Super resolution infrared camera using single carbon nanotube photodetector

Liangliang Chen; Zhanxin Zhou; Ning Xi; Ruiguo Yang; Bo Song; Zhiyong Sun; Chengzhi Su

doi:10.1109/ICSENS.2014.6985181

Super resolution infrared camera using single carbon nanotube photodetector

Liangliang Chen, Zhanxin Zhou, Ning Xi, Ruiguo Yang, Bo Song, Zhiyong Sun, Chengzhi Su

Research output: Contribution to journal › Conference article

Abstract

Single pixel camera is one of most attractive applications of compressive sensing research, which opens up a new window for image capturing. It will make silicon blind wavelength camera affordable. However, the acquired images are low resolution compared to commercialized single-lens reflex visible camera due to the limited computation and accuracy of compressive sensing. In this work, by analyzing optics of single pixel imaging system, we present a novel design for single pixel camera, which allows for recovering super resolution image by carbon nanotube based infrared photodetector. It samples multiple angular images through different pin holes so that more information is captured. Then, a robust reconstruction algorithm is applied to recover high resolution image. The performance of high resolution single pixel camera can achieve million pixels image from angular images.

Original language	English (US)
Article number	6985181
Pages (from-to)	1038-1041
Number of pages	4
Journal	Proceedings of IEEE Sensors
Volume	2014-December
Issue number	December
DOIs	https://doi.org/10.1109/ICSENS.2014.6985181
State	Published - Dec 12 2014
Event	13th IEEE SENSORS Conference, SENSORS 2014 - Valencia, Spain Duration: Nov 2 2014 → Nov 5 2014

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/ICSENS.2014.6985181

Fingerprint Dive into the research topics of 'Super resolution infrared camera using single carbon nanotube photodetector'. Together they form a unique fingerprint.

Cite this

Chen, L., Zhou, Z., Xi, N., Yang, R., Song, B., Sun, Z., & Su, C. (2014). Super resolution infrared camera using single carbon nanotube photodetector. Proceedings of IEEE Sensors, 2014-December(December), 1038-1041. [6985181]. https://doi.org/10.1109/ICSENS.2014.6985181

@article{f4420ed3be2a42168cb028e4224da6a4,

title = "Super resolution infrared camera using single carbon nanotube photodetector",

abstract = "Single pixel camera is one of most attractive applications of compressive sensing research, which opens up a new window for image capturing. It will make silicon blind wavelength camera affordable. However, the acquired images are low resolution compared to commercialized single-lens reflex visible camera due to the limited computation and accuracy of compressive sensing. In this work, by analyzing optics of single pixel imaging system, we present a novel design for single pixel camera, which allows for recovering super resolution image by carbon nanotube based infrared photodetector. It samples multiple angular images through different pin holes so that more information is captured. Then, a robust reconstruction algorithm is applied to recover high resolution image. The performance of high resolution single pixel camera can achieve million pixels image from angular images.",

author = "Liangliang Chen and Zhanxin Zhou and Ning Xi and Ruiguo Yang and Bo Song and Zhiyong Sun and Chengzhi Su",

year = "2014",

month = dec,

day = "12",

doi = "10.1109/ICSENS.2014.6985181",

language = "English (US)",

volume = "2014-December",

pages = "1038--1041",

journal = "Proceedings of IEEE Sensors",

issn = "1930-0395",

number = "December",

note = "13th IEEE SENSORS Conference, SENSORS 2014 ; Conference date: 02-11-2014 Through 05-11-2014",

}

TY - JOUR

T1 - Super resolution infrared camera using single carbon nanotube photodetector

AU - Chen, Liangliang

AU - Zhou, Zhanxin

AU - Xi, Ning

AU - Yang, Ruiguo

AU - Song, Bo

AU - Sun, Zhiyong

AU - Su, Chengzhi

PY - 2014/12/12

Y1 - 2014/12/12

N2 - Single pixel camera is one of most attractive applications of compressive sensing research, which opens up a new window for image capturing. It will make silicon blind wavelength camera affordable. However, the acquired images are low resolution compared to commercialized single-lens reflex visible camera due to the limited computation and accuracy of compressive sensing. In this work, by analyzing optics of single pixel imaging system, we present a novel design for single pixel camera, which allows for recovering super resolution image by carbon nanotube based infrared photodetector. It samples multiple angular images through different pin holes so that more information is captured. Then, a robust reconstruction algorithm is applied to recover high resolution image. The performance of high resolution single pixel camera can achieve million pixels image from angular images.

AB - Single pixel camera is one of most attractive applications of compressive sensing research, which opens up a new window for image capturing. It will make silicon blind wavelength camera affordable. However, the acquired images are low resolution compared to commercialized single-lens reflex visible camera due to the limited computation and accuracy of compressive sensing. In this work, by analyzing optics of single pixel imaging system, we present a novel design for single pixel camera, which allows for recovering super resolution image by carbon nanotube based infrared photodetector. It samples multiple angular images through different pin holes so that more information is captured. Then, a robust reconstruction algorithm is applied to recover high resolution image. The performance of high resolution single pixel camera can achieve million pixels image from angular images.

UR - http://www.scopus.com/inward/record.url?scp=84931082301&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84931082301&partnerID=8YFLogxK

U2 - 10.1109/ICSENS.2014.6985181

DO - 10.1109/ICSENS.2014.6985181

M3 - Conference article

AN - SCOPUS:84931082301

VL - 2014-December

SP - 1038

EP - 1041

JO - Proceedings of IEEE Sensors

JF - Proceedings of IEEE Sensors

SN - 1930-0395

IS - December

M1 - 6985181

T2 - 13th IEEE SENSORS Conference, SENSORS 2014

Y2 - 2 November 2014 through 5 November 2014

ER -