Wang, Guoqing, Zhou, Yuan, Min, Rui, Zhao, Fang, Du, E, Li, Xingquan, Qiu, Cong, Xiao, Dongrui, Wang, Chao (2024) An Ultrafast Optical Imaging System with Anamorphic Transformation Based on STEAM Structure. Photonics, 11 (12). Article Number 1168. ISSN 2304-6732. (doi:10.3390/photonics11121168) (KAR id:108372)
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Official URL: https://doi.org/10.3390/photonics11121168 |
Abstract
The time-stretch (TS) imaging system is one type of ultrafast optical imaging system that enables imaging with an unprecedented imaging speed of tens of hundreds of megahertz. The TS imaging achieves linear one-to-one mapping between wavelength and time using a temporal dispersive medium. However, the data issue of high throughput and the fixed resolution in TS imaging limits its wide applications. In this paper, we propose an ultrafast optical imaging system with anamorphic transformation (AT) based on the STEAM structure, which has the benefit of data compression and changing group delay-related resolution. AT is obtained by the usage of chirped fiber Bragg grating (CFBG) with a nonlinear group delay profile. A state-of-the-art experimental demonstration shows that more acquired data are employed to describe the dense information region and the group delay-related resolution is improved by 58% using our proposed ultrafast optical imaging system without reducing the line scanning speed of 50 MHz. The proposal could increase the group delay-related resolution of the target image without adding extra data acquisition or changing the system setup, which has great potential in ultrafast optical imaging systems. Furthermore, the AT in our proposal could also be applied to data compression algorithms to mitigate the data issue in ultrafast optical imaging systems.
Item Type: | Article |
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DOI/Identification number: | 10.3390/photonics11121168 |
Uncontrolled keywords: | ultrafast optics, optical imaging, time-stretch imaging, anamorphic transformation, compressive sensing |
Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
SWORD Depositor: | JISC Publications Router |
Depositing User: | JISC Publications Router |
Date Deposited: | 21 Feb 2025 10:41 UTC |
Last Modified: | 26 Feb 2025 03:55 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/108372 (The current URI for this page, for reference purposes) |
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