Abstract. A polarization filter array (PFA) camera is an imaging device capable of analyzing the polarization state of light in a snapshot manner. These cameras exhibit spatial variations, i.e., nonuniformity, in their response due to optical imperfections introduced during the nanofabrication process. Calibration is done by computational imaging algorithms to correct the data for radiometric and polarimetric errors. We reviewed existing calibration methods and applied them using a practical optical acquisition setup and a commercially available PFA camera. The goal of the evaluation is first to compare which algorithm performs better with regard to polarization error and then to investigate both the influence of the dynamic range and number of polarization angle stimuli of the training data. To our knowledge, this has not been done in previous work.

中文翻译：

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偏振滤光片阵列相机的校准算法：调查和评估

摘要。偏振滤光片阵列 (PFA) 相机是一种能够以快照方式分析光的偏振状态的成像设备。由于纳米制造过程中引入的光学缺陷，这些相机在其响应中表现出空间变化，即不均匀性。校准是通过计算成像算法完成的，以校正数据的辐射和极化误差。我们回顾了现有的校准方法，并使用实用的光学采集装置和市售的 PFA 相机来应用它们。评估的目标是首先比较哪种算法在偏振误差方面的表现更好，然后研究动态范围和训练数据的偏振角刺激数量的影响。据我们所知，