Carnicer Artur, Bosch Salvador, Javidi Bahram
Opt Express. 2019 Apr 15;27(8):11525-11536. doi: 10.1364/OE.27.011525.
In this paper, we introduce the Mueller matrix imaging concepts for 3D Integral Imaging Polarimetry. The Mueller matrix of a complex scene is measured and estimated with 3D integral imaging. This information can be used to analyze the complex polarimetric behavior of any 3D scene. In particular, we show that the degree of polarization can be estimated at any selected plane for any arbitrary synthetic illumination source which may be difficult to produce in practice. This tool might open new perspectives for polarimetric analysis in the 3D domain. Also, we illustrate that 2D polarimetric images are noisier than 3D reconstructed polarimetric integral imaging. To the best of our knowledge, this is the first report on Mueller matrix polarimetry in 3D Integral Imaging.
在本文中，我们介绍了用于三维积分成像偏振测量的穆勒矩阵成像概念。利用三维积分成像测量和估计复杂场景的穆勒矩阵。该信息可用于分析任何三维场景的复杂偏振行为。特别是，我们表明，对于任何在实际中可能难以产生的任意合成照明源，都可以在任何选定平面上估计偏振度。该工具可能为三维领域的偏振分析开辟新的前景。此外，我们还说明了二维偏振图像比三维重建的偏振积分成像噪声更大。据我们所知，这是关于三维积分成像中穆勒矩阵偏振测量的首次报道。
