Compressed Sensing for Imaging Applications

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dc.contributor.advisorKelly, Kevin F.en_US
dc.contributor.committeeMemberBaraniuk, Richard G.en_US
dc.contributor.committeeMemberYin, Wotaoen_US
dc.creatorTakhar, Dharmpalen_US
dc.date.accessioned2014-08-08T22:00:29Zen_US
dc.date.available2014-08-08T22:00:29Zen_US
dc.date.issued2008en_US
dc.description.abstractCompressed sensing is a new sampling theory which allows reconstructing signals using sub-Nyquist measurements. This can significantly reduce the computation re­quired for both image and video whether during acquisition or encoding, especially at the sensor. Compressed sensing works on the assumption of sparsity of the sig­nal in some known domain, which is incoherent with the measurement domain. We exploit this technique to build a single pixel camera using an optical modulator and a single photosensor. Random projections of the signal (image) are applied to the optical modulator, which has a random matrix displayed on it corresponding to the measurement domain (random noise). This random projected signal is focused and summed at the photosensor and will be later used for reconstructing the signal. In this scheme, a tradeoff between the spatial extent of sampling array and a sequential sampling over time with a single detector is performed. In addition to the single sensor method, we will also demonstrate a new design which allows compressive im­en_US
dc.format.extent90 ppen_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationTakhar, Dharmpal. "Compressed Sensing for Imaging Applications." (2008) Diss., Rice University. <a href="https://hdl.handle.net/1911/76508">https://hdl.handle.net/1911/76508</a>.en_US
dc.identifier.digitalTakharDen_US
dc.identifier.urihttps://hdl.handle.net/1911/76508en_US
dc.language.isoengen_US
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.en_US
dc.subjectElectrical Engineeringen_US
dc.subjectComputer engineeringen_US
dc.titleCompressed Sensing for Imaging Applicationsen_US
dc.typeThesisen_US
dc.type.materialTexten_US
thesis.degree.departmentElectrical and Computer Engineeringen_US
thesis.degree.disciplineEngineeringen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelDoctoralen_US
thesis.degree.nameDoctor of Philosophyen_US
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