<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-19T15:01:56Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/91833" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/91833</identifier><datestamp>2022-01-18T16:24:01Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Ramesh Raskar.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Marwah, Kshitij</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Department of Architecture. Program in Media Arts and Sciences.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Program in Media Arts and Sciences (Massachusetts Institute of Technology)</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2014-11-24T18:38:28Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2014-11-24T18:38:28Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2013</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2013</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/91833</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">894232663</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2013.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">62</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages 95-99).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Light field photography has gained a significant research in the last two decades: today, commercial light field cameras are widely available demonstrating capabilities such as post-capture refocus, 3D photography and view point changes. But, most traditional acquisition approaches either multiplex a low resolution light field into a single sensor image or require multiple photographs to be taken for acquiring high resolution light field. In this thesis, we design, implement and analyze a new light field camera architecture that allows capture and reconstruction of higher resolution light fields in a single shot. The proposed architecture comprises three key components: light field atoms as sparse representation of natural light fields, an optical design to allow capture of optimized 2D light field projections and robust sparse reconstruction methods to recover a 4D light field from a single coded 2D projection. In addition we also explore other applications including compressive focal stack reconstructions, light field compression and denoising.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Kshitij Marwah.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">99 pages</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Architecture. Program in Media Arts and Sciences.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Tensor photography : exploring space of 4D modulations inside traditional camera designs</dim:field>
   <dim:field mdschema="dc" element="title" qualifier="alternative" lang="en_US">Exploring space of four dimensional modulations inside traditional camera designs</dim:field>
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   	&lt;Title>Tensor photography : exploring space of 4D modulations inside traditional camera designs&lt;/Title>
   	&lt;Subtitle>Exploring space of four dimensional modulations inside traditional camera designs&lt;/Subtitle>
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   	&lt;PublicationDate>2013&lt;/PublicationDate>
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        	&lt;DisplayName>Marwah, Kshitij&lt;/DisplayName>
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    &lt;Keyword>Architecture. Program in Media Arts and Sciences.&lt;/Keyword>
   	&lt;Abstract>Light field photography has gained a significant research in the last two decades: today, commercial light field cameras are widely available demonstrating capabilities such as post-capture refocus, 3D photography and view point changes. But, most traditional acquisition approaches either multiplex a low resolution light field into a single sensor image or require multiple photographs to be taken for acquiring high resolution light field. In this thesis, we design, implement and analyze a new light field camera architecture that allows capture and reconstruction of higher resolution light fields in a single shot. The proposed architecture comprises three key components: light field atoms as sparse representation of natural light fields, an optical design to allow capture of optimized 2D light field projections and robust sparse reconstruction methods to recover a 4D light field from a single coded 2D projection. In addition we also explore other applications including compressive focal stack reconstructions, light field compression and denoising.&lt;/Abstract>
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