<?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>2026-09-18T18:21:12Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/45814" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/45814</identifier><datestamp>2022-01-13T07:54:29Z</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">Fredo Durand.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Baek, Jongmin</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2009-06-30T16:21:27Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2009-06-30T16:21:27Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2008</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2008</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/45814</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">319178245</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (p. 87-89).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">This thesis describes the multi-channel coded-aperture photography, a modified camera system that can extract an all-focus image of the scene along with a depth estimate over the scene. The modification consists of inserting a set of patterned color filters into the aperture of the camera lens. This work generalizes the previous research on a single-channel coded aperture, by deploying distinct filters in the three primary color channels, in order to cope better with the effect of a Bayer filter and to exploit the correlation among the channels. We derive the model and algorithms for the multi-channel coded aperture, comparing the simulated performance of the reconstruction algorithm against that of the original single-channel coded aperture. We also demonstrate a physical prototype, discussing the challenges arising from the use of multiple filters. We provide a comparison with the single-channel coded aperture in performance, and present results on several scenes of cluttered objects at various depths.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Jongmin Baek.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">M.Eng.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">113 p.</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 
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   <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">Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Multi-channel coded-aperture photography</dim:field>
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   	&lt;Title>Multi-channel coded-aperture photography&lt;/Title>
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   	&lt;PublicationDate>2008&lt;/PublicationDate>
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    &lt;Keyword>Electrical Engineering and Computer Science.&lt;/Keyword>
   	&lt;Abstract>This thesis describes the multi-channel coded-aperture photography, a modified camera system that can extract an all-focus image of the scene along with a depth estimate over the scene. The modification consists of inserting a set of patterned color filters into the aperture of the camera lens. This work generalizes the previous research on a single-channel coded aperture, by deploying distinct filters in the three primary color channels, in order to cope better with the effect of a Bayer filter and to exploit the correlation among the channels. We derive the model and algorithms for the multi-channel coded aperture, comparing the simulated performance of the reconstruction algorithm against that of the original single-channel coded aperture. We also demonstrate a physical prototype, discussing the challenges arising from the use of multiple filters. We provide a comparison with the single-channel coded aperture in performance, and present results on several scenes of cluttered objects at various depths.&lt;/Abstract>
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