A single-pixel terahertz imaging system based on compressed sensing

Wai Lam Chan, Kriti Charan, Dharmpal Takhar, Kevin F. Kelly, Richard G. Baraniuk, Daniel M. Mittleman

Research output: Contribution to journalArticle

474 Scopus citations

Abstract

We describe a terahertz imaging system that uses a single pixel detector in combination with a series of random masks to enable high-speed image acquisition. The image formation is based on the theory of compressed sensing, which permits the reconstruction of a N -by- N pixel image using much fewer than N2 measurements. This approach eliminates the need for raster scanning of the object or the terahertz beam, while maintaining the high sensitivity of a single-element detector. We demonstrate the concept using a pulsed terahertz time-domain system and show the reconstruction of both amplitude and phase-contrast images. The idea of compressed sensing is quite general and could also be implemented with a continuous-wave terahertz source.

Original languageEnglish (US)
Article number121105
JournalApplied Physics Letters
Volume93
Issue number12
DOIs
StatePublished - 2008

ASJC Scopus subject areas

  • Physics and Astronomy (miscellaneous)

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