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dc.contributor.authorPeng, Yifan
dc.contributor.authorFu, Qiang
dc.contributor.authorAmata, Hadi
dc.contributor.authorSu, Shuochen
dc.contributor.authorHeide, Felix
dc.contributor.authorHeidrich, Wolfgang
dc.date.accessioned2015-12-01T12:33:32Z
dc.date.available2015-12-01T12:33:32Z
dc.date.issued2015-11-23
dc.identifier.citationComputational imaging using lightweight diffractive-refractive optics 2015, 23 (24):31393 Optics Express
dc.identifier.issn1094-4087
dc.identifier.doi10.1364/OE.23.031393
dc.identifier.urihttp://hdl.handle.net/10754/583044
dc.description.abstractDiffractive optical elements (DOE) show great promise for imaging optics that are thinner and more lightweight than conventional refractive lenses while preserving their light efficiency. Unfortunately, severe spectral dispersion currently limits the use of DOEs in consumer-level lens design. In this article, we jointly design lightweight diffractive-refractive optics and post-processing algorithms to enable imaging under white light illumination. Using the Fresnel lens as a general platform, we show three phase-plate designs, including a super-thin stacked plate design, a diffractive-refractive-hybrid lens, and a phase coded-aperture lens. Combined with cross-channel deconvolution algorithm, both spherical and chromatic aberrations are corrected. Experimental results indicate that using our computational imaging approach, diffractive-refractive optics is an alternative candidate to build light efficient and thin optics for white light imaging.
dc.language.isoen
dc.publisherThe Optical Society
dc.relation.urlhttps://www.osapublishing.org/abstract.cfm?URI=oe-23-24-31393
dc.rightsArchived with thanks to Optics Express
dc.titleComputational imaging using lightweight diffractive-refractive optics
dc.typeArticle
dc.contributor.departmentComputer Science Program
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentVisual Computing Center (VCC)
dc.identifier.journalOptics Express
dc.eprint.versionPost-print
dc.contributor.institutionDepartment of Computer Science, University of British Columbia, Vancouver, BC, Canada
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)
kaust.personPeng, Yifan
kaust.personFu, Qiang
kaust.personAmata, Hadi
kaust.personSu, Shuochen
kaust.personHeide, Felix
kaust.personHeidrich, Wolfgang
refterms.dateFOA2018-06-13T11:43:54Z
dc.date.published-online2015-11-23
dc.date.published-print2015-11-30


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