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使用混沌波的单次多光谱多维成像。

Single shot multispectral multidimensional imaging using chaotic waves.

作者信息

Anand Vijayakumar, Ng Soon Hock, Maksimovic Jovan, Linklater Denver, Katkus Tomas, Ivanova Elena P, Juodkazis Saulius

机构信息

Center for Micro-Photonics, Faculty of Science, Engineering and Technology, Swinburne University of Technology, Hawthorn, VIC, 3122, Australia.

Department of Physics, RMIT, GPO Box 2476, Melbourne, VIC, 3001, Australia.

出版信息

Sci Rep. 2020 Aug 17;10(1):13902. doi: 10.1038/s41598-020-70849-7.

DOI:10.1038/s41598-020-70849-7
PMID:32807816
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7431426/
Abstract

Multispectral imaging technology is a valuable scientific tool for various applications in astronomy, remote sensing, molecular fingerprinting, and fluorescence imaging. In this study, we demonstrate a single camera shot, lensless, interferenceless, motionless, non-scanning, space, spectrum, and time resolved five-dimensional incoherent imaging technique using tailored chaotic waves with quasi-random intensity and phase distributions. Chaotic waves can distinctly encode spatial and spectral information of an object in single self-interference intensity distribution. In this study, a tailored chaotic wave with a nearly pure phase function and lowest correlation noise is generated using a quasi-random array of pinholes. A unique sequence of signal processing techniques is applied to extract all possible spatial and spectral channels with the least entropy. The depth-wavelength reciprocity is exploited to see colour from depth and depth from colour and the physics of beam propagation is exploited to see at one depth by calibrating at another.

摘要

多光谱成像技术是一种在天文学、遥感、分子指纹识别和荧光成像等各种应用中具有重要价值的科学工具。在本研究中,我们展示了一种单相机拍摄、无透镜、无干涉、静止、非扫描、空间、光谱和时间分辨的五维非相干成像技术,该技术使用具有准随机强度和相位分布的定制混沌波。混沌波可以在单个自干涉强度分布中清晰地编码物体的空间和光谱信息。在本研究中,使用准随机针孔阵列生成具有近乎纯相位函数和最低相关噪声的定制混沌波。应用独特的信号处理技术序列,以最少的熵提取所有可能的空间和光谱通道。利用深度 - 波长互易性从深度中看到颜色,从颜色中看到深度,并利用光束传播的物理原理通过在另一个深度进行校准来在一个深度进行观察。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f918/7431426/8aa818fddd4a/41598_2020_70849_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f918/7431426/4eeda2e33d41/41598_2020_70849_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f918/7431426/e2d35407face/41598_2020_70849_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f918/7431426/22305f4e87fb/41598_2020_70849_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f918/7431426/dc652e111269/41598_2020_70849_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f918/7431426/38112bf93e66/41598_2020_70849_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f918/7431426/8aa818fddd4a/41598_2020_70849_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f918/7431426/4eeda2e33d41/41598_2020_70849_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f918/7431426/e2d35407face/41598_2020_70849_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f918/7431426/22305f4e87fb/41598_2020_70849_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f918/7431426/dc652e111269/41598_2020_70849_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f918/7431426/38112bf93e66/41598_2020_70849_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f918/7431426/8aa818fddd4a/41598_2020_70849_Fig6_HTML.jpg

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