Overview of compressive sensing techniques applied in holography

被引：116

作者：

Rivenson, Yair ^{[1
]}

Stern, Adrian ^{[2
]}

Javidi, Bahram ^{[3
]}

机构：

[1] Ben Gurion Univ Negev, Dept Elect & Comp Engn, IL-84105 Beer Sheva, Israel

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

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

来源：

APPLIED OPTICS | 2013年 / 52卷 / 01期

基金：

以色列科学基金会;

关键词：

PARTIALLY OCCLUDED OBJECTS; IMAGE-RECONSTRUCTION; RECOGNITION; MICROORGANISMS; IDENTIFICATION; ALGORITHMS; TRACKING; SPARSITY; RECOVERY;

D O I：

10.1364/AO.52.00A423

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

In recent years compressive sensing (CS) has been successfully introduced in digital holography (DH). Depending on the ability to sparsely represent an object, the CS paradigm provides an accurate object reconstruction framework from a relatively small number of encoded signal samples. DH has proven to be an efficient and physically realizable sensing modality that can exploit the benefits of CS. In this paper, we provide an overview of the theoretical guidelines for application of CS in DH and demonstrate the benefits of compressive digital holographic sensing. (c) 2012 Optical Society of America

引用

页码：A423 / A432

页数：10

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