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Conference Paper: Single image super resolution infrared camera using carbon nanotube photodetector

TitleSingle image super resolution infrared camera using carbon nanotube photodetector
Authors
Chen, LZhou, ZDeng, LXi, NSong, BYang, YHao, YSun, Z
Issue Date2015
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7361
Citation
The 14th IEEE Sensors Conference (IEEE SENSORS 2015), Busan, Korea, 1-4 November 2015. In Conference Proceedings, 2015, p. 1-4 How to Cite?
DOI: http://dx.doi.org/10.1109/ICSENS.2015.7370265
AbstractIn this work, high performance Carbon Nanotube (CNT) based Infrared (IR) photodetector was used in single pixel camera, which worked in room temperature without cryogenics cooling. The compressive sensing algorithm limited IR image in low resolution due to iterative computational method. In this paper, a novel model containing smooth and edge components was introduced to reconstruct high resolution IR image using single low resolution IR image. Compared to multiple scenes or video sequences super resolution method, the proposed algorithm is applicable on real-time camera or video system. The overall camera system can get high resolution IR image based on single CNT based IR photodetector, make IR camera better measurement accuracy and observe more details at long distance. © 2015 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/235014
ISBN
978-147998202-8
ISSN
1530-437X
2021 Impact Factor: 4.325
2020 SCImago Journal Rankings: 0.681

 

DC FieldValueLanguage
dc.contributor.authorChen, L-
dc.contributor.authorZhou, Z-
dc.contributor.authorDeng, L-
dc.contributor.authorXi, N-
dc.contributor.authorSong, B-
dc.contributor.authorYang, Y-
dc.contributor.authorHao, Y-
dc.contributor.authorSun, Z-
dc.date.accessioned2016-10-14T13:50:43Z-
dc.date.available2016-10-14T13:50:43Z-
dc.date.issued2015-
dc.identifier.citationThe 14th IEEE Sensors Conference (IEEE SENSORS 2015), Busan, Korea, 1-4 November 2015. In Conference Proceedings, 2015, p. 1-4-
dc.identifier.isbn978-147998202-8-
dc.identifier.issn1530-437X-
dc.identifier.urihttp://hdl.handle.net/10722/235014-
dc.description.abstractIn this work, high performance Carbon Nanotube (CNT) based Infrared (IR) photodetector was used in single pixel camera, which worked in room temperature without cryogenics cooling. The compressive sensing algorithm limited IR image in low resolution due to iterative computational method. In this paper, a novel model containing smooth and edge components was introduced to reconstruct high resolution IR image using single low resolution IR image. Compared to multiple scenes or video sequences super resolution method, the proposed algorithm is applicable on real-time camera or video system. The overall camera system can get high resolution IR image based on single CNT based IR photodetector, make IR camera better measurement accuracy and observe more details at long distance. © 2015 IEEE.-
dc.languageeng-
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7361-
dc.relation.ispartofIEEE Sensors Journal-
dc.rightsIEEE Sensors Journal. Copyright © IEEE.-
dc.rights©2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.titleSingle image super resolution infrared camera using carbon nanotube photodetector-
dc.typeConference_Paper-
dc.identifier.emailXi, N: xining@hku.hk-
dc.identifier.authorityXi, N=rp02044-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/ICSENS.2015.7370265-
dc.identifier.scopuseid_2-s2.0-84963520641-
dc.identifier.hkuros269346-
dc.identifier.spage1-
dc.identifier.epage4-
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 161019-
dc.identifier.issnl1530-437X-

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