Correction of erroneous degree of polarization of moving objects in a video sequence

The polarimeter we developed is composed of a single commercial CCD camera with a bistable ferroelectric liquid crystal modulator as a polarizing element; therefore the degree of polarization (DOP) is evaluated from two successive acquisitions. Thus, when an object moves during the acquisition, issues occur in the polarization information reconstructed from the two state pictures: edges of objects have neither the same DOP as the object itself nor the same DOP as the background. In this paper, we present two methods to correct defects in DOP images of moving objects. First, we present a post-processing temporal median filtering, correcting the DOP once computed. The second method consists in performing a motion estimation to correct the object's displacement between the two polarization state pictures. Comparison based on quantitative results with real data is provided.