DocumentCode :
3277976
Title :
Lensless imaging by compressive sensing
Author :
Gang Huang ; Hong Jiang ; Matthews, K. ; Wilford, Paul
Author_Institution :
Bell Labs., Alcatel-Lucent, Murray Hill, NJ, USA
fYear :
2013
fDate :
15-18 Sept. 2013
Firstpage :
2101
Lastpage :
2105
Abstract :
In this paper, we propose a lensless compressive imaging architecture. The architecture consists of two components, an aperture assembly and a sensor. No lens is used. The aperture assembly consists of a two dimensional array of aperture elements. The transmittance of each aperture element is independently controllable. The sensor is a single detection element. A compressive sensing matrix is implemented by adjusting the transmittance of the individual aperture elements according to the values of the sensing matrix. The proposed architecture is simple and reliable because no lens is used. The architecture can be used for capturing images of visible and other spectra such as infrared, or millimeter waves, in surveillance applications for detecting anomalies or extracting features such as speed of moving objects. Multiple sensors may be used with a single aperture assembly to capture multiview images simultaneously. A prototype was built by using a LCD panel and a photoelectric sensor for capturing images of visible spectrum.
Keywords :
compressed sensing; feature extraction; image sensors; infrared spectra; liquid crystal displays; matrix algebra; photodetectors; sensor arrays; visible spectra; LCD panel; anomaly detection; aperture assembly; aperture element array; aperture element transmittance; compressive sensing matrix; feature extraction; infrared spectra; lensless compressive imaging architecture; millimeter wave spectra; multiview image; photoelectric sensor; sensor array; surveillance application; visible spectra; visible spectrum; Compressive sensing; imaging; lensless; sensor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2013 20th IEEE International Conference on
Conference_Location :
Melbourne, VIC
Type :
conf
DOI :
10.1109/ICIP.2013.6738433
Filename :
6738433
Link To Document :
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