Statistical methods in compressive imaging

Lawrence Carin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This talk will review recent developments in the use of statistical methods for inversion of data that are acquired compressively. A particular focus will be placed on dictionary learning and its connection to mixture models. It will be explained how these methods can be used to achieve very efficient inversion, with state-of-the-art accuracy. The basic framework will be demonstrated as applied to real compressively acquired data. In particular, we will consider compressive measurements with respect to time, spectrum and focus. © 2014 OSA.
Original languageEnglish (US)
Title of host publicationOptics InfoBase Conference Papers
PublisherOptical Society of America (OSA)custserv@osa.org
ISBN (Print)9781557523082
DOIs
StatePublished - Jan 1 2014
Externally publishedYes

Bibliographical note

Generated from Scopus record by KAUST IRTS on 2021-02-09

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