On-the-fly compressive single-pixel foveation using the STOne transform

dc.citation.firstpage19524en_US
dc.citation.issueNumber11en_US
dc.citation.journalTitleOptics Expressen_US
dc.citation.lastpage19532en_US
dc.citation.volumeNumber30en_US
dc.contributor.authorGiljum, Anthony T.en_US
dc.contributor.authorGiljum, Anthony T.en_US
dc.contributor.authorKelly, Kevin F.en_US
dc.date.accessioned2022-06-08T15:58:54Zen_US
dc.date.available2022-06-08T15:58:54Zen_US
dc.date.issued2022en_US
dc.description.abstractCompressive imaging allows one to sample an image below the Nyquist rate yet still accurately recover it from the measurements by solving an L1 optimization problem. The L1 solvers, however, are iterative and can require significant time to reconstruct the original signal. Intuitively, the reconstruction time can be reduced by reconstructing fewer total pixels. The human eye reduces the total amount of data it processes by having a spatially varying resolution, a method called foveation. In this work, we use foveation to achieve a 4x improvement in L1 compressive sensing reconstruction speed for hyperspectral images and video. Unlike previous works, the presented technique allows the high-resolution region to be placed anywhere in the scene after the subsampled measurements have been acquired, has no moving parts, and is entirely non-adaptive.en_US
dc.identifier.citationGiljum, Anthony T., Giljum, Anthony T. and Kelly, Kevin F.. "On-the-fly compressive single-pixel foveation using the STOne transform." <i>Optics Express,</i> 30, no. 11 (2022) Optica Publishing Group: 19524-19532. https://doi.org/10.1364/OE.452160.en_US
dc.identifier.digitaloe-30-11-19524en_US
dc.identifier.doihttps://doi.org/10.1364/OE.452160en_US
dc.identifier.urihttps://hdl.handle.net/1911/112455en_US
dc.language.isoengen_US
dc.publisherOptica Publishing Groupen_US
dc.rightsPublished under the terms of the Optica Open Access Publishing Agreementen_US
dc.rights.urihttps://opg.optica.org/library/license_v2.cfm#VOR-OAen_US
dc.titleOn-the-fly compressive single-pixel foveation using the STOne transformen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpublisher versionen_US
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