Optimized compressive sampling for passive millimeter-wave imaging

被引：13

作者：

Spinoulas, Leonidas ^{[1
]}

Qi, Jin ^{[2
]}

Katsaggelos, Aggelos K. ^{[1
]}

Elmer, Thomas W. ^{[3
]}

Gopalsami, Nachappa ^{[3
]}

Raptis, Apostolos C. ^{[3
]}

机构：

[1] Northwestern Univ, Dept Elect Engn & Comp Sci, Evanston, IL 60208 USA

[2] Univ Elect Sci & Technol China, Dept Elect Engn, Chengdu 611731, Peoples R China

[3] Argonne Natl Lab, Nucl Engn Div, Lemont, IL 60439 USA

来源：

APPLIED OPTICS | 2012年 / 51卷 / 26期

关键词：

Image enhancement - Image reconstruction - Compressed sensing - Bayesian networks - Millimeter waves;

D O I：

10.1364/AO.51.006335

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

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. (c) 2012 Optical Society of America

引用

页码：6335 / 6342

页数：8

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