{"id":"https://openalex.org/W2039940482","doi":"https://doi.org/10.1109/icip.2014.7025983","title":"Adaptive color transfer with relaxed optimal transport","display_name":"Adaptive color transfer with relaxed optimal transport","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2039940482","doi":"https://doi.org/10.1109/icip.2014.7025983","mag":"2039940482"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2014.7025983","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025983","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-01002830","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030910160","display_name":"Julien Rabin","orcid":null},"institutions":[{"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/I4210139483","display_name":"GREYC","ror":"https://ror.org/043749971","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I194210350","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210139483","https://openalex.org/I4210159245","https://openalex.org/I98702875"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Julien Rabin","raw_affiliation_strings":["GREYC, Universit\u00e9 de Caen, France","GREYC - Universit\u00e9 de Caen - CNRS Caen, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GREYC, Universit\u00e9 de Caen, France","institution_ids":["https://openalex.org/I4210139483"]},{"raw_affiliation_string":"GREYC - Universit\u00e9 de Caen - CNRS Caen, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210139483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069904949","display_name":"Sira Ferradans","orcid":null},"institutions":[{"id":"https://openalex.org/I170897317","display_name":"Duke University","ror":"https://ror.org/00py81415","country_code":"US","type":"education","lineage":["https://openalex.org/I170897317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sira Ferradans","raw_affiliation_strings":["Duke University, Durham, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Duke University, Durham, USA","institution_ids":["https://openalex.org/I170897317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101696248","display_name":"Nicolas Papadakis","orcid":null},"institutions":[{"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/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/I4210166017","display_name":"Institut de Math\u00e9matiques de Bordeaux","ror":"https://ror.org/05m3r1b84","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I15057530","https://openalex.org/I4210141950","https://openalex.org/I4210160189","https://openalex.org/I4210166017"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Nicolas Papadakis","raw_affiliation_strings":["CNRS, Univ. Bordeaux, France","CNRS, IMB, UMR 5251 Univ. Bordeaux, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CNRS, Univ. Bordeaux, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I15057530"]},{"raw_affiliation_string":"CNRS, IMB, UMR 5251 Univ. Bordeaux, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I15057530","https://openalex.org/I4210166017"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":73,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4852","last_page":"4856"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9998999834060669,"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":0.9973999857902527,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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":0.7343331575393677},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.7046345472335815},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5962834358215332},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5164311528205872},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4957927167415619},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.482567697763443},{"id":"https://openalex.org/keywords/relaxation","display_name":"Relaxation (psychology)","score":0.4435034394264221},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.44007372856140137},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43367835879325867},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4085767865180969},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4062435030937195},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17896512150764465}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7343331575393677},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7046345472335815},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5962834358215332},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5164311528205872},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4957927167415619},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.482567697763443},{"id":"https://openalex.org/C2776029896","wikidata":"https://www.wikidata.org/wiki/Q3935810","display_name":"Relaxation (psychology)","level":2,"score":0.4435034394264221},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.44007372856140137},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43367835879325867},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4085767865180969},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4062435030937195},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17896512150764465},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icip.2014.7025983","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025983","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01002830v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01002830","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'14), Oct 2014, Paris, France. pp.4852-4856","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:oskar-bordeaux.fr:20.500.12278/114564","is_oa":false,"landing_page_url":"https://oskar-bordeaux.fr/handle/20.500.12278/114564","pdf_url":null,"source":{"id":"https://openalex.org/S4306402569","display_name":"Oskar-Bordeaux (Universite de Bordeaux)","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Communication dans un congr\u00e8s avec actes"},{"id":"pmh:oai:oskar-bordeaux.fr:20.500.12278/194783","is_oa":false,"landing_page_url":"https://oskar-bordeaux.fr/handle/20.500.12278/194783","pdf_url":null,"source":{"id":"https://openalex.org/S4306402569","display_name":"Oskar-Bordeaux (Universite de Bordeaux)","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Communication dans un congr\u00e8s"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-01002830v1","is_oa":true,"landing_page_url":"https://hal.science/hal-01002830","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'14), Oct 2014, Paris, France. pp.4852-4856","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":26,"referenced_works":["https://openalex.org/W1578099820","https://openalex.org/W1585160083","https://openalex.org/W1639961155","https://openalex.org/W2006957355","https://openalex.org/W2007866395","https://openalex.org/W2011067448","https://openalex.org/W2017387569","https://openalex.org/W2064966839","https://openalex.org/W2096268042","https://openalex.org/W2102200128","https://openalex.org/W2112693869","https://openalex.org/W2113127797","https://openalex.org/W2118246710","https://openalex.org/W2125101937","https://openalex.org/W2125188192","https://openalex.org/W2129112648","https://openalex.org/W2138467836","https://openalex.org/W2148757083","https://openalex.org/W2160530465","https://openalex.org/W2161086299","https://openalex.org/W2430554907","https://openalex.org/W2467020497","https://openalex.org/W4239749705","https://openalex.org/W6636749761","https://openalex.org/W6683603579","https://openalex.org/W6683769164"],"related_works":["https://openalex.org/W3006513224","https://openalex.org/W2046456988","https://openalex.org/W2357409937","https://openalex.org/W2510582230","https://openalex.org/W2978674666","https://openalex.org/W2074430941","https://openalex.org/W2113096305","https://openalex.org/W1977636359","https://openalex.org/W2772305933","https://openalex.org/W2580722822"],"abstract_inverted_index":{"This":[0],"paper":[1],"studies":[2],"the":[3,60,63,67,71,78,95,101,108,116,125],"problem":[4],"of":[5,62,70,86,98,118],"color":[6],"transfer":[7],"between":[8],"images":[9,42,114],"using":[10],"optimal":[11,83],"transport":[12,64,84],"techniques.":[13],"While":[14],"being":[15],"a":[16],"generic":[17],"framework":[18],"to":[19,27,30,41,47,56,121,124],"handle":[20],"statistics":[21],"properly,":[22],"it":[23],"is":[24,35,75],"also":[25],"known":[26],"be":[28],"sensitive":[29],"noise":[31],"and":[32,34,66,80,104],"outliers,":[33],"not":[36],"suitable":[37],"for":[38],"direct":[39],"application":[40],"without":[43],"additional":[44],"postprocessing":[45],"regularization":[46],"remove":[48],"artifacts.":[49],"To":[50],"tackle":[51],"these":[52],"issues,":[53],"we":[54],"propose":[55],"directly":[57],"deal":[58],"with":[59],"regularity":[61],"map":[65],"spatial":[68,96],"consistency":[69],"reconstruction.":[72],"Our":[73],"approach":[74],"based":[76],"on":[77,112],"relaxed":[79],"regularized":[81],"discrete":[82],"method":[85],"[1].":[87],"We":[88],"extend":[89],"this":[90],"work":[91],"by":[92],"(i)":[93],"modeling":[94],"distribution":[97],"colors":[99],"within":[100],"image":[102],"domain":[103],"(ii)":[105],"tuning":[106],"automatically":[107],"relaxation":[109],"parameters.":[110],"Experiments":[111],"real":[113],"demonstrate":[115],"capacity":[117],"our":[119],"model":[120],"adapt":[122],"itself":[123],"considered":[126],"data.":[127]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}