Le Teurnier Benjamin, Boffety Matthieu, Goudail François
Appl Opt. 2022 Aug 20;61(24):7273-7282. doi: 10.1364/AO.467619.
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.
焦平面分割（DoFP）偏振传感器可以一次性进行线性偏振成像。然而，由于它们使用几个相邻像素来估计偏振状态，场景的快速空间变化可能会导致估计误差。我们研究了感兴趣的三个偏振参数（强度、线性偏振度和偏振角）的空间变化对这些误差的影响。通过理论推导和成像实验，我们证明强度的空间变化是估计误差的主要来源，远比偏振状态的变化大得多。基于这一分析，我们表明在一个超像素内补偿强度变化足以达到现有去马赛克方法的估计性能。
