Liyong REN, Jian LIANG, Enshi QU, Wenfei ZHANG, Bojun DU, Feiya MA, Shaoben GUO, Jin ZHANG. Polarimetric Optical Imaging：Devices，Technologies and Applications（Invited）[J]. Acta Photonica Sinica, 2022, 51(8): 0851505
- Acta Photonica Sinica
- Vol. 51, Issue 8, 0851505 (2022)
Fig. 1. Division-of-aperture chromatic polarimetric camera with full-polarization-state simultaneous detection［12］
Fig. 2. Optical-path simulation diagram of optical system of polarimetric camera［50］
Fig. 3. Schematic diagram of three-dimensional structure of light separation and transmission system
Fig. 4. Developed division-of-aperture polarimetric lens with full-polarization-state simultaneous detection
Fig. 5. A frame of raw image from division-of-aperture polarimetric camera
Fig. 6. Registered results of polarized images
Fig. 7. DoP image and AoP image calculated from polarized images before and after registration
Fig. 8. Structure diagram of polarization-color filter
Fig. 9. Schematic of optical path of division-of-aperture simultaneous polarimetric optical imaging based on color-polarizer filter
Fig. 10. Comparison of spatial resolution［14］
Fig. 11. Multiangle linear polarizer
Fig. 12. Comparison between DoP images
Fig. 13. Comparison between AoP images
Fig. 14. Schematic of physical degradation model in scattering environment［75］
Fig. 15. Polarimetric dehazing imaging result without sky area［30］
Fig. 16. Polarimetric dehazed images in continuously changing sea fog environment
Fig. 17. Variation of entropy value in dehazed image with ε［32］
Fig. 18. Workflow chart of dehazing/descattering algorithm for fast polarimetric imaging in HSI color space［33］
Fig. 19. Polarimetric dehazed images based on HSI color space［33］
Fig. 20. A frame with different polarizations of the same scene taken by a polarimetric imaging system［12］
Fig. 21. Polarimetric dehazed image［12］
Fig. 22. Workflow chart of polarimetric dehazing/descattering algorithm based on low-pass filter denoising［35］
Fig. 23. Polarimetric dehazing results［35］
Fig. 24. Architecture of real-time polarimetric dehazing/descattering system
Fig. 25. Software interface of real-time polarimetric dehazing/descattering imaging
Fig. 26. A key frame of underwater descattering imaging scenes in video stream
Fig. 27. A key frame of outdoor descattering scenes in video stream
Fig. 28. Original low-resolution and reconstructed high-resolution SWIR polarized images of one-yuan coin［54］
Fig. 29. Polarization information images of one-yuan coin［54］
Fig. 30. High-resolution convolutional neural network architecture［97］
Fig. 31. Reconstruction results of NIR image［97］
Fig. 32. Polarization information images of the target［97］
Fig. 33. Experimental results of SWIR imaging of a plane model［97］
Fig. 34. High-resolution reconstruction of SWIR polarimetric images［97］
Fig. 35. Physical model schematic of polarization 3D reconstruction imaging
Fig. 36. Variations of DoP of diffuse reflection light with incident angle θ for materials with different refractive index
Fig. 37. Reconstructed 3D polarimetric imaging result of paper cup
Fig. 38. Intensity images for cylinder with different surface materials
Fig. 39. 3D reconstruction results for cylinder with different surface materials
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Table 1. SSIM of every two polarized images of scene shown in Fig. 5 and Fig. 6
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Table 2. NMI of every two polarized images of scene shown in Fig. 5 and Fig. 6
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Table 3. Calculation schedule for different dehazing/descattering methods［33］
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