Advanced Photonics, Volume. 1, Issue 3, 036002(2019)
Learning-based lensless imaging through optically thick scattering media
Fig. 1. (a) Experimental setup for imaging through scattering media, SLM represents an amplitude-only SLM, P1 and P2 are linear polarizers and the slab is a 3-mm-thick white polystyrene. The images captured at the (b) front and (c) back surfaces of the scattering medium. (d) The side view and (e) the top view of the polystyrene.
Fig. 3. The reconstructed results. (a) The speckle patterns (
Fig. 4. Comparison of reconstruction performance. (a) The speckle patterns cropped from the raw scattered patterns. The images reconstructed by (b) the HNN, (c) a DNN, and (d) a CNN. (e) The ground-truth images.
Fig. 5. The positions of the three
Fig. 6. The images reconstructed by using the subspeckle pattern located at A1, A2, and A3.
Fig. 7. The images of handwritten digits and English letters reconstructed from the randomly selected pixels. (a) The subspeckle patterns formed by the randomly selected 3096 pixels from the
Fig. 8. The images of handwritten digits and English letters reconstructed from the subspeckle patterns of six different sizes.
Fig. 9. The result of the digits and English letters with different gray intervals. The images in the first row are the speckle images with different gray-level intervals, the second row shows the predicted objects by the HNN model, images in the third row are the ground-truth images. (G1) Images with gray value interval (25,000 to 30,000), (G2) images with gray value interval (35,000 to 40,000), (G3) images with gray value interval (40,000 to 45,000), and (G4) images with gray value threshold of 35,000.
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Meng Lyu, Hao Wang, Guowei Li, Shanshan Zheng, Guohai Situ, "Learning-based lensless imaging through optically thick scattering media," Adv. Photon. 1, 036002 (2019)
Category: Research Articles
Received: Nov. 26, 2018
Accepted: May. 16, 2019
Posted: May. 16, 2019
Published Online: Jun. 19, 2019
The Author Email: Situ Guohai (ghsitu@siom.ac.cn)