Ahmed Ashfaq, Zhao Xiaojin, Gruev Viktor, Zhang Junchao, Bermak Amine
Opt Express. 2017 May 1;25(9):10651-10662. doi: 10.1364/OE.25.010651.
Division of focal plane (DoFP) polarization image sensors capture polarization properties of light at every imaging frame. However, these imaging sensors capture only partial polarization information, resulting in reduced spatial resolution output and a varying instantaneous field of overview (IFoV). Interpolation methods are used to reduce the drawbacks and recover the missing polarization information. In this paper, we propose residual interpolation as an alternative to normal interpolation for division of focal plane polarization image sensors, where the residual is the difference between an observed and a tentatively estimated pixel value. Our results validate that our proposed algorithm using residual interpolation can give state-of-the-art performance over several previously published interpolation methods, namely bilinear, bicubic, spline and gradient-based interpolation. Visual image evaluation as well as mean square error analysis is applied to test images. For an outdoor polarized image of a car, residual interpolation has less mean square error and better visual evaluation results.
焦平面分割（DoFP）偏振图像传感器在每个成像帧中捕获光的偏振特性。然而，这些成像传感器仅捕获部分偏振信息，导致空间分辨率输出降低以及瞬时视场（IFoV）变化。插值方法用于减少这些缺点并恢复缺失的偏振信息。在本文中，我们提出将残差插值作为焦平面分割偏振图像传感器普通插值的替代方法，其中残差是观测像素值与初步估计像素值之间的差值。我们的结果验证了，我们提出的使用残差插值的算法在性能上优于几种先前发表的插值方法，即双线性、双立方、样条和基于梯度的插值。将视觉图像评估以及均方误差分析应用于测试图像。对于一张汽车的户外偏振图像，残差插值具有更小的均方误差和更好的视觉评估结果。
