Optimized compressive sampling for passive millimeter-wave imaging

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

doi:10.1364/AO.51.006335

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

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

16 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 language	English (US)
Pages (from-to)	6335-6342
Number of pages	8
Journal	Applied optics
Volume	51
Issue number	26
DOIs	https://doi.org/10.1364/AO.51.006335
State	Published - Sep 10 2012

ASJC Scopus subject areas

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

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AU - Spinoulas, Leonidas

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AU - Gopalsami, Nachappa

AU - Raptis, Apostolos C.

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Optimized compressive sampling for passive millimeter-wave imaging

Abstract

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