2018
DOI: 10.1364/oe.26.025047
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Polarimetric image recovery in turbid media employing circularly polarized light

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Cited by 66 publications
(40 citation statements)
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“…Observing elliptically and circularly polarized light has applications in surveillance 33 and metrology. It has been shown that circularly polarized light retains its polarization state as it travels through turbid media better than linear polarization states [34][35][36][37][38] . For remote imaging over long distances through smoke and haze, polarization imaging, without active illumination such as LIDAR 39 , may provide better signal-to-noise in comparison with conventional color or monochrome measurements.…”
Section: Discussionmentioning
confidence: 99%
“…Observing elliptically and circularly polarized light has applications in surveillance 33 and metrology. It has been shown that circularly polarized light retains its polarization state as it travels through turbid media better than linear polarization states [34][35][36][37][38] . For remote imaging over long distances through smoke and haze, polarization imaging, without active illumination such as LIDAR 39 , may provide better signal-to-noise in comparison with conventional color or monochrome measurements.…”
Section: Discussionmentioning
confidence: 99%
“…Schechner et al proposed a physical model and algorithm using polarized light defogging, which achieved good results and has been successfully applied to underwater polarization restoration [12][13][14][15][16]. Later, this method has been modified and improved by some other researchers in different scenarios [17][18][19][20][21]. Hu et al improved this model and polarization information processing algorithm to effectively solve the following problems: (1) The restoration of objects with high degree of polarization (DoP) (low depolarization) in the scene cannot be realized [17,19]; (2) Restoration fails in high-concentration scattering environment [18]; (3) The restoration effect is poor in a non-uniform light field environment [20].…”
Section: Introductionmentioning
confidence: 99%
“…Later, this method has been modified and improved by some other researchers in different scenarios [17][18][19][20][21]. Hu et al improved this model and polarization information processing algorithm to effectively solve the following problems: (1) The restoration of objects with high degree of polarization (DoP) (low depolarization) in the scene cannot be realized [17,19]; (2) Restoration fails in high-concentration scattering environment [18]; (3) The restoration effect is poor in a non-uniform light field environment [20]. Based on the dependence of light scattering on wavelength and the optical correlation theory, Shao et al proposed a polarization imaging method through highly turbidity water [21].…”
Section: Introductionmentioning
confidence: 99%
“…Van der Laan J. D. et al simulated the transmission characteristics of CPL in a foggy environment for improving the detection range [8][9][10]. Hu H. et al used the memory effect of CPL to improve the quality of recovered polarized images [11]. Li X. et al proposed a pseudo-polarimetric dehazing method, which only required a single image captured by the detector [12].…”
Section: Introductionmentioning
confidence: 99%