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Acta Optica Sinica, Volume. 37, Issue 9, 0911001(2017)

Application of Multi-Frame Iterative Blind Deconvolution Methodin Laser Reflective Tomography Imaging

Fang Lin1,2, Jincheng Wang1,2, Hua Zhang1,2, Wuhu Lei1,2, and Yihua Hu1,2、*
Author Affiliations
  • 1 State Key Laboratory of Pulsed Power Laser Technology, Electronic Engineering Institute, Hefei, Anhui 230037, China
  • 2 Anhui Province Key Laboratory of Electronic Restriction, Electronic Engineering Institute, Hefei, Anhui 230037, China
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    References (29)
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    Schematic of LRT

    Fig. 1. Schematic of LRT

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    Flow chart of IBWF algorithm

    Fig. 2. Flow chart of IBWF algorithm

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    Flow chart of multi-frame iterative blind deconvolution algorithm

    Fig. 3. Flow chart of multi-frame iterative blind deconvolution algorithm

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    Simulation experiment results of multi-frame iterative deconvolution algorithm. (a)(b) Square; (c)(d) double circle; (e)(f) five-pointed star

    Fig. 4. Simulation experiment results of multi-frame iterative deconvolution algorithm. (a)(b) Square; (c)(d) double circle; (e)(f) five-pointed star

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    Comprision of deconvolution results with differentsignal to noise ratio. (a)-(h) Signal to noise ratio of 1 dB, 6 dB, 11 dB, 16 dB, 21 dB, 26 dB, 31 dB, 36 dB, respectively

    Fig. 5. Comprision of deconvolution results with differentsignal to noise ratio. (a)-(h) Signal to noise ratio of 1 dB, 6 dB, 11 dB, 16 dB, 21 dB, 26 dB, 31 dB, 36 dB, respectively

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    Variation of reconstructed image error metric with signal to noise ratio

    Fig. 6. Variation of reconstructed image error metric with signal to noise ratio

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    Pulse resolution of multi-frame iterative deconvolution algorithm. (a) Before deconvolution; (b) after NCWF; (c) after IBWF

    Fig. 7. Pulse resolution of multi-frame iterative deconvolution algorithm. (a) Before deconvolution; (b) after NCWF; (c) after IBWF

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    Variation of contrast with number of IBWF iterations

    Fig. 8. Variation of contrast with number of IBWF iterations

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    Schematic of LRT experimental system

    Fig. 9. Schematic of LRT experimental system

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    Schematic of deconvolution effect. (a) Original reconstructed image; (b) after threshold processing; (c) after deconvolution

    Fig. 10. Schematic of deconvolution effect. (a) Original reconstructed image; (b) after threshold processing; (c) after deconvolution

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    Fang Lin, Jincheng Wang, Hua Zhang, Wuhu Lei, Yihua Hu. Application of Multi-Frame Iterative Blind Deconvolution Methodin Laser Reflective Tomography Imaging[J]. Acta Optica Sinica, 2017, 37(9): 0911001

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    Paper Information

    Category: Imaging Systems

    Received: Apr. 6, 2017

    Accepted: --

    Published Online: Sep. 7, 2018

    The Author Email: Yihua Hu (skl_hyh@163.com)

    DOI:10.3788/AOS201737.0911001

    Topics

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