Effect of Deconvolution Algorithm on Quality of Imaging Through Scattering Layers

Ming She

doi:10.3788/LOP57.221104

Laser & Optoelectronics Progress, Volume. 57, Issue 22, 221104(2020)

Effect of Deconvolution Algorithm on Quality of Imaging Through Scattering Layers

Ming She^*

Author Affiliations

Party and Government Offices, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 210016, China

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Figures & Tables(10)

Fig. 1. Principle diagram of deconvolution-based imaging through scattering layers

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Fig. 2. Speckles detected by system. (a) Speckle I detected when object is number "5"; (b) speckle PSF detected when object is replaced by pinhole

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Fig. 3. Image reconstruction results by cross-correlation deconvolution algorithm

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Fig. 4. Image reconstruction results by Wiener filtering algorithm

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Fig. 5. Image reconstruction results by regularized deconvolution algorithm

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Fig. 6. Image reconstruction results by Lucy-Richardson algorithm

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Table 1. Quality evaluation indexes of images reconstructed by cross-correlation deconvolution algorithm
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Table 1. Quality evaluation indexes of images reconstructed by cross-correlation deconvolution algorithm
N e MSE PSNR /dB SSIM
1 4.1347 0.0023 26.3277 0.0833
2 4.3687 0.0033 24.7762 0.0624
3 4.7376 0.0071 21.4597 0.0359
5 5.3122 0.0205 16.8862 0.021
10 6.0096 0.0629 12.0133 0.0122

Table 2. Quality evaluation indexes of images reconstructed by Wiener filtering algorithm
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Table 2. Quality evaluation indexes of images reconstructed by Wiener filtering algorithm
N e MSE PSNR /dB SSIM
1 6.1395 0.1016 9.9303 0.0123
2 6.4261 0.1568 8.0459 0.0105
3 6.5963 0.2102 6.7743 0.0083
5 6.7679 0.2614 5.8264 0.0054
10 6.7586 0.2524 5.9783 0.0024

Table 3. Quality evaluation indexes of images reconstructed by regularized deconvolution algorithm
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Table 3. Quality evaluation indexes of images reconstructed by regularized deconvolution algorithm
N e MSE PSNR /dB SSIM
1 6.1395 0.1016 9.9303 0.0123
2 6.4261 0.1568 8.046 0.0105
3 6.5963 0.2102 6.7741 0.0083
5 6.7679 0.2614 5.8262 0.0054
10 6.7586 0.2525 .9782 0.0024

Table 4. Quality evaluation indexes of images reconstructed by Lucy-Richardson algorithm
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Table 4. Quality evaluation indexes of images reconstructed by Lucy-Richardson algorithm
N e MSE PSNR /dB SSIM
1 6.1235 0.1115 9.5262 0.0019
2 5.6775 0.0723 11.406 0.0025
3 5.7138 0.0658 11.8174 0.0026
5 5.7838 0.0718 11.4362 0.0023
10 5.8628 0.0773 11.1175 0.002

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Ming She. Effect of Deconvolution Algorithm on Quality of Imaging Through Scattering Layers[J]. Laser & Optoelectronics Progress, 2020, 57(22): 221104

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Paper Information

Category: Imaging Systems

Received: Mar. 3, 2020

Accepted: Apr. 17, 2020

Published Online: Oct. 24, 2020

The Author Email: Ming She (sheming@nuaa.edu.cn)

DOI:10.3788/LOP57.221104

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology

Table 1. Quality evaluation indexes of images reconstructed by cross-correlation deconvolution algorithm

Table 1. Quality evaluation indexes of images reconstructed by cross-correlation deconvolution algorithm

Table 2. Quality evaluation indexes of images reconstructed by Wiener filtering algorithm

Table 2. Quality evaluation indexes of images reconstructed by Wiener filtering algorithm

Table 3. Quality evaluation indexes of images reconstructed by regularized deconvolution algorithm

Table 3. Quality evaluation indexes of images reconstructed by regularized deconvolution algorithm

Table 4. Quality evaluation indexes of images reconstructed by Lucy-Richardson algorithm

Table 4. Quality evaluation indexes of images reconstructed by Lucy-Richardson algorithm