{"id":"https://openalex.org/W1998904117","doi":"https://doi.org/10.1109/icip.2010.5651917","title":"Instrument parameter estimation in bayesian convex deconvolution","display_name":"Instrument parameter estimation in bayesian convex deconvolution","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W1998904117","doi":"https://doi.org/10.1109/icip.2010.5651917","mag":"1998904117"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2010.5651917","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5651917","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-00546604","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020881280","display_name":"Fran\u00e7ois Orieux","orcid":"https://orcid.org/0000-0001-5638-3416"},"institutions":[{"id":"https://openalex.org/I102197404","display_name":"Universit\u00e9 Paris-Sud","ror":"https://ror.org/028rypz17","country_code":"FR","type":"education","lineage":["https://openalex.org/I102197404"]},{"id":"https://openalex.org/I102475099","display_name":"Sup\u00e9lec","ror":"https://ror.org/00n7gwn90","country_code":"FR","type":"education","lineage":["https://openalex.org/I102475099"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210097418","display_name":"Laboratoire des signaux et syst\u00e8mes","ror":"https://ror.org/00skw9v43","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I277688954","https://openalex.org/I277688954","https://openalex.org/I4210097418","https://openalex.org/I4210107720"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"F. Orieux","raw_affiliation_strings":["Laboratoire des Signaux et Syst\u00e9mes, CNRS-Supelec, University of Paris-Sud 11, Gif-sur-Yvette, France","L2S - Laboratoire des signaux et syst\u00e8mes (Plateau de Moulon 3 rue Joliot Curie 91192 GIF SUR YVETTE CEDEX - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire des Signaux et Syst\u00e9mes, CNRS-Supelec, University of Paris-Sud 11, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I102197404","https://openalex.org/I102475099","https://openalex.org/I1294671590","https://openalex.org/I4210097418"]},{"raw_affiliation_string":"L2S - Laboratoire des signaux et syst\u00e8mes (Plateau de Moulon 3 rue Joliot Curie 91192 GIF SUR YVETTE CEDEX - France)","institution_ids":["https://openalex.org/I4210097418"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039649943","display_name":"Thomas Rodet","orcid":"https://orcid.org/0000-0003-0473-9390"},"institutions":[{"id":"https://openalex.org/I102197404","display_name":"Universit\u00e9 Paris-Sud","ror":"https://ror.org/028rypz17","country_code":"FR","type":"education","lineage":["https://openalex.org/I102197404"]},{"id":"https://openalex.org/I102475099","display_name":"Sup\u00e9lec","ror":"https://ror.org/00n7gwn90","country_code":"FR","type":"education","lineage":["https://openalex.org/I102475099"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210097418","display_name":"Laboratoire des signaux et syst\u00e8mes","ror":"https://ror.org/00skw9v43","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I277688954","https://openalex.org/I277688954","https://openalex.org/I4210097418","https://openalex.org/I4210107720"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"T. Rodet","raw_affiliation_strings":["Laboratoire des Signaux et Syst\u00e9mes, CNRS-Supelec, University of Paris-Sud 11, Gif-sur-Yvette, France","L2S - Laboratoire des signaux et syst\u00e8mes (Plateau de Moulon 3 rue Joliot Curie 91192 GIF SUR YVETTE CEDEX - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire des Signaux et Syst\u00e9mes, CNRS-Supelec, University of Paris-Sud 11, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I102197404","https://openalex.org/I102475099","https://openalex.org/I1294671590","https://openalex.org/I4210097418"]},{"raw_affiliation_string":"L2S - Laboratoire des signaux et syst\u00e8mes (Plateau de Moulon 3 rue Joliot Curie 91192 GIF SUR YVETTE CEDEX - France)","institution_ids":["https://openalex.org/I4210097418"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091811958","display_name":"Jean\u2010Fran\u00e7ois Giovannelli","orcid":"https://orcid.org/0000-0002-0372-9329"},"institutions":[{"id":"https://openalex.org/I15057530","display_name":"Universit\u00e9 de Bordeaux","ror":"https://ror.org/057qpr032","country_code":"FR","type":"education","lineage":["https://openalex.org/I15057530"]},{"id":"https://openalex.org/I4210097418","display_name":"Laboratoire des signaux et syst\u00e8mes","ror":"https://ror.org/00skw9v43","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I277688954","https://openalex.org/I277688954","https://openalex.org/I4210097418","https://openalex.org/I4210107720"]},{"id":"https://openalex.org/I4210157089","display_name":"Laboratoire de l'Int\u00e9gration du Mat\u00e9riau au Syst\u00e8me","ror":"https://ror.org/04nabhy78","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I15057530","https://openalex.org/I4210091158","https://openalex.org/I4210095849","https://openalex.org/I4210157089","https://openalex.org/I4210160189"]},{"id":"https://openalex.org/I4210160189","display_name":"Institut Polytechnique de Bordeaux","ror":"https://ror.org/054qv7y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210160189"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"J.