{"id":"https://openalex.org/W2206431001","doi":"https://doi.org/10.1109/eusipco.2015.7362378","title":"Application of cyclic block generalized gradient projection methods to poisson blind deconvolution","display_name":"Application of cyclic block generalized gradient projection methods to poisson blind deconvolution","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2206431001","doi":"https://doi.org/10.1109/eusipco.2015.7362378","mag":"2206431001"},"language":"en","primary_location":{"id":"doi:10.1109/eusipco.2015.7362378","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2015.7362378","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23rd European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/11380/1073401","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006606154","display_name":"Simone Rebegoldi","orcid":"https://orcid.org/0000-0002-1232-5481"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. Rebegoldi","raw_affiliation_strings":["Dipartimento di Scienze Fisiche, Informatiche e Matematiche, Modena, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Scienze Fisiche, Informatiche e Matematiche, Modena, Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005747047","display_name":"Silvia Bonettini","orcid":"https://orcid.org/0000-0003-2936-365X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. Bonettini","raw_affiliation_strings":["Dipartimento di Scienze Fisiche, Informatiche e Matematiche, Modena, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Scienze Fisiche, Informatiche e Matematiche, Modena, Italy","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024279313","display_name":"Marco Prato","orcid":"https://orcid.org/0000-0002-7327-3347"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M. Prato","raw_affiliation_strings":["Dipartimento di Scienze Fisiche, Informatiche e Matematiche, Modena, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Scienze Fisiche, Informatiche e Matematiche, Modena, Italy","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3232,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61992735,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"225","last_page":"229"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9979000091552734,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9973000288009644,"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/projection","display_name":"Projection (relational algebra)","score":0.6861178874969482},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6249402165412903},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.5672594308853149},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.529246985912323},{"id":"https://openalex.org/keywords/blind-deconvolution","display_name":"Blind deconvolution","score":0.47944989800453186},{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.47636958956718445},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.47301793098449707},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4642653465270996},{"id":"https://openalex.org/keywords/proximal-gradient-methods","display_name":"Proximal Gradient Methods","score":0.4425268769264221},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43385568261146545},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4186045527458191},{"id":"https://openalex.org/keywords/euclidean-space","display_name":"Euclidean space","score":0.41823020577430725},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.40955954790115356},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3180481493473053},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2122437059879303},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.18157565593719482},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.1449802815914154},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10795646905899048},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.0749063789844513}],"concepts":[{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.6861178874969482},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6249402165412903},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.5672594308853149},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.529246985912323},{"id":"https://openalex.org/C30044814","wikidata":"https://www.wikidata.org/wiki/Q11334452","display_name":"Blind deconvolution","level":3,"score":0.47944989800453186},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.47636958956718445},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.47301793098449707},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4642653465270996},{"id":"https://openalex.org/C10494615","wikidata":"https://www.wikidata.org/wiki/Q17086765","display_name":"Proximal Gradient Methods","level":4,"score":0.4425268769264221},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43385568261146545},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4186045527458191},{"id":"https://openalex.org/C186450821","wikidata":"https://www.wikidata.org/wiki/Q17295","display_name":"Euclidean