{"id":"https://openalex.org/W2753557359","doi":"https://doi.org/10.23919/eusipco.2017.8081371","title":"A primal-dual line search method and applications in image processing","display_name":"A primal-dual line search method and applications in image processing","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2753557359","doi":"https://doi.org/10.23919/eusipco.2017.8081371","mag":"2753557359"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco.2017.8081371","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2017.8081371","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://lirias.kuleuven.be/handle/123456789/633253","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051529774","display_name":"Pantelis Sopasakis","orcid":"https://orcid.org/0000-0002-4584-2354"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Pantelis Sopasakis","raw_affiliation_strings":["KU Leuven, Dept. of Electrical Engineering (ESAT-STADIUS) & OPTEC, Leuven, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KU Leuven, Dept. of Electrical Engineering (ESAT-STADIUS) & OPTEC, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010064441","display_name":"Andreas Themelis","orcid":"https://orcid.org/0000-0002-6044-0169"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Andreas Themelis","raw_affiliation_strings":["KU Leuven, Dept. of Electrical Engineering (ESAT-STADIUS) & OPTEC, Leuven, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KU Leuven, Dept. of Electrical Engineering (ESAT-STADIUS) & OPTEC, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078854904","display_name":"Johan A. K. Suykens","orcid":"https://orcid.org/0000-0002-8846-6352"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Johan Suykens","raw_affiliation_strings":["KU Leuven, Dept. of Electrical Engineering (ESAT-STADIUS) & OPTEC, Leuven, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KU Leuven, Dept. of Electrical Engineering (ESAT-STADIUS) & OPTEC, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031380765","display_name":"Panagiotis Patrinos","orcid":"https://orcid.org/0000-0003-4824-7697"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Panagiotis Patrinos","raw_affiliation_strings":["KU Leuven, Dept. of Electrical Engineering (ESAT-STADIUS) & OPTEC, Leuven, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KU Leuven, Dept. of Electrical Engineering (ESAT-STADIUS) & OPTEC, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99464096"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"15","issue":null,"first_page":"1065","last_page":"1069"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T11205","display_name":"Numerical methods in inverse problems","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2610","display_name":"Mathematical Physics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9934999942779541,"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/computer-science","display_name":"Computer science","score":0.5191789865493774},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.5190652012825012},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5032300353050232},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5004494190216064},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.49523892998695374},{"id":"https://openalex.org/keywords/convex-function","display_name":"Convex function","score":0.4906424582004547},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.4891355335712433},{"id":"https://openalex.org/keywords/line-search","display_name":"Line search","score":0.4872497618198395},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4861704707145691},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4718620479106903},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.4322550594806671},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.413627952337265},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.4073582589626312},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35018396377563477},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20697498321533203}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5191789865493774},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.5190652012825012},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5032300353050232},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5004494190216064},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.49523892998695374},{"id":"https://openalex.org/C145446738","wikidata":"https://www.wikidata.org/wiki/Q319913","display_name":"Convex function","level":3,"score":0.4906424582004547},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.4891355335712433},{"id":"https://openalex.org/C85522705","wikidata":"https://www.wikidata.org/wiki/Q3278015","display_name":"Line