Motion Blurred Image Restoration Based on Complementary Sequence Pair Using Fluttering Shutter Imaging

Input：f₁，f₂，h₁，h₂，λ > 0
Output：g
Initial value：order h=h₁, g←f₁, i=1.
While “i ≤ 2”，do
While“Non-convergence”
1）Fixed g，solve y_i by minimization y；
2）Fixed y，solve g_i by minimization g；
End do;
1）i=i+1；
End do

Table 2. Minimum value and variance of combined MTF curve
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Table 2. Minimum value and variance of combined MTF curve
Method Random code pair Symmetric code pair Jeon's complementary code pair Proposed code pair
MIN -8.15 -4.4 3.52 4.04
VAR 6.83 8.03 6.45 3.72

Table 3. Objective evaluation of simulation restoration in different code modes

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Table 3. Objective evaluation of simulation restoration in different code modes

Method	TraditionalS code	Random code pair	Symmetric code pair	Jeon's complementary code pair	Proposed code pair
SSIM	0.819 7	0.850 8	0.866 1	0.853 3	0.896 7
SNR	26.276 7	27.631 2	27.961 2	26.551 3	28.640 8
Time/s	0.52	1.2		21.9	1.2

Table 4. Objective evaluation of target image restoration under different code modes
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Table 4. Objective evaluation of target image restoration under different code modes
Method Traditional code Random code pair Symmetric code pair Proposed code pair
SSIM 0.723 6 0.760 8 0.825 4 0.896 3
SNR 19.754 3 20.283 1 17.197 7 22.490 5

Table 5. Objective evaluation of signboard image restoration under different code modes
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Table 5. Objective evaluation of signboard image restoration under different code modes
Method Traditional code Random code pair Symmetric code pair Proposed code pair
SSIM 0.860 8 0.883 7 0.899 2 0.920 6
SNR 19.824 1 21.684 1 15.224 5 22.229 2

Table 6. Improvement value of evaluation index of restoration results in Fig. 12
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Table 6. Improvement value of evaluation index of restoration results in Fig. 12
Evaluation method Blurred image The results of this method Improve index rate
SSIM 0.787 9 0.943 9 19.8%
SNR 19.936 1 26.895 7 34.9%

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Xiao-jie YE, Guang-mang CUI, Ju-feng ZHAO, Li-yao ZHU. Motion Blurred Image Restoration Based on Complementary Sequence Pair Using Fluttering Shutter Imaging[J]. Acta Photonica Sinica, 2020, 49(8): 0810001

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Paper Information

Category: Image Processing

Received: Apr. 29, 2020

Accepted: Jun. 1, 2020

Published Online: Nov. 27, 2020

The Author Email:

DOI:10.3788/gzxb20204908.0810001

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology

Table 1. Recovery algorithm flow

Table 1. Recovery algorithm flow

Table 2. Minimum value and variance of combined MTF curve

Table 2. Minimum value and variance of combined MTF curve

Table 3. Objective evaluation of simulation restoration in different code modes

Table 3. Objective evaluation of simulation restoration in different code modes

Table 4. Objective evaluation of target image restoration under different code modes

Table 4. Objective evaluation of target image restoration under different code modes

Table 5. Objective evaluation of signboard image restoration under different code modes

Table 5. Objective evaluation of signboard image restoration under different code modes

Table 6. Improvement value of evaluation index of restoration results in Fig. 12

Table 6. Improvement value of evaluation index of restoration results in Fig. 12