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Development of plenoptic infrared ca...
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Chen, Liangliang.
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Development of plenoptic infrared camera using low dimensional material based photodetectors.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Development of plenoptic infrared camera using low dimensional material based photodetectors./
Author:
Chen, Liangliang.
Published:
Ann Arbor : ProQuest Dissertations & Theses, : 2016,
Description:
186 p.
Notes:
Source: Dissertation Abstracts International, Volume: 77-09(E), Section: B.
Contained By:
Dissertation Abstracts International77-09B(E).
Subject:
Electrical engineering. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10103216
ISBN:
9781339667997
Development of plenoptic infrared camera using low dimensional material based photodetectors.
Chen, Liangliang.
Development of plenoptic infrared camera using low dimensional material based photodetectors.
- Ann Arbor : ProQuest Dissertations & Theses, 2016 - 186 p.
Source: Dissertation Abstracts International, Volume: 77-09(E), Section: B.
Thesis (Ph.D.)--Michigan State University, 2016.
Infrared (IR) sensor has extended imaging from submicron visible spectrum to tens of microns wavelength, which has been widely used for military and civilian application. The conventional bulk semiconductor materials based IR cameras suffer from low frame rate, low resolution, temperature dependent and highly cost, while the unusual Carbon Nanotube (CNT), low dimensional material based nanotechnology has been made much progress in research and industry. The unique properties of CNT lead to investigate CNT based IR photodetectors and imaging system, resolving the sensitivity, speed and cooling difficulties in state of the art IR imagings.
ISBN: 9781339667997Subjects--Topical Terms:
649834
Electrical engineering.
Development of plenoptic infrared camera using low dimensional material based photodetectors.
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Source: Dissertation Abstracts International, Volume: 77-09(E), Section: B.
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Thesis (Ph.D.)--Michigan State University, 2016.
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Infrared (IR) sensor has extended imaging from submicron visible spectrum to tens of microns wavelength, which has been widely used for military and civilian application. The conventional bulk semiconductor materials based IR cameras suffer from low frame rate, low resolution, temperature dependent and highly cost, while the unusual Carbon Nanotube (CNT), low dimensional material based nanotechnology has been made much progress in research and industry. The unique properties of CNT lead to investigate CNT based IR photodetectors and imaging system, resolving the sensitivity, speed and cooling difficulties in state of the art IR imagings.
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The reliability and stability is critical to the transition from nano science to nano engineering especially for infrared sensing. It is not only for the fundamental understanding of CNT photoresponse induced processes, but also for the development of a novel infrared sensitive material with unique optical and electrical features. In the proposed research, the sandwich-structured sensor was fabricated within two polymer layers. The substrate polyimide provided sensor with isolation to background noise, and top parylene packing blocked humid environmental factors. At the same time, the fabrication process was optimized by real time electrical detection dielectrophoresis and multiple annealing to improve fabrication yield and sensor performance. The nanoscale infrared photodetector was characterized by digital microscopy and precise linear stage in order for fully understanding it. Besides, the low noise, high gain readout system was designed together with CNT photodetector to make the nano sensor IR camera available.
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To explore more of infrared light, we employ compressive sensing algorithm into light field sampling, 3-D camera and compressive video sensing. The redundant of whole light field, including angular images for light field, binocular images for 3-D camera and temporal information of video streams, are extracted and expressed in compressive approach. The following computational algorithms are applied to reconstruct images beyond 2D static information. The super resolution signal processing was then used to enhance and improve the image spatial resolution. The whole camera system brings a deeply detailed content for infrared spectrum sensing.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10103216
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