Overview of compressive sensing techniques applied in holography [Invited]

Yair Rivenson, Adrian Stern, Bahram Javidi

Research output: Contribution to journalArticlepeer-review

122 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)A423-A432
JournalApplied Optics
Volume52
Issue number1
DOIs
StatePublished - 1 Jan 2013

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