table 2. Mean reconstruction time versus image size
    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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