• Laser & Optoelectronics Progress
  • Vol. 58, Issue 6, 600001 (2021)
Liu Fei1、2, Sun Shaojie1、2, Han Pingli1、2、3, Yang Kui1、2, and Shao Xiaopeng1、2、*
Author Affiliations
  • 1School of Physics and Optoelectronic Engineering, Xidian University, Xi''an, Shaanxi 710071, China
  • 2Xi''an Key Laboratory of Computational Imaging, Xi''an, Shaanxi 710071, China
  • 3Key Laboratory of Optical Engineering, Chinese Academic of Sciences, Chengdu, Sichuan 610209, China
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    DOI: 10.3788/LOP202158.0600001 Cite this Article Set citation alerts
    Liu Fei, Sun Shaojie, Han Pingli, Yang Kui, Shao Xiaopeng. Development of Underwater Polarization Imaging Technology[J]. Laser & Optoelectronics Progress, 2021, 58(6): 600001 Copy Citation Text show less
    Categories of underwater polarization imaging methods
    Fig. 1. Categories of underwater polarization imaging methods
    Detection principle of polarization difference imaging
    Fig. 2. Detection principle of polarization difference imaging
    Comparison of original intensity image and recovered image[42]. (a) Original intensity image; (b) recovered image
    Fig. 3. Comparison of original intensity image and recovered image[42]. (a) Original intensity image; (b) recovered image
    Comparison of polarization-sum image's PSF and polarization-difference image's PSF[43]. (a) Polarization-sum image's PSF; (b) polarization-difference image's PSF
    Fig. 4. Comparison of polarization-sum image's PSF and polarization-difference image's PSF[43]. (a) Polarization-sum image's PSF; (b) polarization-difference image's PSF
    Comparison of original intensity image and computational polarization-difference image based on the Stokes vector[46]. (a) Intensity image; (b) polarization-difference image; (c) normalized intensity curves
    Fig. 5. Comparison of original intensity image and computational polarization-difference image based on the Stokes vector[46]. (a) Intensity image; (b) polarization-difference image; (c) normalized intensity curves
    Recovered results and evaluation curves[47]. (a) Curves of PCE, contrast, image sharpness, and image edge intensity; (b)--(d) recovered images of different image pairs
    Fig. 6. Recovered results and evaluation curves[47]. (a) Curves of PCE, contrast, image sharpness, and image edge intensity; (b)--(d) recovered images of different image pairs
    Physical model of underwater passive polarization imaging[40]
    Fig. 7. Physical model of underwater passive polarization imaging[40]
    Comparison of recovered result of traditional underwater passive polarization imaging[40]
    Fig. 8. Comparison of recovered result of traditional underwater passive polarization imaging[40]
    Relationship between K(x,y) and ΔD(x,y)[50]
    Fig. 9. Relationship between K(x,y) and ΔD(x,y)[50]
    Comparison between original intensity image and the recovered image by Huang's method[50]
    Fig. 10. Comparison between original intensity image and the recovered image by Huang's method[50]
    Schematic of transmittance correction[51]
    Fig. 11. Schematic of transmittance correction[51]
    Comparison between original intensity images and the recovered images by different methods[51]
    Fig. 12. Comparison between original intensity images and the recovered images by different methods[51]
    Flowchart of passive underwater polarization imaging technology in neritic area[52]
    Fig. 13. Flowchart of passive underwater polarization imaging technology in neritic area[52]
    Recovered images of passive underwater polarization imaging technology in neritic area[53]. (a1) Original intensity image; (b1)--(d1) intensity distribution in the R, G, B channels of original intensity image; (a2) reconstructed image; (b2)--(d2) intensity distribution in the R, G, B channels of reconstructed image; (a3) intensity image in clear water; (b3)--(d3) intensity distribution in the R, G, B channels of intensity image in clear water; (a
    Fig. 14. Recovered images of passive underwater polarization imaging technology in neritic area[53]. (a1) Original intensity image; (b1)--(d1) intensity distribution in the R, G, B channels of original intensity image; (a2) reconstructed image; (b2)--(d2) intensity distribution in the R, G, B channels of reconstructed image; (a3) intensity image in clear water; (b3)--(d3) intensity distribution in the R, G, B channels of intensity image in clear water; (a
    Recovered image of passive underwater polarization imaging technology in neritic area in real scene[53]. (a) Original intensity image; (b) recovered image
    Fig. 15. Recovered image of passive underwater polarization imaging technology in neritic area in real scene[53]. (a) Original intensity image; (b) recovered image
