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Laser & Optoelectronics Progress, Volume. 56, Issue 2, 021005(2019)

Criminisi Image Inpainting Algorithm Based on Rough Data-Deduction

Ning Zhou* and Zhaozhao Zhu
Author Affiliations
  • School of Electronics and Information Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (9)
    Equations (0)
    References (20)
    Cited By (6)
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    Figures & Tables(9)
    Schematic of improved matching block search

    Fig. 1. Schematic of improved matching block search

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    Schematic of rough data-deduction of image

    Fig. 2. Schematic of rough data-deduction of image

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    Flow chart of improved Criminisi algorithm

    Fig. 3. Flow chart of improved Criminisi algorithm

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    Rectangular inpainting effects. (a) Original image; (b) damaged image; (c) repair result by Criminsi algorithm; (d) idea repair result by rough data-deduction

    Fig. 4. Rectangular inpainting effects. (a) Original image; (b) damaged image; (c) repair result by Criminsi algorithm; (d) idea repair result by rough data-deduction

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    Inpainting effects of image removal. (a) Original image; (b) damaged image; (c) repair result by Criminsi algorithm; (d) idea repair result by rough data-deduction

    Fig. 5. Inpainting effects of image removal. (a) Original image; (b) damaged image; (c) repair result by Criminsi algorithm; (d) idea repair result by rough data-deduction

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    Inpainting effects of color image. (a) Original image; (b) damaged image; (c) repair result by Criminsi algorithm; (d) idea repair result by rough data-deduction

    Fig. 6. Inpainting effects of color image. (a) Original image; (b) damaged image; (c) repair result by Criminsi algorithm; (d) idea repair result by rough data-deduction

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    Inpainting effects of animal removal. (a) Original image; (b) damaged image; (c) repair result by Criminsi algorithm; (d) idea repair result by rough data-deduction

    Fig. 7. Inpainting effects of animal removal. (a) Original image; (b) damaged image; (c) repair result by Criminsi algorithm; (d) idea repair result by rough data-deduction

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    Peak signal-to-noise ratio comparison after image inpainting

    Fig. 8. Peak signal-to-noise ratio comparison after image inpainting

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    • Table 1. Comparison of physical memory usage after image restoration

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      Table 1. Comparison of physical memory usage after image restoration

      Figure numberPhysical memory occupied byCriminisi algorithm /MbPhysical memory occupiedby rough data-deduction/Mb
      Fig.4(b)68
      Fig.5(b)1019
      Fig.6(b)1017
      Fig.7(b)3133
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    Ning Zhou, Zhaozhao Zhu. Criminisi Image Inpainting Algorithm Based on Rough Data-Deduction[J]. Laser & Optoelectronics Progress, 2019, 56(2): 021005

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    Paper Information

    Category: Image Processing

    Received: Jul. 5, 2018

    Accepted: Aug. 3, 2018

    Published Online: Aug. 1, 2019

    The Author Email: Zhou Ning (zhouning@mail.lzjtu.cn)

    DOI:10.3788/LOP56.021005

    Topics

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