Compressive sensing approach for reducing the number of exposures in multiple view projection holography

Yair Rivenson, Adrian Stern, Joseph Rosen

Research output: Contribution to journalConference articlepeer-review

Abstract

Compressive imaging enables the reconstruction of images from far fewer number of measurements predicted by classical sampling theorem. Here we demonstrate how this approach can dramatically reduce the number of exposures in multi-view projection holography.

Original languageEnglish
JournalOptics InfoBase Conference Papers
StatePublished - 1 Dec 2010
EventFrontiers in Optics, FiO 2010 - Rochester, NY, United States
Duration: 24 Oct 201028 Oct 2010

Fingerprint

Dive into the research topics of 'Compressive sensing approach for reducing the number of exposures in multiple view projection holography'. Together they form a unique fingerprint.

Cite this