search","level":3,"score":0.4872497618198395},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4861704707145691},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4718620479106903},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.4322550594806671},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.413627952337265},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.4073582589626312},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35018396377563477},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20697498321533203},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C178635117","wikidata":"https://www.wikidata.org/wiki/Q747499","display_name":"RADIUS","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.23919/eusipco.2017.8081371","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2017.8081371","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/633253","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/123456789/633253","pdf_url":null,"source":{"id":"https://openalex.org/S7407055369","display_name":"Lirias","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"European Signal Processing Conference 2017, GREECE, 2017","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:irdb.nii.ac.jp:01211:0005985738","is_oa":true,"landing_page_url":"https://hdl.handle.net/2324/4400017","pdf_url":"https://catalog.lib.kyushu-u.ac.jp/opac_download_md/4400017/4400017.pdf","source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2017 25th European Signal Processing Conference (EUSIPCO)","raw_type":"conference paper"},{"id":"pmh:oai:catalog.lib.kyushu-u.ac.jp:2324/4400017","is_oa":true,"landing_page_url":"http://hdl.handle.net/2324/4400017","pdf_url":null,"source":{"id":"https://openalex.org/S4306402148","display_name":"QIR (Kyushu University Institutional Repository) (Kyushu University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I135598925","host_organization_name":"Kyushu University","host_organization_lineage":["https://openalex.org/I135598925"],"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":"2076-1465","raw_type":"conference paper"},{"id":"pmh:oai:pure.qub.ac.uk/portal:publications/dc8bbec6-92f2-4735-9743-f84c57f02182","is_oa":false,"landing_page_url":"https://pure.qub.ac.uk/en/publications/dc8bbec6-92f2-4735-9743-f84c57f02182","pdf_url":null,"source":{"id":"https://openalex.org/S4306402319","display_name":"Research Portal (Queen's University Belfast)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I126231945","host_organization_name":"Queen's University Belfast","host_organization_lineage":["https://openalex.org/I126231945"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sopasakis, P, Themelis, A, Suykens, J & Patrinos, P 2017, A Primal-Dual Line Search Method and Applications in Image Processing. in European Signal Processing Conference (EUSIPCO). Kos, Greece.","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/633253","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/123456789/633253","pdf_url":null,"source":{"id":"https://openalex.org/S7407055369","display_name":"Lirias","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"European Signal Processing Conference 2017, GREECE, 2017","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W205960364","https://openalex.org/W1532777473","https://openalex.org/W1567995217","https://openalex.org/W1946620893","https://openalex.org/W2005089986","https://openalex.org/W2006262045","https://openalex.org/W2047884269","https://openalex.org/W2092663520","https://openalex.org/W2103559027","https://openalex.org/W2107059064","https://openalex.org/W2274862416","https://openalex.org/W2496276084","https://openalex.org/W2963171296","https://openalex.org/W2963367227","https://openalex.org/W2963959124","https://openalex.org/W3104069849","https://openalex.org/W4229650096","https://openalex.org/W4244393449","https://openalex.org/W4298202807"],"related_works":["https://openalex.org/W2120447654","https://openalex.org/W2977179488","https://openalex.org/W2144453115","https://openalex.org/W2128223750","https://openalex.org/W4238532390","https://openalex.org/W2188872161","https://openalex.org/W2961779879","https://openalex.org/W2510140549","https://openalex.org/W2187449906","https://openalex.org/W2962818859"],"abstract_inverted_index":{"Operator":[0],"splitting":[1,47],"algorithms":[2,28,48],"are":[3,29,49],"enjoying":[4],"wide":[5],"acceptance":[6],"in":[7],"signal":[8],"processing":[9],"for":[10,35],"their":[11,20,43],"ability":[12],"to":[13,24,51,68],"solve":[14],"generic":[15],"convex":[16],"optimization":[17],"problems":[18],"exploiting":[19],"structure":[21],"and":[22,54,70,95],"leading":[23],"efficient":[25],"implementations.":[26],"These":[27],"instances":[30],"of":[31,39,81,91,103],"the":[32,72,82,88,101,107],"Krasnosel'skil-Mann":[33],"scheme":[34],"finding":[36],"fixed":[37],"points":[38],"averaged":[40],"operators.":[41],"Despite":[42],"popularity,":[44],"however,":[45],"operator":[46],"sensitive":[50],"ill":[52],"conditioning":[53],"often":[55],"converge":[56],"slowly.":[57],"In":[58],"this":[59,92],"paper":[60],"we":[61,96],"propose":[62],"a":[63,78],"line":[64],"search":[65],"primal-dual":[66],"method":[67],"accelerate":[69],"robustify":[71],"Chambolle-Pock":[73],"algorithm":[74,94],"based":[75],"on":[76,100],"SuperMann:":[77],"recent":[79],"extension":[80],"Kras-nosel'skil-Mann":[83],"algorithmic":[84],"scheme.":[85],"We":[86],"discuss":[87],"convergence":[89],"properties":[90],"new":[93],"showcase":[97],"its":[98],"strengths":[99],"problem":[102],"image":[104],"denoising":[105],"using":[106],"anisotropic":[108],"total":[109],"variation":[110],"regularization.":[111]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}