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Cancellation of motion artifacts caused by a division-of-time polarimeter

机译：时分偏振计消除运动伪影

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摘要

For any kind of imaging polarimeter, at least four intensity images, named polarization state images, are needed to compute one full Stokes vector. When the polarimeter is designed according to the division-of-time principle, polarization state images are acquired sequentially. Consequently, the main issue is the systematic occurrence of artifacts as the scene is not static. Even though this is well known, little research has been done on this subject. Here a two-step motion-compensation-based method is proposed to fix it. The first step consists in estimating the motion between each image acquired according to the same polarization state. Then each image is warped according to a fraction of the previously estimated motion. Due to their dense and accurately estimated motion field we have shown optical-flow techniques to be the most efficient for motion-estimation in this case. Compensating the motion using optical flow to estimate it actually leads to a strong correlation criterion between corrected and reference polarization images. Our method allows the estimation of the polarization by post-processing the polarization state image sequence. It leads to a good estimation quality whether the scene is static or not, thus fixing the main issue of a division-of-time polarimeter.
机译：对于任何一种成像偏振计，至少需要四个强度图像（称为偏振状态图像）才能计算一个完整的斯托克斯矢量。根据时分原理设计偏振计时，将顺序获取偏振态图像。因此，主要问题是由于场景不是静态的，系统地出现了伪影。即使这是众所周知的，对此主题的研究很少。在此，提出了一种基于两步运动补偿的方法进行修复。第一步是估计根据相同偏振态获取的每个图像之间的运动。然后，根据先前估计的运动的一部分使每个图像变形。由于它们密集且精确地估计了运动场，因此我们证明了在这种情况下，光流技术对于运动估计而言是最有效的。使用光流补偿运动以估计运动，实际上会导致在校正后的偏振图像和参考偏振图像之间形成强相关标准。我们的方法允许通过对偏振态图像序列进行后处理来估计偏振。无论场景是静态的还是静态的，这都会带来良好的估计质量，从而解决了分时偏振计的主要问题。

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