Imaging in scattering media using correlation image sensors and sparse convolutional coding

Handle URI:
http://hdl.handle.net/10754/556516
Title:
Imaging in scattering media using correlation image sensors and sparse convolutional coding
Authors:
Heide, Felix; Xiao, Lei; Kolb, Andreas; Hullin, Matthias B.; Heidrich, Wolfgang ( 0000-0002-4227-8508 )
Abstract:
Correlation 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.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Citation:
Imaging in scattering media using correlation image sensors and sparse convolutional coding 2014, 22 (21):26338 Optics Express
Journal:
Optics Express
Issue Date:
17-Oct-2014
DOI:
10.1364/OE.22.026338
Type:
Article
ISSN:
1094-4087
Additional Links:
http://www.opticsinfobase.org/abstract.cfm?URI=oe-22-21-26338
Appears in Collections:
Articles; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorHeide, Felixen
dc.contributor.authorXiao, Leien
dc.contributor.authorKolb, Andreasen
dc.contributor.authorHullin, Matthias B.en
dc.contributor.authorHeidrich, Wolfgangen
dc.date.accessioned2015-06-07T21:59:06Zen
dc.date.available2015-06-07T21:59:06Zen
dc.date.issued2014-10-17en
dc.identifier.citationImaging in scattering media using correlation image sensors and sparse convolutional coding 2014, 22 (21):26338 Optics Expressen
dc.identifier.issn1094-4087en
dc.identifier.doi10.1364/OE.22.026338en
dc.identifier.urihttp://hdl.handle.net/10754/556516en
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.en
dc.relation.urlhttp://www.opticsinfobase.org/abstract.cfm?URI=oe-22-21-26338en
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.en
dc.titleImaging in scattering media using correlation image sensors and sparse convolutional codingen
dc.typeArticleen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journalOptics Expressen
dc.eprint.versionPost-printen
dc.contributor.institutionUniversity of British Columbia, 2329 W Mall, Vancouver, BC V6T 1Z4, Canadaen
dc.contributor.institutionUniversität Siegen, Hölderlinstraße 3, 57068 Siegen, Germanyen
dc.contributor.institutionUniversität Bonn, Regina-Pacis-Weg 3, 53113 Bonn, Germanyen
kaust.authorHeidrich, Wolfgangen
kaust.authorHeide, Felixen
kaust.authorXiao, Leien
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