Zeyu Gao, Xinyang Li, Hongwei Ye. Aberration correction for flow velocity measurements using deep convolutional neural networks[J]. Infrared and Laser Engineering, 2020, 49(10): 20200267
- Infrared and Laser Engineering
- Vol. 49, Issue 10, 20200267 (2020)
Fig. 1. Principle of particle image velocimetry
Fig. 2. Experiment setup
Fig. 3. Measurement result of Zernike wavefront (First 10 order Zernike coefficients amplitude spectrum of fluctuating air-water interface induced wavefront aberration)
Fig. 4. Sketch map of convolution neural network architecture
Fig. 5. Aberration correction of single frame PIV image. (a) Input wavefront aberration; (b) Original PIV image; (c) Distorted PIV image; (d) Corrected PIV image; (e) Restored PIV image by ALM
Fig. 6. PIV measurement results from (a) Ideal images; (b) Distorted images; (c) Corrected images
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Table 1. [in Chinese]
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Table 2. [in Chinese]
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