-F. Giovannelli","raw_affiliation_strings":["Laboratoire d'Int\u00e9gration du Mat\u00e9riau au Syst\u00e9me, \u00c9quipe Signal-Image, Universit\u00e9 de Bordeaux 1, Talence, France","IMS - Laboratoire de l'int\u00e9gration, du mat\u00e9riau au syst\u00e8me (33405 TALENCE CEDEX - France)","L2S - Laboratoire des signaux et syst\u00e8mes (Plateau de Moulon 3 rue Joliot Curie 91192 GIF SUR YVETTE CEDEX - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire d'Int\u00e9gration du Mat\u00e9riau au Syst\u00e9me, \u00c9quipe Signal-Image, Universit\u00e9 de Bordeaux 1, Talence, France","institution_ids":["https://openalex.org/I15057530","https://openalex.org/I4210157089"]},{"raw_affiliation_string":"IMS - Laboratoire de l'int\u00e9gration, du mat\u00e9riau au syst\u00e8me (33405 TALENCE CEDEX - France)","institution_ids":["https://openalex.org/I4210157089","https://openalex.org/I4210160189"]},{"raw_affiliation_string":"L2S - Laboratoire des signaux et syst\u00e8mes (Plateau de Moulon 3 rue Joliot Curie 91192 GIF SUR YVETTE CEDEX - France)","institution_ids":["https://openalex.org/I4210097418"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11207862,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"1161","last_page":"1164"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9868000149726868,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.984000027179718,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.85555100440979},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.7808672189712524},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.6482198238372803},{"id":"https://openalex.org/keywords/blind-deconvolution","display_name":"Blind deconvolution","score":0.6465545892715454},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.6195535659790039},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5327575206756592},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5028330683708191},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5014185905456543},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.494718998670578},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.48830556869506836},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47222092747688293},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.41775065660476685},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3847764730453491},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32940417528152466},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17707759141921997}],"concepts":[{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.85555100440979},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.7808672189712524},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.6482198238372803},{"id":"https://openalex.org/C30044814","wikidata":"https://www.wikidata.org/wiki/Q11334452","display_name":"Blind deconvolution","level":3,"score":0.6465545892715454},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.6195535659790039},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5327575206756592},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5028330683708191},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5014185905456543},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.494718998670578},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.48830556869506836},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47222092747688293},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.41775065660476685},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3847764730453491},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32940417528152466},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17707759141921997},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2010.5651917","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5651917","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-00546604v1","is_oa":true,"landing_page_url":"https://hal.science/hal-00546604","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE International Conference on Image Processing (ICIP), Sep 2010, Hong Kong, Hong Kong SAR China. pp.1161 - 1164, &#x27E8;10.1109/ICIP.2010.5651917&#x27E9;","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-00546604v1","is_oa":true,"landing_page_url":"https://hal.science/hal-00546604","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE International Conference on Image Processing (ICIP), Sep 2010, Hong Kong, Hong Kong SAR China. pp.1161 - 1164, &#x27E8;10.1109/ICIP.2010.5651917&#x27E9;","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.699999988079071,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W130710483","https://openalex.org/W584962943","https://openalex.org/W1985093013","https://openalex.org/W2116617417","https://openalex.org/W2128428741","https://openalex.org/W2134866593","https://openalex.org/W2135137263","https://openalex.org/W2164990543","https://openalex.org/W2481117512","https://openalex.org/W2798449144","https://openalex.org/W4290044043","https://openalex.org/W4292403327","https://openalex.org/W6684481372"],"related_works":["https://openalex.org/W2034520358","https://openalex.org/W2028099218","https://openalex.org/W2059639161","https://openalex.org/W2586325539","https://openalex.org/W2058895457","https://openalex.org/W1538056422","https://openalex.org/W2029084792","https://openalex.org/W2023738877","https://openalex.org/W2147401053","https://openalex.org/W2589098082"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,30,36,51,53,77,87],"Bayesian":[4],"approach":[5],"for":[6,56],"estimation":[7,43],"of":[8,17,68,76,101],"instrument":[9,19],"parameter":[10],"in":[11,65,90],"convex":[12,38],"image":[13,27],"deconvolution.":[14],"The":[15,46,61,82],"parameters":[16,58],"the":[18,26,66,69,99,102],"response":[20],"(PSF)":[21],"are":[22,95],"jointly":[23],"estimated":[24],"with":[25,86],"leading":[28],"to":[29,97],"myopic":[31],"deconvolution":[32],"approach.":[33,104],"In":[34],"addition":[35],"special":[37],"field":[39],"allowing":[40],"efficient":[41,85],"hyperparameter":[42],"is":[44,48,63,84],"used.":[45],"solution":[47],"based":[49],"on":[50],"global":[52],"posteriori":[54],"law":[55],"unknown":[57],"and":[59],"object.":[60],"estimate":[62],"chosen":[64],"sense":[67],"posterior":[70],"mean,":[71],"numerically":[72],"calculated":[73],"by":[74],"means":[75],"Monte-Carlo":[78],"Markov":[79],"chain":[80],"algorithm.":[81],"computation":[83],"partial":[88],"implementation":[89],"Fourier":[91],"space.":[92],"Simulation":[93],"results":[94],"provided":[96],"assess":[98],"effectiveness":[100],"proposed":[103]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
