AI Article Synopsis
- Division of focal plane (DoFP) polarization sensors enable quick linear polarimetric imaging but can suffer from estimation errors due to rapid changes in the scene.
- The study finds that fluctuations in intensity are the primary factor causing these errors, overshadowing variations in the actual polarization states.
- By addressing intensity variations within a designated superpixel, the performance of these sensors can match that of advanced demosaicing techniques.
Article Abstract
Division of focal plane (DoFP) polarization sensors can perform linear polarimetric imaging in one shot. However, since they use several neighboring pixels to estimate the polarization state, fast spatial variations of the scene may lead to estimation errors. We investigate the influence of the spatial variations of the three polarimetric parameters of interest (intensity, degree of linear polarization, and angle of polarization) on these errors. Using theoretical derivations and imaging experiments, we demonstrate that the spatial variations of intensity are the main source of estimation errors, much more than variations in the polarization state. Building on this analysis, we show that compensating the intensity variations within a superpixel is sufficient to reach the estimation performance of state-of-the-art demosaicing methods.
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| http://dx.doi.org/10.1364/AO.467619 | DOI Listing |
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