Ming She. Effect of Deconvolution Algorithm on Quality of Imaging Through Scattering Layers[J]. Laser & Optoelectronics Progress, 2020, 57(22): 221104
- Laser & Optoelectronics Progress
- Vol. 57, Issue 22, 221104 (2020)
Fig. 1. Principle diagram of deconvolution-based imaging through scattering layers
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
Fig. 3. Image reconstruction results by cross-correlation deconvolution algorithm
Fig. 4. Image reconstruction results by Wiener filtering algorithm
Fig. 5. Image reconstruction results by regularized deconvolution algorithm
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 2. Quality evaluation indexes of images reconstructed by Wiener filtering algorithm
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Table 3. Quality evaluation indexes of images reconstructed by regularized deconvolution algorithm
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Table 4. Quality evaluation indexes of images reconstructed by Lucy-Richardson algorithm
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