{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/110738"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/110738","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Analysis of signal-to-noise ratio of angle and degree of linear polarization in division of focal plane polarimeter","abstract":"Recent advancement in nanofabrication technology has led to commercialization of single-chip polarization and color-polarization imaging sensors in the visible spectrum. Novel applications have arisen with the emergence of these sensors leading to questions about noise in the reconstructed polarization images. In this thesis, we provide theoretical analysis for the input and output referred noise for the angle and degree of linear polarization information. We validated our theoretical model with experimental data collected from a division of focal plane polarization sensors. Our data indicates that the noise in the angle of polarization images depends on both incident light intensity and degree of polarization and is independent of the incident angle of polarization. However, noise in degree of linear polarization images depends on all three parameters: incident light intensity, angle of polarization, and degree of polarization. This theoretical model can help guide the development of imaging setups to record optimal polarization information.","abstract_html":"Recent advancement in nanofabrication technology has led to commercialization of single-chip polarization and color-polarization imaging sensors in the visible spectrum. Novel applications have arisen with the emergence of these sensors leading to questions about noise in the reconstructed polarization images. In this thesis, we provide theoretical analysis for the input and output referred noise for the angle and degree of linear polarization information. We validated our theoretical model with experimental data collected from a division of focal plane polarization sensors. Our data indicates that the noise in the angle of polarization images depends on both incident light intensity and degree of polarization and is independent of the incident angle of polarization. However, noise in degree of linear polarization images depends on all three parameters: incident light intensity, angle of polarization, and degree of polarization. This theoretical model can help guide the development of imaging setups to record optimal polarization information.","abstract_has_math":false,"creators":["Chen, Yingkai"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Electrical & Computer Engr","degree_department":null,"school":null,"contributors":["Gruev, Viktor"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2021,"date_issued":"2021-09-17T02:34:47Z","date_published":"2021-09-17T02:34:47Z","updated_at":"2026-07-22T22:24:52Z","subjects":["Signal-to-noise ratio","angle of polarization","degree of polarization"],"languages":["en"],"rights":["Copyright 2021 Yingkai Chen"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/110738","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Gruev, Viktor"]},{"key":"dc:creator","label":"Author","values":["Chen, Yingkai"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2021-09-17T02:34:47Z","2023-09-17T02:34:57Z","2021-04-27","2021-05"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical & Computer Engr"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Signal-to-noise ratio","angle of polarization","degree of polarization"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2021 Yingkai Chen"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/110738"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Recent advancement in nanofabrication technology has led to commercialization of single-chip polarization and color-polarization imaging sensors in the visible spectrum. Novel applications have arisen with the emergence of these sensors leading to questions about noise in the reconstructed polarization images. In this thesis, we provide theoretical analysis for the input and output referred noise for the angle and degree of linear polarization information. We validated our theoretical model with experimental data collected from a division of focal plane polarization sensors. Our data indicates that the noise in the angle of polarization images depends on both incident light intensity and degree of polarization and is independent of the incident angle of polarization. However, noise in degree of linear polarization images depends on all three parameters: incident light intensity, angle of polarization, and degree of polarization. This theoretical model can help guide the development of imaging setups to record optimal polarization information.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2023-05-01","The student, Yingkai Chen, accepted the attached license on 2021-04-23 at 19:41.","The student, Yingkai Chen, submitted this Thesis for approval on 2021-04-23 at 19:54.","This Thesis was approved for publication on 2021-04-27 at 09:27.","DSpace SAF Submission Ingestion Package generated from Vireo submission #16541 on 2021-09-16 at 17:05:10","Made available in DSpace on 2021-09-17T02:34:47Z (GMT). No. of bitstreams: 2 CHEN-THESIS-2021.pdf: 1592439 bytes, checksum: 35003ab946c25af9da6bd57a5439d53e (MD5) LICENSE.txt: 4209 bytes, checksum: 7aa6139fd1647ef8b6b4047e6ec69afd (MD5) Previous issue date: 2021-04-27","Embargo set by: Seth Robbins for item 118581 Lift date: 2023-09-17T02:34:57Z Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system","U of I Only"]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Analysis of signal-to-noise ratio of angle and degree of linear polarization in division of focal plane polarimeter"]}]}],"canonical_facts":{"dc:contributor":["Gruev, Viktor"],"dc:creator":["Chen, Yingkai"],"dc:date":["2021-09-17T02:34:47Z","2023-09-17T02:34:57Z","2021-04-27","2021-05"],"dc:description":["Recent advancement in nanofabrication technology has led to commercialization of single-chip polarization and color-polarization imaging sensors in the visible spectrum. Novel applications have arisen with the emergence of these sensors leading to questions about noise in the reconstructed polarization images. In this thesis, we provide theoretical analysis for the input and output referred noise for the angle and degree of linear polarization information. We validated our theoretical model with experimental data collected from a division of focal plane polarization sensors. Our data indicates that the noise in the angle of polarization images depends on both incident light intensity and degree of polarization and is independent of the incident angle of polarization. However, noise in degree of linear polarization images depends on all three parameters: incident light intensity, angle of polarization, and degree of polarization. This theoretical model can help guide the development of imaging setups to record optimal polarization information.","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2023-05-01","The student, Yingkai Chen, accepted the attached license on 2021-04-23 at 19:41.","The student, Yingkai Chen, submitted this Thesis for approval on 2021-04-23 at 19:54.","This Thesis was approved for publication on 2021-04-27 at 09:27.","DSpace SAF Submission Ingestion Package generated from Vireo submission #16541 on 2021-09-16 at 17:05:10","Made available in DSpace on 2021-09-17T02:34:47Z (GMT). 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