基于腐蚀处理和多参数因子的CDD修复算法 
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CDD Inpainting Algorithm Based on Corrosion Treatment and Multi-Parameter Factors
安徽工程大学电气工程学院, 安徽 芜湖 241000
图 & 表
图 1. 腐蚀运算。(a)目标图像;(b)腐蚀后图像
Fig. 1. Corrosion operation. (a) Target image; (b) corroded image
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图 2. 仿真结果一。(a) Jump;(b)掩模图;(c)本文算法;(d)CDD算法;(e)文献[
7]算法;(f)文献[
10]算法;(g)文献[
11]算法;(h)文献[
16]算法
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]
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图 3. 仿真结果二。(a)原图;(b)掩模图;(c)本文算法;(d)CDD算法;(e)文献[
7]算法;(f)文献[
10]算法;(g)文献[
11]算法;(h)文献[
16]算法
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]
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图 4. 仿真结果三。(a)文字图;(b)掩模图;(c)本文算法;(d)CDD算法;(e)文献[
7]算法;(f)文献[
10]算法;(g)文献[
11]算法;(h)文献[
16]算法
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]
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图 5. 仿真结果四。(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
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表 16种图像修复算法的迭代次数和时间(仿真结果一)
Table1. 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] |
|---|
| 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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表 26种图像修复算法的迭代次数和时间(仿真结果二)
Table2. 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] |
|---|
| 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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表 36种图像修复算法的迭代次数和时间(仿真结果三)
Table3. Iteration times and time for six kinds of inpainting algorithms (third simulation results)
| Parameter | Proposedmethod | CDDalgorithm | Algorithmin Ref. [7] | Algorithmin Ref. [10] | Algorithmin Ref. [11] | Algorithmin Ref. [16] |
|---|
| 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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表 4本文算法在其他参数值下的迭代次数和时间
Table4. Iteration times and time of the proposed algorithm under other parameters
| Parameter | Fig. 2(b) | Fig. 3(b) | Fig. 4(b) |
|---|
| 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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杜闪闪, 韩超. 基于腐蚀处理和多参数因子的CDD修复算法[J]. 激光与光电子学进展, 2019, 56(16): 161011. 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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