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通过傅里叶域中的改进模型设计的新型对角微偏振器阵列。

New diagonal micropolarizer arrays designed by an improved model in fourier domain.

作者信息

Hao Jia, Wang Yan, Zhou Kui, Yu Xiaochang, Yu Yiting

机构信息

Research & Development Institute of Northwestern Polytechnical University in Shenzhen, Shenzhen, 518057, China.

Key Laboratory of Micro/Nano Systems for Aerospace (Ministry of Education), Northwestern Polytechnical University, Xi'an, 710072, China.

出版信息

Sci Rep. 2021 Mar 11;11(1):5778. doi: 10.1038/s41598-021-85103-x.

DOI:10.1038/s41598-021-85103-x
PMID:33707540
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7952688/
Abstract

The design of micropolarizer array (MPA) patterns in Fourier domain provides an efficient approach to reconstruct and investigate the polarization information. Inspired by Alenin's works, in this paper, we propose an improved design model to cover both 2 × N MPAs and other original MPAs, by which an entirely new class of MPA patterns is suggested. The performance of the new patterns is evaluated through Fourier domain analysis and numerical simulations compared with the existing MPAs. Particularly, we analyze the reconstruction accuracy of the first three Stokes parameters and degree of linear polarization (DoLP) in detail. The experimental results confirm that the 2 × 2 × 2 MPA provides the highest reconstruction quality of s, s, s and DoLP in terms of quantitative measures and visual quality, while the 3 × 3 diagonal MPA achieves the state-of-the-art best results in case of single-snapshot systems. The guidance of this extended model and new diagonal MPAs show its massive potential for the division of focal plane (DoFP) polarization imaging applications.

摘要

傅里叶域中微偏振器阵列(MPA)图案的设计为重建和研究偏振信息提供了一种有效方法。受阿列宁作品的启发,本文提出了一种改进的设计模型,以涵盖2×N MPA和其他原始MPA,由此提出了一类全新的MPA图案。通过傅里叶域分析和数值模拟,将新图案的性能与现有MPA进行了比较。特别地,我们详细分析了前三个斯托克斯参数和线性偏振度(DoLP)的重建精度。实验结果证实,从定量测量和视觉质量方面来看,2×2×2 MPA在s、s、s和DoLP的重建质量方面最高,而3×3对角MPA在单快照系统情况下取得了目前最优的结果。这种扩展模型和新对角MPA的指导作用显示了其在焦平面分割(DoFP)偏振成像应用中的巨大潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0cb/7952688/cc59fc7ab1f0/41598_2021_85103_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0cb/7952688/4e68e84637ed/41598_2021_85103_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0cb/7952688/53de3c43044f/41598_2021_85103_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0cb/7952688/bd9a1f204801/41598_2021_85103_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0cb/7952688/5a01275ec415/41598_2021_85103_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0cb/7952688/cc59fc7ab1f0/41598_2021_85103_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0cb/7952688/4e68e84637ed/41598_2021_85103_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0cb/7952688/53de3c43044f/41598_2021_85103_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0cb/7952688/bd9a1f204801/41598_2021_85103_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0cb/7952688/5a01275ec415/41598_2021_85103_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e0cb/7952688/cc59fc7ab1f0/41598_2021_85103_Fig5_HTML.jpg

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本文引用的文献

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Convolutional demosaicing network for joint chromatic and polarimetric imagery.用于联合色度和偏振图像的卷积去马赛克网络。
Opt Lett. 2019 Nov 15;44(22):5646-5649. doi: 10.1364/OL.44.005646.
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An end-to-end fully-convolutional neural network for division of focal plane sensors to reconstruct S, DoLP, and AoP.一种用于焦平面传感器划分以重建S、DoLP和AoP的端到端全卷积神经网络。
Opt Express. 2019 Mar 18;27(6):8566-8577. doi: 10.1364/OE.27.008566.
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Survey of Demosaicking Methods for Polarization Filter Array Images.用于偏振滤光片阵列图像的去马赛克方法综述。
Sensors (Basel). 2018 Oct 30;18(11):3688. doi: 10.3390/s18113688.
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Calibration method for division of focal plane polarimeters.焦平面偏振计分度的校准方法。
Appl Opt. 2018 Jun 20;57(18):4992-4996. doi: 10.1364/AO.57.004992.
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Sparse representation-based demosaicing method for microgrid polarimeter imagery.基于稀疏表示的微电网偏光图像去马赛克方法。
Opt Lett. 2018 Jul 15;43(14):3265-3268. doi: 10.1364/OL.43.003265.
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Optimal bandwidth micropolarizer arrays.最佳带宽微偏振器阵列
Opt Lett. 2017 Feb 1;42(3):458-461. doi: 10.1364/OL.42.000458.
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Image interpolation for division of focal plane polarimeters with intensity correlation.基于强度相关性的焦平面偏振计分割的图像插值
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