Abstract
In this paper, we investigated depolarization performance of polarized light in fog scattering system using the indices of polarimetric purity (IPPs) based on the Monte Carlo (MC) algorithm. We compared and analyzed the performances of degree of polarization (DoP) and IPPs in mono-disperse and poly-disperse scattering systems. The depolarization performance of mono-disperse scattering system is dependent on incident infrared wavelength. For the poly-disperse scattering system, the depolarization performance is significantly dependent on the particle-size distributions and the proportion of small particles. These results demonstrate that the IPPs can describe the depolarization performances of disperse systems effectively. It is of great practical significance because it can transmit information in high fidelity better than the DoP.
Highlights
Fog is a common phenomenon in our life
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) 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]
In this paper, we numerically investigated the evolution of depolarization performance of polarized light in fogscattering system by using Monte Carlo (MC) algorithm
Summary
Fog is a common phenomenon in our life. In foggy environments, light will be significantly scattered and absorbed by water droplets, and the light intensity information will be attenuated seriously, affecting the transmission efficiency of information [1]. 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]–[16] Later, this method has been modified and improved by some other researchers in different scenarios [17]–[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]. We have numerically studied the depolarization performances of mono- and poly-disperse scattering systems in the infrared band by using the IPPs, and compared the results with traditional method based on the DoP. The degrees of linear polarization (DoLP) and degrees of circular polarization (DoCP) can be expressed by the following formulas
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