DocumentCode :
3721731
Title :
Single image super resolution infrared camera using carbon nanotube photodetector
Author :
Liangliang Chen;Zhanxin Zhou;Liangjian Deng;Ning Xi;Bo Song;Yongliang Yang;Yujie Hao;Zhiyong Sun
Author_Institution :
Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824
fYear :
2015
Firstpage :
1
Lastpage :
4
Abstract :
In 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.
Keywords :
"Image resolution","Cameras","Photodetectors","Optical distortion","Optical sensors","Image edge detection","Detectors"
Publisher :
ieee
Conference_Titel :
SENSORS, 2015 IEEE
Type :
conf
DOI :
10.1109/ICSENS.2015.7370265
Filename :
7370265
Link To Document :
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