• Laser & Optoelectronics Progress
  • Vol. 56, Issue 16, 161011 (2019)
Shanshan Du and Chao Han*
Author Affiliations
  • College of Electrical Engineering, Anhui Polytechnic University, Wuhu, Anhui 241000, China
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    DOI: 10.3788/LOP56.161011 Cite this Article Set citation alerts
    Shanshan Du, Chao Han. CDD Inpainting Algorithm Based on Corrosion Treatment and Multi-Parameter Factors[J]. Laser & Optoelectronics Progress, 2019, 56(16): 161011 Copy Citation Text show less
    Corrosion operation. (a) Target image; (b) corroded image
    Fig. 1. Corrosion operation. (a) Target image; (b) corroded image
    First simulation results. (a) Jump; (b) mask image; (c) proposed method; (d) CDD algorithm; (e) algorithm in Ref. [7]; (f) algorithm in Ref. [10]; (g) algorithm in Ref. [11]; (h) algorithm in Ref. [16]
    Fig. 2. First simulation results. (a) Jump; (b) mask image; (c) proposed method; (d) CDD algorithm; (e) algorithm in Ref. [7]; (f) algorithm in Ref. [10]; (g) algorithm in Ref. [11]; (h) algorithm in Ref. [16]
    Second simulation results. (a) Original image; (b) mask image; (c) proposed method; (d) CDD algorithm; (e) algorithm in Ref. [7]; (f) algorithm in Ref. [10]; (g) algorithm in Ref. [11]; (h) algorithm in Ref. [16]
    Fig. 3. Second simulation results. (a) Original image; (b) mask image; (c) proposed method; (d) CDD algorithm; (e) algorithm in Ref. [7]; (f) algorithm in Ref. [10]; (g) algorithm in Ref. [11]; (h) algorithm in Ref. [16]
    Third simulation results. (a) Text image; (b) mask image; (c) proposed method; (d) CDD algorithm; (e) algorithm in Ref. [7]; (f) algorithm in Ref. [10]; (g) algorithm in Ref. [11]; (h) algorithm in Ref. [16]
    Fig. 4. Third simulation results. (a) Text image; (b) mask image; (c) proposed method; (d) CDD algorithm; (e) algorithm in Ref. [7]; (f) algorithm in Ref. [10]; (g) algorithm in Ref. [11]; (h) algorithm in Ref. [16]
    Fourth simulation results. (a) μ=1.7, τ=2.1; (b) μ=2.3, τ=1.9; (c) μ=2.2, τ=2.2; (d) μ=1.7, τ=2.1; (e) μ=2.3, τ=1.9; (f) μ=2.2, τ=2.2; (g) μ=1.7, τ=2.1; (h) μ=2.3, τ=1.9; (i) μ=2.2, τ=2.2
    Fig. 5. Fourth simulation results. (a) μ=1.7, τ=2.1; (b) μ=2.3, τ=1.9; (c) μ=2.2, τ=2.2; (d) μ=1.7, τ=2.1; (e) μ=2.3, τ=1.9; (f) μ=2.2, τ=2.2; (g) μ=1.7, τ=2.1; (h) μ=2.3, τ=1.9; (i) μ=2.2, τ=2.2
    ParameterProposedmethodCDDalgorithmAlgorithmin Ref. [7]Algorithmin Ref. [10]Algorithmin Ref. [11]Algorithmin Ref. [16]
    m200500500500500500
    t /s19.890633.546933.343833.906335.187533.8906
    Table 1. Iteration times and time for six kinds of inpainting algorithms (first simulation results)
    ParameterProposedmethodCDDalgorithmAlgorithmin Ref. [7]Algorithmin Ref. [10]Algorithmin Ref. [11]Algorithmin Ref. [16]
    m300500500500500500
    t /s24.250034.921934.359434.687535.109434.8438
    Table 2. Iteration times and time for six kinds of inpainting algorithms(second simulation results)
    ParameterProposedmethodCDDalgorithmAlgorithmin Ref. [7]Algorithmin Ref. [10]Algorithmin Ref. [11]Algorithmin Ref. [16]
    m300800800800800800
    t /s32.562562.015661.906368.843866.109463.2344
    Table 3. Iteration times and time for six kinds of inpainting algorithms (third simulation results)
    ParameterFig. 2(b)Fig. 3(b)Fig. 4(b)
    μ1.72.32.21.72.32.21.72.32.2
    τ2.11.92.22.11.92.22.11.92.2
    m200200200300300300300300300
    t /s20.125025.203125.109425.062529.937530.031333.093847.468853.0156
    Table 4. Iteration times and time of the proposed algorithm under other parameters
    Shanshan Du, Chao Han. CDD Inpainting Algorithm Based on Corrosion Treatment and Multi-Parameter Factors[J]. Laser & Optoelectronics Progress, 2019, 56(16): 161011
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