Optimized compressive sampling for passive millimeter-wave imaging

Leonidas Spinoulas*, Jin Qi, Aggelos K. Katsaggelos, Thomas W. Elmer, Nachappa Gopalsami, Apostolos C. Raptis

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)6335-6342
Number of pages8
JournalApplied optics
Volume51
Issue number26
DOIs
StatePublished - Sep 10 2012

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Engineering (miscellaneous)
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Optimized compressive sampling for passive millimeter-wave imaging'. Together they form a unique fingerprint.

Cite this