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Applied Optics

Applied Optics


  • Editor: Joseph N. Mait
  • Vol. 51, Iss. 26 — Sep. 10, 2012
  • pp: 6335–6342

Optimized compressive sampling for passive millimeter-wave imaging

Leonidas Spinoulas, Jin Qi, Aggelos K. Katsaggelos, Thomas W. Elmer, Nachappa Gopalsami, and Apostolos C. Raptis  »View Author Affiliations

Applied Optics, Vol. 51, Issue 26, pp. 6335-6342 (2012)

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In this paper, we briefly describe a single detector passive millimeter-wave imaging system, which has been previously presented. The system uses a cyclic sensing matrix to acquire incoherent measurements of the observed scene and then reconstructs the image using a Bayesian approach. The cyclic nature of the sensing matrix allows for the design of a single unified and compact mask that provides all the required random masks in a convenient way, such that no mechanical mask exchange is needed. Based on this setup, we primarily propose the optimal adaptive selection of sampling submasks out of the full cyclic mask to obtain improved reconstruction results. The reconstructed images show the feasibility of the imaging system as well as its improved performance through the proposed sampling scheme.

© 2012 Optical Society of America

OCIS Codes
(100.3010) Image processing : Image reconstruction techniques
(100.3190) Image processing : Inverse problems
(110.0110) Imaging systems : Imaging systems
(110.1085) Imaging systems : Adaptive imaging
(110.1758) Imaging systems : Computational imaging
(280.4991) Remote sensing and sensors : Passive remote sensing

ToC Category:
Remote Sensing and Sensors

Original Manuscript: June 29, 2012
Revised Manuscript: August 9, 2012
Manuscript Accepted: August 13, 2012
Published: September 7, 2012

Leonidas Spinoulas, Jin Qi, Aggelos K. Katsaggelos, Thomas W. Elmer, Nachappa Gopalsami, and Apostolos C. Raptis, "Optimized compressive sampling for passive millimeter-wave imaging," Appl. Opt. 51, 6335-6342 (2012)

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