Author Affiliations
1School of Physics and Optoelectronic Engineering, Xidian University, Xi''an, Shaanxi 710071, China2Xi''an Key Laboratory of Computational Imaging, Xi''an, Shaanxi 710071, China3Key Laboratory of Optical Engineering, Chinese Academic of Sciences, Chengdu, Sichuan 610209, Chinashow less
Fig. 1. Categories of underwater polarization imaging methods
Fig. 2. Detection principle of polarization difference imaging
Fig. 3. Comparison of original intensity image and recovered image
[42]. (a) Original intensity image; (b) recovered image
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
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
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
Fig. 7. Physical model of underwater passive polarization imaging
[40] Fig. 8. Comparison of recovered result of traditional underwater passive polarization imaging
[40] Fig. 9. Relationship between
K(
x,
y) and Δ
D(
x,
y)
[50] Fig. 10. Comparison between original intensity image and the recovered image by Huang's method
[50] Fig. 11. Schematic of transmittance correction
[51] Fig. 12. Comparison between original intensity images and the recovered images by different methods
[51] Fig. 13. Flowchart of passive underwater polarization imaging technology in neritic area
[52] 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
Fig. 15. Recovered image of passive underwater polarization imaging technology in neritic area in real scene
[53]. (a) Original intensity image; (b) recovered image
Fig. 16. Polynomial fitting of non-uniform scene area
[54]. (a) Intensity fitting of backscattered light; (b) degree of polarization fitting of backscattered light
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
Fig. 18. Physical model of underwater active polarization imaging
[41] 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
Fig. 20. Relationship between ESF, LSF, and PSF
[55] Fig. 21. Flowchart of removing forward scattered light in active underwater imaging
[55] 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
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
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
Fig. 25. Diagram of imaging correlation solution
[57] Fig. 26. Recovered results in water with gradually varied turbidity
[57]. (a1)--(f1) Using blue light illumination; (a2)--(f2) using Liu's method
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
Fig. 28. Original intensity images and recovered images by Guan's method in turbid water with gradually varied depth
[59] Fig. 29. Architecture of polarimetric dense network
[62] 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