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通过多光谱脉冲照明和时间-光谱解耦实现的高速光谱成像。

High-speed spectral imaging via multispectral pulse illumination and temporal-spectral decoupling.

作者信息

Wu Jinxuan, Li Daoyu, Zhao Jiajun, Xu Hanwen, Zhang Yuzhe, Bian Liheng

出版信息

Opt Lett. 2025 Feb 1;50(3):972-975. doi: 10.1364/OL.547040.

Abstract

Spectral imaging (SI) faces inherent trade-offs among spatial, temporal, and spectral resolutions due to limited bandwidth. Current high-speed SI systems, relying on fast modulation or specific cameras, compromise spatial resolution or suffer high complexity and cost. This work presents a low-cost, high-speed SI scheme achieving up to 240 frames per second (fps) and even s-resolved multispectral observation. This work reveals the inherent temporal-spectral redundancy in SI videos and reports an active temporal-spectral coupling (TSC) and decoupling (TSD) strategy for high-speed SI. We established a prototype system using a snapshot SI camera and a multispectral LED array. The LEDs sequentially illuminate the scene channel by channel in one exposure for TSC acquisition. Each channel of the measurement corresponds one-to-one to an illumination moment. A transformer-based network is applied to decouple textural and spectral information from the measurement and re-couple them to reconstruct images across all channels and time instances. Experiments validated that the reported framework can successfully record s-resolved multispectral videos.

摘要

由于带宽有限,光谱成像(SI)在空间、时间和光谱分辨率之间面临固有的权衡。当前的高速SI系统,依赖于快速调制或特定相机,会牺牲空间分辨率,或者具有高复杂性和高成本。这项工作提出了一种低成本、高速的SI方案,可实现高达每秒240帧(fps)甚至是光谱分辨的多光谱观测。这项工作揭示了SI视频中固有的时间-光谱冗余,并报告了一种用于高速SI的主动时间-光谱耦合(TSC)和解耦(TSD)策略。我们使用一台快照SI相机和一个多光谱LED阵列建立了一个原型系统。LED在一次曝光中逐通道顺序照亮场景以进行TSC采集。测量的每个通道与一个照明时刻一一对应。应用基于变压器的网络从测量中解耦纹理和光谱信息,并将它们重新耦合以重建所有通道和时间实例上的图像。实验验证了所报道的框架能够成功记录光谱分辨的多光谱视频。

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