Terahertz imaging with compressed sensing and phase retrieval

Wai Lam Chan, Matthew L. Moravec, Richard G. Baraniuk, Daniel M. Mittleman

Research output: Contribution to journalArticlepeer-review

203 Scopus citations


We describe a novel, high-speed pulsed terahertz (THz) Fourier imaging system based on compressed sensing (CS), a new signal processing theory, which allows image reconstruction with fewer samples than traditionally required. Using CS, we successfully reconstruct a 64 × 64 image of an object with pixel size 1.4 mm using a randomly chosen subset of the 4096 pixels, which defines the image in the Fourier plane, and observe improved reconstruction quality when we apply phase correction. For our chosen image, only about 12% of the pixels are required for reassembling the image. In combination with phase retrieval, our system has the capability to reconstruct images with only a small subset of Fourier amplitude measurements and thus has potential application in THz imaging with cw sources.

Original languageEnglish (US)
Pages (from-to)974-976
Number of pages3
JournalOptics Letters
Issue number9
StatePublished - May 1 2008

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics


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