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A Compact and Highly Efficient Compressive Sensing Imaging System Using In-Fiber Grating

Wang, Guoqing, Zhou, Yuan, Zhao, Fang, Shao, Li-Yang, Liu, Huanhuan, Sun, Lipeng, Jiao, Shuming, Wang, Weizhi, Min, Rui, Du, E., and others. (2023) A Compact and Highly Efficient Compressive Sensing Imaging System Using In-Fiber Grating. IEEE Photonics Technology Letters, 35 (4). pp. 195-198. ISSN 1941-0174. (doi:10.1109/LPT.2022.3233873) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:114476)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
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Official URL:
https://doi.org/10.1109/LPT.2022.3233873

Abstract

Serial time-encoded amplified microscopy can achieve ultrafast imaging speed within varied dynamic regimes. However, it has two challenges: the high-throughput data issue and low-efficiency diffraction issue. Here, we report a compact and highly efficient ultrafast optical imaging system based on compressive sensing and in-fiber grating. Our proposal is confirmed by the proof-of-principle experiment and obtains a minimum data compression ratio of 5 with a continuous ultrafast imaging speed of 10 Mfps at a field of view of 0.5 mm \ast 1.6 mm. A barcode with a moving speed of 4m/s is also demonstrated for imaging and an imaging speed of 1.25 Mfps is obtained. The proposed optical imaging system overcomes the big data issue, increases energy efficiency, and paves the way for compact and highly efficient ultrafast optical imaging within dynamic scenarios.

Item Type: Article
DOI/Identification number: 10.1109/LPT.2022.3233873
Uncontrolled keywords: Imaging;Optical fiber dispersion;Optical imaging;Optical fiber polarization;Optical fiber amplifiers;Image reconstruction;Diffraction;Fiber gratings;diffractive optics;optical imaging systems;fiber optics systems;photodetector
Subjects: T Technology > TK Electrical engineering. Electronics. Nuclear engineering
Institutional Unit: Schools > School of Engineering, Mathematics and Physics > Engineering
Former Institutional Unit:
There are no former institutional units.
Depositing User: Chao Wang
Date Deposited: 06 May 2026 13:41 UTC
Last Modified: 06 May 2026 13:41 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/114476 (The current URI for this page, for reference purposes)

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