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Compressive phase-only filtering at extreme compression rates

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cris.lastimport.scopus2024-02-12T20:21:41Z
dc.abstract.enWe introduce an efficient method for the reconstruction of the correlation between a compressively measured image and a phase-only filter. The proposed method is based on two properties of phase-only filtering: such filtering is a unitary circulant transform, and the correlation plane it produces is usually sparse. Thanks to these properties, phase-only filters are perfectly compatible with the framework of compressive sensing. Moreover, the lasso-based recovery algorithm is very fast when phase-only filtering is used as the compression matrix. The proposed method can be seen as a generalization of the correlation-based pattern recognition technique, which is hereby applied directly to non-adaptively acquired compressed data. At the time of measurement, any prior knowledge of the target object for which the data will be scanned is not required. We show that images measured at extremely high compression rates may still contain sufficient information for target classification and localization, even if the compression rate is high enough, that visual recognition of the target in the reconstructed image is no longer possible. The method has been applied by us to highly undersampled measurements obtained from a single-pixel camera, with sampling based on randomly chosen Walsh–Hadamard patterns.
dc.affiliationUniwersytet Warszawski
dc.contributor.authorPastuszczak, Anna
dc.contributor.authorCalle, David Pastor
dc.contributor.authorMikołajczyk, Michał
dc.contributor.authorKotyński, Rafał
dc.date.accessioned2024-01-24T19:52:30Z
dc.date.available2024-01-24T19:52:30Z
dc.date.issued2017
dc.description.financeNie dotyczy
dc.description.number383
dc.identifier.doi10.1016/J.OPTCOM.2016.09.024
dc.identifier.issn0030-4018
dc.identifier.urihttps://repozytorium.uw.edu.pl//handle/item/103466
dc.identifier.weblinkhttp://www.sciencedirect.com/science/article/pii/S0030401816307982
dc.languageeng
dc.pbn.affiliationphysical sciences
dc.relation.ispartofOptics Communications
dc.relation.pages446–452
dc.rightsClosedAccess
dc.sciencecloudnosend
dc.subject.enComputational imaging
dc.subject.enPhase-only filter
dc.subject.enSmashed filter
dc.subject.enSingle-pixel camera
dc.subject.enPattern recognition
dc.titleCompressive phase-only filtering at extreme compression rates
dc.typeJournalArticle
dspace.entity.typePublication