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Linear Polarization Demosaicking for Monochrome and Colour Polarization Focal Plane Arrays
Computer Graphics Forum ( IF 2.7 ) Pub Date : 2021-03-02 , DOI: 10.1111/cgf.14204
Simeng Qiu 1 , Qiang Fu 1 , Congli Wang 1 , Wolfgang Heidrich 1
Affiliation  

Division-of-focal-plane (DoFP) polarization image sensors allow for snapshot imaging of linear polarization effects with inexpensive and straightforward setups. However, conventional interpolation based image reconstruction methods for such sensors produce unreliable and noisy estimates of quantities such as Degree of Linear Polarization (DoLP) or Angle of Linear Polarization (AoLP). In this paper, we propose a polarization demosaicking algorithm by inverting the polarization image formation model for both monochrome and colour DoFP cameras. Compared to previous interpolation methods, our approach can significantly reduce noise induced artefacts and drastically increase the accuracy in estimating polarization states. We evaluate and demonstrate the performance of the methods on a new high-resolution colour polarization dataset. Simulation and experimental results show that the proposed reconstruction and analysis tools offer an effective solution to polarization imaging.

中文翻译:

单色和彩色偏振焦平面阵列的线性偏振去马赛克

焦平面分割 (DoFP) 偏振图像传感器允许使用廉价且简单的设置对线性偏振效应进行快照成像。然而,用于此类传感器的传统基于插值的图像重建方法会产生不可靠且嘈杂的数量估计,例如线性偏振度 (DoLP) 或线性偏振角 (AoLP)。在本文中,我们通过反转黑白和彩色 DoFP 相机的偏振图像形成模型,提出了一种偏振去马赛克算法。与以前的插值方法相比,我们的方法可以显着减少噪声引起的伪影,并大大提高估计偏振态的准确性。我们在新的高分辨率彩色偏振数据集上评估并展示了这些方法的性能。
更新日期:2021-03-02
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