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dc.contributor.authorHeide, Felix
dc.contributor.authorXiao, Lei
dc.contributor.authorKolb, Andreas
dc.contributor.authorHullin, Matthias B.
dc.contributor.authorHeidrich, Wolfgang
dc.date.accessioned2015-06-07T21:59:06Z
dc.date.available2015-06-07T21:59:06Z
dc.date.issued2014-10-17
dc.identifier.citationImaging in scattering media using correlation image sensors and sparse convolutional coding 2014, 22 (21):26338 Optics Express
dc.identifier.issn1094-4087
dc.identifier.doi10.1364/OE.22.026338
dc.identifier.urihttp://hdl.handle.net/10754/556516
dc.description.abstractCorrelation image sensors have recently become popular low-cost devices for time-of-flight, or range cameras. They usually operate under the assumption of a single light path contributing to each pixel. We show that a more thorough analysis of the sensor data from correlation sensors can be used can be used to analyze the light transport in much more complex environments, including applications for imaging through scattering and turbid media. The key of our method is a new convolutional sparse coding approach for recovering transient (light-in-flight) images from correlation image sensors. This approach is enabled by an analysis of sparsity in complex transient images, and the derivation of a new physically-motivated model for transient images with drastically improved sparsity.
dc.publisherThe Optical Society
dc.relation.urlhttp://www.opticsinfobase.org/abstract.cfm?URI=oe-22-21-26338
dc.rightsThis paper was published in Optics Express and is made available as an electronic reprint with the permission of OSA. The paper can be found at the following URL on the OSA website: http://www.opticsinfobase.org/abstract.cfm?URI=oe-22-21-26338. Systematic or multiple reproduction or distribution to multiple locations via electronic or other means is prohibited and is subject to penalties under law.
dc.titleImaging in scattering media using correlation image sensors and sparse convolutional coding
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.institutionUniversity of British Columbia, 2329 W Mall, Vancouver, BC V6T 1Z4, Canada
dc.contributor.institutionUniversität Siegen, Hölderlinstraße 3, 57068 Siegen, Germany
dc.contributor.institutionUniversität Bonn, Regina-Pacis-Weg 3, 53113 Bonn, Germany
kaust.personHeidrich, Wolfgang
kaust.personHeide, Felix
kaust.personXiao, Lei
refterms.dateFOA2015-10-17T00:00:00Z


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