{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/91833"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/91833","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Tensor photography : exploring space of 4D modulations inside traditional camera designs","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.","abstract_html":"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.","abstract_has_math":false,"creators":["Marwah, Kshitij"],"institution":"Massachusetts Institute of Technology","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Program in Media Arts and Sciences (Massachusetts Institute of Technology)","school":null,"contributors":[],"advisors":["Ramesh Raskar."],"committee_chairs":[],"committee_members":[],"year":2013,"date_issued":"2013","date_published":"2013","updated_at":"2026-07-22T22:21:43Z","subjects":["Architecture. Program in Media Arts and Sciences."],"languages":["eng"],"rights":["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."],"rights_urls":["http://dspace.mit.edu/handle/1721.1/7582"],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/1721.1/91833","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Ramesh Raskar."]},{"key":"dc:contributor.department","label":"Department","values":["Program in Media Arts and Sciences (Massachusetts Institute of Technology)"]},{"key":"dc:contributor.other","label":"Dc Contributor Other","values":["Massachusetts Institute of Technology. Department of Architecture. 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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. 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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."],"dc:description.degree":["S.M."],"dc:identifier.uri":["http://hdl.handle.net/1721.1/91833"],"dc:language.iso":["eng"],"dc:publisher":["Massachusetts Institute of Technology"],"dc:rights":["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. 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