Multi-dimensional Compressive Imaging

被引：0

作者：

Javidi, B. ^{[1
]}

Mahalanobis, A. ^{[2
]}

Xiao, X. ^{[1
]}

Rivenson, Y. ^{[3
]}

Horisaki, R. ^{[4
]}

Stern, A. ^{[3
]}

Latorre-Carmona, P. ^{[5
]}

Martinez-Corral, M. ^{[6
]}

Pla, F. ^{[5
]}

Tanida, J. ^{[4
]}

机构：

[1] Univ Connecticut, Dept Elect & Comp Engn, Storrs, CT 06269 USA

[2] Lockheed Martin Missiles & Fire Control, Orlando, FL 32819 USA

[3] Ben Gurion Univ Negev, Dept Electroopt Engn, IL-84105 Beer Sheva, Israel

[4] Osaka Univ, Dept Informat & Phys Sci, Suita, Osaka 5650871, Japan

[5] Univ Jaume 1, Inst New Imaging Technol, Castellon De La Plana 12071, Spain

[6] Univ Valencia, Dept Opt, Valencia, Spain

来源：

EMERGING TECHNOLOGIES IN SECURITY AND DEFENCE; AND QUANTUM SECURITY II; AND UNMANNED SENSOR SYSTEMS X | 2013年 / 8899卷

关键词：

Compressive sensing; integral imaging; spectral imaging; PARTIALLY OCCLUDED OBJECTS; RECONSTRUCTION; ACQUISITION; PERFORMANCE; ALGORITHMS; SYSTEM;

D O I：

10.1117/12.2034426

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this keynote address paper, we present an overview of our previously published work on using compressive sensing in multi-dimensional imaging. We shall examine a variety of multi dimensional imaging approaches and applications, including 3D multi modal imaging integrated with polarimetric and multi spectral imaging, integral imaging and digital holography. This Keynote Address paper is an overview of our previously reported work on 3D imaging with compressive sensing.

引用

页数：10

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