space","level":2,"score":0.41823020577430725},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.40955954790115356},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3180481493473053},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2122437059879303},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.18157565593719482},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.1449802815914154},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10795646905899048},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0749063789844513},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/eusipco.2015.7362378","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2015.7362378","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 23rd European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},{"id":"pmh:oai:flore.unifi.it:2158/1188720","is_oa":false,"landing_page_url":"https://hdl.handle.net/2158/1188720","pdf_url":null,"source":{"id":"https://openalex.org/S4306402033","display_name":"Florence Research (University of Florence)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45084792","host_organization_name":"University of Florence","host_organization_lineage":["https://openalex.org/I45084792"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:flore.unifi.it:2158/1188720.4","is_oa":false,"landing_page_url":"http://hdl.handle.net/2158/1188720","pdf_url":null,"source":{"id":"https://openalex.org/S4306402033","display_name":"Florence Research (University of Florence)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45084792","host_organization_name":"University of Florence","host_organization_lineage":["https://openalex.org/I45084792"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:iris.unife.it:11392/2337832","is_oa":false,"landing_page_url":"http://hdl.handle.net/11392/2337832","pdf_url":null,"source":{"id":"https://openalex.org/S4306400369","display_name":"Institutional Research Information System University of Ferrara (University of Ferrara)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I201324441","host_organization_name":"University of Ferrara","host_organization_lineage":["https://openalex.org/I201324441"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:iris.unimore.it:11380/1073401","is_oa":true,"landing_page_url":"http://hdl.handle.net/11380/1073401","pdf_url":null,"source":{"id":"https://openalex.org/S4306400718","display_name":"IRIS UNIMORE (University of Modena and Reggio Emilia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I122346577","host_organization_name":"University of Modena and Reggio Emilia","host_organization_lineage":["https://openalex.org/I122346577"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:iris.unimore.it:11380/1073401","is_oa":true,"landing_page_url":"http://hdl.handle.net/11380/1073401","pdf_url":null,"source":{"id":"https://openalex.org/S4306400718","display_name":"IRIS UNIMORE (University of Modena and Reggio Emilia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I122346577","host_organization_name":"University of Modena and Reggio Emilia","host_organization_lineage":["https://openalex.org/I122346577"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1964151099","https://openalex.org/W1994744421","https://openalex.org/W2000218110","https://openalex.org/W2004160833","https://openalex.org/W2004580901","https://openalex.org/W2014421268","https://openalex.org/W2015131139","https://openalex.org/W2027982384","https://openalex.org/W2034734013","https://openalex.org/W2039091494","https://openalex.org/W2082639035","https://openalex.org/W2089559088","https://openalex.org/W2116139820","https://openalex.org/W2124471967","https://openalex.org/W2138616240","https://openalex.org/W2141390467","https://openalex.org/W2145412226","https://openalex.org/W2147011436","https://openalex.org/W2165594334","https://openalex.org/W2165827549","https://openalex.org/W2259139337","https://openalex.org/W3098414497","https://openalex.org/W3099945912","https://openalex.org/W3100866641","https://openalex.org/W3101830784","https://openalex.org/W3125168830","https://openalex.org/W4254313632","https://openalex.org/W6681554554","https://openalex.org/W6684175519","https://openalex.org/W6692017308"],"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":{"The":[0,41],"aim":[1],"of":[2,10,43,47,70,92,101],"this":[3,74],"paper":[4],"is":[5,32],"to":[6,35,73],"consider":[7],"a":[8,11,36,77],"modification":[9],"block":[12],"coordinate":[13],"gradient":[14,62],"projection":[15,27,94],"method":[16],"with":[17],"Armijo":[18],"linesearch":[19],"along":[20],"the":[21,26,29,44,48,60,90,93,98,102],"descent":[22],"direction":[23],"in":[24],"which":[25],"on":[28,59,76,97],"feasible":[30],"set":[31],"performed":[33],"according":[34],"variable":[37],"non":[38],"Euclidean":[39],"metric.":[40],"stationarity":[42],"limit":[45],"points":[46],"resulting":[49],"scheme":[50],"has":[51],"recently":[52],"been":[53],"proved":[54],"under":[55],"some":[56,68],"general":[57],"assumptions":[58],"generalized":[61],"projections":[63],"employed.":[64],"Here":[65],"we":[66,88],"tested":[67],"examples":[69],"methods":[71],"belonging":[72],"class":[75],"blind":[78],"deconvolution":[79],"problem":[80],"from":[81],"data":[82],"affected":[83],"by":[84],"Poisson":[85],"noise,":[86],"and":[87],"illustrate":[89],"impact":[91],"operator":[95],"choice":[96],"practical":[99],"performances":[100],"corresponding":[103],"algorithm.":[104]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2016-06-24T00:00:00"}
