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Optimizing codes for compressed ultrafast photography by the genetic algorithm

Yang, Chengshuai and Qi, Dalong and Wang, Xing and Cao, Fengyan and He, Yilin and Wen, Wenlong and Jia, Tianqing and Tian, Jinshou and Sun, Zhenrong and Gao, Liang and Zhang, Shian and Wang, Lihong V. (2018) Optimizing codes for compressed ultrafast photography by the genetic algorithm. Optica, 5 (2). pp. 147-151. ISSN 2334-2536. https://resolver.caltech.edu/CaltechAUTHORS:20180307-130604402

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Abstract

The compressed ultrafast photography (CUP) technique, providing the fastest receive-only camera so far, has shown to be a well-established tool to capture the ultrafast dynamical scene. This technique is based on random codes to encode and decode the ultrafast dynamical scene by a compressed sensing algorithm. The choice of random codes significantly affects the image reconstruction quality. Therefore, it is important to optimize the encoding codes. Here, we develop a new scheme to obtain the optimized codes by combining a genetic algorithm (GA) into the CUP technique. First, we measure the dynamical scene by the CUP system with random codes and obtain the dynamical scene image at each moment. Second, we use these reconstructed dynamical scene images as the optimization target and optimize the encoding codes based on the GA. Finally, we utilize the optimized codes to recapture the dynamical scene and improve the image reconstruction quality. We validate our optimization scheme by the numerical simulation of a moving double-semielliptical spot and the experimental demonstration of a time- and space-evolving pulsed laser spot.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1364/OPTICA.5.000147DOIArticle
https://www.osapublishing.org/optica/abstract.cfm?uri=optica-5-2-147PublisherArticle
ORCID:
AuthorORCID
Wang, Lihong V.0000-0001-9783-4383
Additional Information:© 2018 Optical Society of America under the terms of the OSA Open Access Publishing Agreement. Received 30 October 2017; revised 16 December 2017; accepted 19 December 2017 (Doc. ID 309354); published 1 February 2018. Funding: National Natural Science Foundation of China (NSFC) (11474096, 11727810, 11774094, 61720106009); Science and Technology Commission of Shanghai Municipality (STCSM) (16520721200, 17ZR146900).
Funders:
Funding AgencyGrant Number
National Natural Science Foundation of China11474096
National Natural Science Foundation of China11727810
National Natural Science Foundation of China11774094
National Natural Science Foundation of China61720106009
Science and Technology Commission of Shanghai Municipality16520721200
Science and Technology Commission of Shanghai Municipality17ZR146900
Issue or Number:2
Classification Code:OCIS codes: (100.0118) Imaging ultrafast phenomena; (110.1758) Computational imaging; (110.3010) Image reconstruction techniques.
Record Number:CaltechAUTHORS:20180307-130604402
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20180307-130604402
Official Citation:Chengshuai Yang, Dalong Qi, Xing Wang, Fengyan Cao, Yilin He, Wenlong Wen, Tianqing Jia, Jinshou Tian, Zhenrong Sun, Liang Gao, Shian Zhang, and Lihong V. Wang, "Optimizing codes for compressed ultrafast photography by the genetic algorithm," Optica 5, 147-151 (2018)
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:85181
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:07 Mar 2018 21:59
Last Modified:03 Oct 2019 19:27

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