title: Terahertz imaging with compressed sensing and phase retrieval.
abstract: 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 x 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.
authors.affiliation: Department of Electrical and Computer Engineering, Rice University, 6100 Main Street, Houston, Texas 77005, USA. wailam@rice.edu
authors.forename: Wai Lam
authors.initials: WL
authors.lastname: Chan
authors.forename: Matthew L
authors.initials: ML
authors.lastname: Moravec
authors.forename: Richard G
authors.initials: RG
authors.lastname: Baraniuk
authors.forename: Daniel M
authors.initials: DM
authors.lastname: Mittleman