Data-Driven Computational Imaging with Applications to Imaging Through and Around Obstacles

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dc.contributor.advisorBaraniuk, Richard G.
dc.contributor.committeeMemberVeeraraghavan, Ashok
dc.creatorMetzler, Chris A
dc.date.accessioned2019-05-17T18:27:01Z
dc.date.available2019-11-01T05:01:18Z
dc.date.created2019-05
dc.date.issued2019-01-11
dc.date.submittedMay 2019
dc.date.updated2019-05-17T18:27:01Z
dc.description.abstractThis thesis takes a data-driven approach to two of the foremost problems in optics; imaging through scattering media and imaging around corners using visible light.
dc.embargo.terms2019-11-01
dc.format.mimetypeapplication/pdf
dc.identifier.citationMetzler, Chris A. "Data-Driven Computational Imaging with Applications to Imaging Through and Around Obstacles." (2019) Diss., Rice University. <a href="https://hdl.handle.net/1911/105923">https://hdl.handle.net/1911/105923</a>.
dc.identifier.urihttps://hdl.handle.net/1911/105923
dc.language.isoeng
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.
dc.subjectScattering
dc.subjectNon-line-of-sight
dc.subjectImaging
dc.subjectPhase Retrieval
dc.subjectCorrelography
dc.titleData-Driven Computational Imaging with Applications to Imaging Through and Around Obstacles
dc.typeThesis
dc.type.materialText
thesis.degree.departmentElectrical and Computer Engineering
thesis.degree.disciplineEngineering
thesis.degree.grantorRice University
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy
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