Author Affiliations
College of Electrical Engineering, Anhui Polytechnic University, Wuhu, Anhui 241000, Chinashow less
Fig. 1. Corrosion operation. (a) Target image; (b) corroded image
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]
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]
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]
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
Parameter | Proposedmethod | CDDalgorithm | Algorithmin Ref. [7] | Algorithmin Ref. [10] | Algorithmin Ref. [11] | Algorithmin Ref. [16] |
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m | 200 | 500 | 500 | 500 | 500 | 500 | t /s | 19.8906 | 33.5469 | 33.3438 | 33.9063 | 35.1875 | 33.8906 |
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Table 1. Iteration times and time for six kinds of inpainting algorithms (first simulation results)
Parameter | Proposedmethod | CDDalgorithm | Algorithmin Ref. [7] | Algorithmin Ref. [10] | Algorithmin Ref. [11] | Algorithmin Ref. [16] |
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m | 300 | 500 | 500 | 500 | 500 | 500 | t /s | 24.2500 | 34.9219 | 34.3594 | 34.6875 | 35.1094 | 34.8438 |
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Table 2. Iteration times and time for six kinds of inpainting algorithms(second simulation results)
Parameter | Proposedmethod | CDDalgorithm | Algorithmin Ref. [7] | Algorithmin Ref. [10] | Algorithmin Ref. [11] | Algorithmin Ref. [16] |
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m | 300 | 800 | 800 | 800 | 800 | 800 | t /s | 32.5625 | 62.0156 | 61.9063 | 68.8438 | 66.1094 | 63.2344 |
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Table 3. Iteration times and time for six kinds of inpainting algorithms (third simulation results)
Parameter | Fig. 2(b) | Fig. 3(b) | Fig. 4(b) |
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μ | 1.7 | 2.3 | 2.2 | 1.7 | 2.3 | 2.2 | 1.7 | 2.3 | 2.2 | τ | 2.1 | 1.9 | 2.2 | 2.1 | 1.9 | 2.2 | 2.1 | 1.9 | 2.2 | m | 200 | 200 | 200 | 300 | 300 | 300 | 300 | 300 | 300 | t /s | 20.1250 | 25.2031 | 25.1094 | 25.0625 | 29.9375 | 30.0313 | 33.0938 | 47.4688 | 53.0156 |
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Table 4. Iteration times and time of the proposed algorithm under other parameters