Photonics Research, Volume. 11, Issue 6, 1038(2023)
Physical origin and boundary of scalable imaging through scattering media: a deep learning-based exploration Editors' Pick
Fig. 1. Schematic of the experimental setup of imaging through a diffuser with the coordinate system labeled. The insets (a) and (b) show the settings of imaging regions to acquire the training and test data in Tests I and II, respectively. In Test I, the training data were obtained from region
Fig. 2. Experimental results. (a) Image reconstruction through a homemade diffuser in Tests I and II. (b) Curves of the averaged PCC with error bar for 10 reconstructed images at each of the test regions 1–5. Note a nonuniform abscissa is adopted to better reflect the whole trend, given the nonuniform distributed displacements. (c) The CCC curve measured in experiment with a FWHM of
Fig. 3. Results of Simulation I where no ballistic light is involved. (a) The phase map of the simulated diffuser in which the color bar denotes the range of phase value in radian. (b) The characterized CCC curve of the simulated diffuser, which has an FWHM of
Fig. 4. Results of Simulation II that involves different weights of ballistic light (
Fig. 5. Improved model generalization by increasing distance
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Xuyu Zhang, Shengfu Cheng, Jingjing Gao, Yu Gan, Chunyuan Song, Dawei Zhang, Songlin Zhuang, Shensheng Han, Puxiang Lai, Honglin Liu, "Physical origin and boundary of scalable imaging through scattering media: a deep learning-based exploration," Photonics Res. 11, 1038 (2023)
Category: Imaging Systems, Microscopy, and Displays
Received: Mar. 21, 2023
Accepted: Apr. 12, 2023
Published Online: May. 29, 2023
The Author Email: Honglin Liu (hlliu4@hotmail.com)