Abstract
We compare conventional intensity imaging against different modes of polarimetric imaging by evaluating the image contrast of images taken in a controlled foggy environment. A small-scale fog chamber has been designed and constructed to create the necessary controlled foggy environment. A division-of-focal-plane camera of linear polarization and a linearly polarized light source has been used for performing the experiments with polarized light. In order to evaluate the image contrast of the different imaging modes, the Michelson contrast of samples of different materials relative to their background has been calculated. The higher the image contrast, the easier it is to detect and segment the targets of interest that are surrounded by fog. It has been quantitatively demonstrated that polarimetric images present an improvement in contrast compared to conventional intensity images in the situations studied.
Highlights
Table for the four materials conbackground of the different image modes described in Table 4 for the four materials sidered: (a) paper, (b) expanded polystyrene (EPS), metal, (d)and wood, at 45 different transmitconsidered: (a) paper, (b)(c)
The Michelson contrast has been used to evaluate the contrast of images of different materials taken within a foggy medium using polarimetric imaging modes and conventional intensity imaging
This study proves the usefulness of polarimetric imaging in turbid media, as it provides an interesting alternative to intensity images
Summary
The division of focal plane polarimetric cameras based on micro-polarizer arrays allow easy retrieval of images of the Stokes parameters [24]. In one shot, four images of the same scene corresponding to each of the polarization filters are obtained as raw images. With these data, the conventional intensity image can be calculated by adding two images with orthogonal polarizations. It is possible to calculate the images corresponding to the linear Stokes parameters (S1 and S2 ), and other images based on usual parameters in polarimetry [17].
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