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用于提高偏振图像对比度的像素型微偏振器阵列的逆向设计

Reverse Design of Pixel-Type Micro-Polarizer Arrays to Improve Polarization Image Contrast.

作者信息

Shi Yonggui, Lin Zhihai, Wang Tianran, Huang Chaokai, Chen Hui, Chen Jianxiong, Xie Yu

机构信息

School of Intelligent Manufacturing, Xiamen City University, Xiamen 361008, China.

School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China.

出版信息

Micromachines (Basel). 2024 Oct 12;15(10):1251. doi: 10.3390/mi15101251.

DOI:10.3390/mi15101251
PMID:39459125
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11509371/
Abstract

Micro-polarizer array (MPA) is the core optical component of the Division of Focal-Plane (DoFP) imaging system, and its design is very important to the system's performance. Traditional design methods rely on theoretical analysis and simulation, which is complicated and requires designers to have profound theoretical foundations. In order to simplify the design process and improve efficiency, this paper proposes a 2 × 2 MPA reverse-design strategy based on particle swarm optimization (PSO). This strategy uses intelligent algorithms to automatically explore the design space in order to discover MPA structures with optimal optical properties. In addition, the all-pass filter is introduced to the MPA superpixel unit in the design, which effectively reduces the crosstalk and frequency aliasing between pixels. In this study, two MPA models were designed: a traditional MPA and an MPA with an all-pass filter. The Degree of Linear Polarization (DOLP) image contrast is used as the evaluation standard and compared with the traditional MPA; the results show that the contrast of the newly designed traditional MPA image is increased by 21%, and the MPA image with the all-pass filter is significantly increased by 82%. Therefore, the reverse-design method proposed in this paper not only simplifies the design process but also can design an MPA with enhanced optical performance, which has obvious advantages over the traditional method.

摘要

微偏振器阵列(MPA)是焦平面分割(DoFP)成像系统的核心光学部件,其设计对系统性能至关重要。传统设计方法依赖理论分析和仿真,过程复杂且要求设计者具备深厚的理论基础。为简化设计流程并提高效率,本文提出一种基于粒子群优化(PSO)的2×2 MPA逆向设计策略。该策略利用智能算法自动探索设计空间,以发现具有最佳光学特性的MPA结构。此外,在设计中将全通滤波器引入MPA超像素单元,有效降低了像素间的串扰和频率混叠。本研究设计了两种MPA模型:传统MPA和带有全通滤波器的MPA。以线性偏振度(DOLP)图像对比度作为评价标准,并与传统MPA进行比较;结果表明,新设计的传统MPA图像对比度提高了21%,带有全通滤波器的MPA图像对比度显著提高了82%。因此,本文提出的逆向设计方法不仅简化了设计过程,还能设计出光学性能增强的MPA,与传统方法相比具有明显优势。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54ac/11509371/163b33edb663/micromachines-15-01251-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54ac/11509371/5cf983df5e6c/micromachines-15-01251-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54ac/11509371/48e6ef077e34/micromachines-15-01251-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54ac/11509371/728e1d7fcb4b/micromachines-15-01251-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54ac/11509371/87402cc331fa/micromachines-15-01251-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54ac/11509371/d4992ae0e89a/micromachines-15-01251-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54ac/11509371/e50b36a9bc80/micromachines-15-01251-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54ac/11509371/e5d36ea90745/micromachines-15-01251-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54ac/11509371/23ae5aba4007/micromachines-15-01251-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54ac/11509371/163b33edb663/micromachines-15-01251-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54ac/11509371/5cf983df5e6c/micromachines-15-01251-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54ac/11509371/48e6ef077e34/micromachines-15-01251-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54ac/11509371/728e1d7fcb4b/micromachines-15-01251-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54ac/11509371/87402cc331fa/micromachines-15-01251-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54ac/11509371/d4992ae0e89a/micromachines-15-01251-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54ac/11509371/e50b36a9bc80/micromachines-15-01251-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54ac/11509371/e5d36ea90745/micromachines-15-01251-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54ac/11509371/23ae5aba4007/micromachines-15-01251-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54ac/11509371/163b33edb663/micromachines-15-01251-g009.jpg

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A polarization image enhancement method for glioma.一种用于胶质瘤的偏振图像增强方法。
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Study on the calibration of full polarization imager.全极化成像仪校准研究
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