Fast multispectral imaging via hybrid-encoded LED illumination and a lightweight deep-learning model.

IF 3.3 2区 物理与天体物理 Q2 OPTICS
Optics letters Pub Date : 2025-10-01 DOI:10.1364/OL.572715
Yijia Zeng, Xin Wang, Lihong Jiang, Jian-Wu Qi, Zijian Lin, Tingbiao Guo, Sailing He
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引用次数: 0

Abstract

Active LED-based spectral imaging systems provide flexibility and cost-efficiency but suffer from poor temporal resolution due to the need to individually activate LEDs with different light-emitting wavelengths. This work presents a fast spectral imaging scheme leveraging hybrid-encoded LED illumination and a lightweight deep-learning model, LiteSpectralNet (LSNet). It simultaneously activates multiple LEDs in each measurement, significantly enhancing the encoding efficiency compared to traditional sequential methods. LSNet, a one-dimensional convolutional neural network, effectively reconstructs spectra from these compressed measurements. Experimental results demonstrate an 8.2-fold reduction in total exposure time and a 54% reduction in data storage. This method offers 180.5-fold acceleration in reconstruction speed over traditional approaches, with comparable spectral imaging performance, providing an efficient solution for active multispectral imaging.

通过混合编码LED照明和轻量级深度学习模型实现快速多光谱成像。
基于主动式led的光谱成像系统提供了灵活性和成本效益,但由于需要单独激活具有不同发光波长的led,因此时间分辨率较差。本研究提出了一种利用混合编码LED照明和轻量级深度学习模型LiteSpectralNet (LSNet)的快速光谱成像方案。它在每次测量中同时激活多个led,与传统的顺序方法相比,显著提高了编码效率。LSNet是一种一维卷积神经网络,可以有效地从这些压缩的测量数据中重建光谱。实验结果表明,总曝光时间减少8.2倍,数据存储减少54%。该方法重建速度比传统方法加快180.5倍,具有相当的光谱成像性能,为主动多光谱成像提供了有效的解决方案。
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来源期刊
Optics letters
Optics letters 物理-光学
CiteScore
6.60
自引率
8.30%
发文量
2275
审稿时长
1.7 months
期刊介绍: The Optical Society (OSA) publishes high-quality, peer-reviewed articles in its portfolio of journals, which serve the full breadth of the optics and photonics community. Optics Letters offers rapid dissemination of new results in all areas of optics with short, original, peer-reviewed communications. Optics Letters covers the latest research in optical science, including optical measurements, optical components and devices, atmospheric optics, biomedical optics, Fourier optics, integrated optics, optical processing, optoelectronics, lasers, nonlinear optics, optical storage and holography, optical coherence, polarization, quantum electronics, ultrafast optical phenomena, photonic crystals, and fiber optics. Criteria used in determining acceptability of contributions include newsworthiness to a substantial part of the optics community and the effect of rapid publication on the research of others. This journal, published twice each month, is where readers look for the latest discoveries in optics.
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