    Polynomial fitting of non-uniform scene area[54]. (a) Intensity fitting of backscattered light; (b) degree of polarization fitting of backscattered light
    Fig. 16. Polynomial fitting of non-uniform scene area[54]. (a) Intensity fitting of backscattered light; (b) degree of polarization fitting of backscattered light
    Comparison of image restoration in non-uniform scene. (a) Recovered image by Hu's method[54]; (b) recovered image by Schechner's method[40]; (c) original intensity image
    Fig. 17. Comparison of image restoration in non-uniform scene. (a) Recovered image by Hu's method[54]; (b) recovered image by Schechner's method[40]; (c) original intensity image
    Physical model of underwater active polarization imaging[41]
    Fig. 18. Physical model of underwater active polarization imaging[41]
    Recovered image of traditional underwater active polarization imaging[41]. (a) Original intensity image; (b) picture of target information light; (c) picture of backscattered light
    Fig. 19. Recovered image of traditional underwater active polarization imaging[41]. (a) Original intensity image; (b) picture of target information light; (c) picture of backscattered light
    Relationship between ESF, LSF, and PSF[55]
    Fig. 20. Relationship between ESF, LSF, and PSF[55]
    Flowchart of removing forward scattered light in active underwater imaging[55]
    Fig. 21. Flowchart of removing forward scattered light in active underwater imaging[55]
    Restoration of badminton target[55]. (a) Original intensity image; (b) detail enlarged view of intensity image; (c) recovered image; (d) detail enlarged view of recovered image
    Fig. 22. Restoration of badminton target[55]. (a) Original intensity image; (b) detail enlarged view of intensity image; (c) recovered image; (d) detail enlarged view of recovered image
    Comparison of Fourier spectra and intensity statistics values of intensity image and recovered image[55]. (a)(b) Original intensity image and its Fourier spectrum; (c)(d) recovered image and its Fourier spectrum; (e) intensity statistics value of the 240th row pixel of intensity image and recovered image
    Fig. 23. Comparison of Fourier spectra and intensity statistics values of intensity image and recovered image[55]. (a)(b) Original intensity image and its Fourier spectrum; (c)(d) recovered image and its Fourier spectrum; (e) intensity statistics value of the 240th row pixel of intensity image and recovered image
    Restoration results of different targets by multi-scale underwater polarization imaging[56]. The left part is original intensity image and the right part is the recovered image
    Fig. 24. Restoration results of different targets by multi-scale underwater polarization imaging[56]. The left part is original intensity image and the right part is the recovered image
    Diagram of imaging correlation solution[57]
    Fig. 25. Diagram of imaging correlation solution[57]
    Recovered results in water with gradually varied turbidity[57]. (a1)--(f1) Using blue light illumination; (a2)--(f2) using Liu's method
    Fig. 26. Recovered results in water with gradually varied turbidity[57]. (a1)--(f1) Using blue light illumination; (a2)--(f2) using Liu's method
    Comparison between original intensity images and the recovered images by Feng's method[58]. (a)(c)(e) Original intensity images; (b)(d)(f) recovered images
    Fig. 27. Comparison between original intensity images and the recovered images by Feng's method[58]. (a)(c)(e) Original intensity images; (b)(d)(f) recovered images
    Original intensity images and recovered images by Guan's method in turbid water with gradually varied depth[59]
    Fig. 28. Original intensity images and recovered images by Guan's method in turbid water with gradually varied depth[59]
    Architecture of polarimetric dense network[62]
    Fig. 29. Architecture of polarimetric dense network[62]
    Comparison between recovered images by Polarimetric-Net and Intensity-Net[62]. (a)--(c) Original intensity image, recovered image by Polarimetric-Net, recovered image by Intensity-Net; (d)--(f) enlarged frame of selection area
    Fig. 30. Comparison between recovered images by Polarimetric-Net and Intensity-Net[62]. (a)--(c) Original intensity image, recovered image by Polarimetric-Net, recovered image by Intensity-Net; (d)--(f) enlarged frame of selection area
    Liu Fei, Sun Shaojie, Han Pingli, Yang Kui, Shao Xiaopeng. Development of Underwater Polarization Imaging Technology[J]. Laser & Optoelectronics Progress, 2021, 58(6): 600001
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