{"id":"https://openalex.org/W2892340198","doi":"https://doi.org/10.1109/icip.2018.8451575","title":"A Flexible Solution to the Osmosis Equation for Seamless Cloning and Shadow Removal","display_name":"A Flexible Solution to the Osmosis Equation for Seamless Cloning and Shadow Removal","publication_year":2018,"publication_date":"2018-09-07","ids":{"openalex":"https://openalex.org/W2892340198","doi":"https://doi.org/10.1109/icip.2018.8451575","mag":"2892340198"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2018.8451575","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451575","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060001093","display_name":"Marie d\u2019Autume","orcid":null},"institutions":[{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Marie d'Autume","raw_affiliation_strings":["CMLA, Universit\u00e9 Paris-Saclay, Cachan, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CMLA, Universit\u00e9 Paris-Saclay, Cachan, France","institution_ids":["https://openalex.org/I277688954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057798674","display_name":"Jean\u2010Michel Morel","orcid":"https://orcid.org/0000-0002-6108-897X"},"institutions":[{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jean-Michel Morel","raw_affiliation_strings":["CMLA, Universit\u00e9 Paris-Saclay, Cachan, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CMLA, Universit\u00e9 Paris-Saclay, Cachan, France","institution_ids":["https://openalex.org/I277688954"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082980284","display_name":"Enric Meinhardt-Llopis","orcid":null},"institutions":[{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Enric Meinhardt-Llopis","raw_affiliation_strings":["CMLA, Universit\u00e9 Paris-Saclay, Cachan, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CMLA, Universit\u00e9 Paris-Saclay, Cachan, France","institution_ids":["https://openalex.org/I277688954"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I277688954"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9968000054359436,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9968000054359436,"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":0.995199978351593,"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"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing 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/uniqueness","display_name":"Uniqueness","score":0.749824047088623},{"id":"https://openalex.org/keywords/poissons-equation","display_name":"Poisson's equation","score":0.6409943103790283},{"id":"https://openalex.org/keywords/shadow","display_name":"Shadow (psychology)","score":0.5851631760597229},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.5118574500083923},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.48487934470176697},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.4847671389579773},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4826677143573761},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41318878531455994},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.4070785641670227},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.39147526025772095},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3797314465045929},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.17690631747245789}],"concepts":[{"id":"https://openalex.org/C2777021972","wikidata":"https://www.wikidata.org/wiki/Q22976830","display_name":"Uniqueness","level":2,"score":0.749824047088623},{"id":"https://openalex.org/C96716743","wikidata":"https://www.wikidata.org/wiki/Q827688","display_name":"Poisson's equation","level":2,"score":0.6409943103790283},{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.5851631760597229},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5118574500083923},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.48487934470176697},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.4847671389579773},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4826677143573761},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41318878531455994},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.4070785641670227},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.39147526025772095},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3797314465045929},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.17690631747245789},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2018.8451575","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451575","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","display_name":"Life below water","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W8437397","https://openalex.org/W106740994","https://openalex.org/W1040416699","https://openalex.org/W1506237811","https://openalex.org/W1512209089","https://openalex.org/W1731092675","https://openalex.org/W1962474217","https://openalex.org/W1979331265","https://openalex.org/W1985616492","https://openalex.org/W1987902628","https://openalex.org/W1994794884","https://openalex.org/W2039722154","https://openalex.org/W2065769426","https://openalex.org/W2070604790","https://openalex.org/W2098018339","https://openalex.org/W2105038642","https://openalex.org/W2114031217","https://openalex.org/W2137977196","https://openalex.org/W2144527376","https://openalex.org/W2161979821","https://openalex.org/W2164847484","https://openalex.org/W2166502676","https://openalex.org/W2242047952","https://openalex.org/W2556945219","https://openalex.org/W2607345449","https://openalex.org/W2765210226","https://openalex.org/W2766833363","https://openalex.org/W4214695428","https://openalex.org/W4285719527","https://openalex.org/W6600324250","https://openalex.org/W6604344747","https://openalex.org/W6626801160","https://openalex.org/W6630253753","https://openalex.org/W6630616027","https://openalex.org/W6637662484","https://openalex.org/W6683758412","https://openalex.org/W7074614951"],"related_works":["https://openalex.org/W571281153","https://openalex.org/W2949403936","https://openalex.org/W4301247218","https://openalex.org/W3023806604","https://openalex.org/W2952139525","https://openalex.org/W2129818458","https://openalex.org/W4289551052","https://openalex.org/W4390756076","https://openalex.org/W4243074410","https://openalex.org/W2969742028"],"abstract_inverted_index":{"The":[0],"osmosis":[1,67],"model":[2,28],"is":[3,29,38,51,152],"a":[4,8,31,77,92,118],"parabolic":[5,69],"equation":[6,70],"reconstructing":[7],"composite":[9],"image":[10,146],"from":[11,21,137],"an":[12],"input":[13,45],"generally":[14],"given":[15],"by":[16,76],"the":[17,44,52,55,66,111,122,133,144,156],"drift":[18],"fields":[19],"extracted":[20],"one":[22],"or":[23],"several":[24],"images.":[25],"This":[26],"global":[27,68,157],"sometimes":[30],"valid":[32],"alternative":[33],"to":[34,41,57],"Poisson":[35],"editing.":[36],"It":[37,116],"particularly":[39],"adapted":[40],"tasks":[42],"where":[43],"images'":[46],"contrast":[47],"vary":[48],"wildly,":[49],"as":[50],"case":[53],"for":[54,121],"application":[56],"shadow":[58],"removal.":[59],"In":[60],"this":[61],"paper":[62],"we":[63],"prove":[64],"that":[65,125],"can":[71,126],"be":[72,74,127],"advantageously":[73],"replaced":[75],"stationary":[78],"local":[79,107],"elliptic":[80],"equation.":[81],"We":[82,96],"state":[83],"its":[84,148],"existence":[85],"and":[86,89,129],"uniqueness":[87],"result":[88],"give":[90],"it":[91,104,141],"consistent":[93],"numerical":[94,102],"scheme.":[95],"stress":[97],"three":[98],"advantages":[99],"of":[100,113],"our":[101],"model:":[103],"yields":[105],"fast":[106],"solvers":[108],"applied":[109],"on":[110],"regions":[112],"interest":[114],"only.":[115],"gives":[117],"new":[119],"flexibility":[120],"boundary":[123],"conditions,":[124],"mixed":[128],"therefore":[130],"distinguish":[131],"in":[132],"restoration":[134],"cast":[135],"shadows":[136],"shaded":[138],"zones.":[139],"Finally":[140],"maintains":[142],"intact":[143],"target":[145],"outside":[147],"modified":[149],"regions,":[150],"which":[151],"not":[153],"possible":[154],"with":[155],"model.":[158]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}