{"id":"https://openalex.org/W2814798667","doi":"https://doi.org/10.1109/tip.2018.2852488","title":"Photo Realistic Image Completion via Dense Correspondence","display_name":"Photo Realistic Image Completion via Dense Correspondence","publication_year":2018,"publication_date":"2018-07-11","ids":{"openalex":"https://openalex.org/W2814798667","doi":"https://doi.org/10.1109/tip.2018.2852488","mag":"2814798667","pmid":"https://pubmed.ncbi.nlm.nih.gov/30004876"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2018.2852488","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2018.2852488","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5037501616","display_name":"Junjie Huang","orcid":"https://orcid.org/0000-0003-2986-4665"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Jun-Jie Huang","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Imperial College London, London, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College London, London, U.K","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053203917","display_name":"Pier Luigi Dragotti","orcid":"https://orcid.org/0000-0002-6073-2807"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Pier Luigi Dragotti","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Imperial College London, London, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College London, London, U.K","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5037501616"],"corresponding_institution_ids":["https://openalex.org/I47508984"],"apc_list":null,"apc_paid":null,"fwci":0.3191,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.61973571,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"27","issue":"11","first_page":"5234","last_page":"5247"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9998000264167786,"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":0.9998000264167786,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9995999932289124,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7055027484893799},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6092478632926941},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5466613173484802},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5390403270721436},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.5236125588417053},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4158194065093994},{"id":"https://openalex.org/keywords/correspondence-problem","display_name":"Correspondence problem","score":0.41224175691604614},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37536633014678955},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37366509437561035}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7055027484893799},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6092478632926941},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5466613173484802},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5390403270721436},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5236125588417053},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4158194065093994},{"id":"https://openalex.org/C3004257","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Correspondence problem","level":2,"score":0.41224175691604614},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37536633014678955},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37366509437561035}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2018.2852488","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2018.2852488","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:30004876","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30004876","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:spiral.imperial.ac.uk:10044/1/61685","is_oa":false,"landing_page_url":"http://hdl.handle.net/10044/1/61685","pdf_url":null,"source":{"id":"https://openalex.org/S4306401396","display_name":"Spiral (Imperial College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I47508984","host_organization_name":"Imperial College London","host_organization_lineage":["https://openalex.org/I47508984"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"5247","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W764651262","https://openalex.org/W1674866864","https://openalex.org/W1762798876","https://openalex.org/W1763426478","https://openalex.org/W1960436198","https://openalex.org/W1966784027","https://openalex.org/W1975049209","https://openalex.org/W1993120651","https://openalex.org/W1995266040","https://openalex.org/W1997903019","https://openalex.org/W2006957355","https://openalex.org/W2011975968","https://openalex.org/W2017832276","https://openalex.org/W2019085623","https://openalex.org/W2029411311","https://openalex.org/W2033850547","https://openalex.org/W2039051707","https://openalex.org/W2054366734","https://openalex.org/W2057016804","https://openalex.org/W2062426340","https://openalex.org/W2071730188","https://openalex.org/W2081351607","https://openalex.org/W2090518410","https://openalex.org/W2096461046","https://openalex.org/W2104962368","https://openalex.org/W2105038642","https://openalex.org/W2106505277","https://openalex.org/W2111758724","https://openalex.org/W2113221323","https://openalex.org/W2114712988","https://openalex.org/W2115003579","https://openalex.org/W2117228865","https://openalex.org/W2124861766","https://openalex.org/W2134236847","https://openalex.org/W2134292164","https://openalex.org/W2145940484","https://openalex.org/W2146249262","https://openalex.org/W2147659939","https://openalex.org/W2147901574","https://openalex.org/W2151103935","https://openalex.org/W2163341393","https://openalex.org/W2163819245","https://openalex.org/W2164490837","https://openalex.org/W2171011251","https://openalex.org/W2295936755","https://openalex.org/W2397176014","https://openalex.org/W2430898906","https://openalex.org/W2441099548","https://openalex.org/W2550791380","https://openalex.org/W2738588019","https://openalex.org/W2951309005","https://openalex.org/W2963317244","https://openalex.org/W2963420272","https://openalex.org/W4240726888","https://openalex.org/W4247548711","https://openalex.org/W4251264660","https://openalex.org/W6665976520","https://openalex.org/W6681330473","https://openalex.org/W6712849065"],"related_works":["https://openalex.org/W1995461481","https://openalex.org/W2155593858","https://openalex.org/W2080322084","https://openalex.org/W2005185696","https://openalex.org/W2098025439","https://openalex.org/W23451984","https://openalex.org/W2161229648","https://openalex.org/W3003164983","https://openalex.org/W2235753890","https://openalex.org/W2507763083"],"abstract_inverted_index":{"In":[0],"this":[1,38],"paper,":[2,39],"we":[3,40],"propose":[4,41],"an":[5,18],"image":[6,16,20,101,106,146,153],"completion":[7,147,154],"algorithm":[8,84,132],"based":[9],"on":[10],"dense":[11,50,63],"correspondence":[12,64],"between":[13,59,121],"the":[14,23,73,92,96,99,104,110,122,126,137],"input":[15,111,127],"and":[17,88,125],"exemplar":[19,105],"retrieved":[21],"from":[22,103],"Internet.":[24],"Contrary":[25],"to":[26,34,55,72,75,109,135],"traditional":[27],"methods":[28],"which":[29,52],"register":[30],"two":[31],"images":[32],"according":[33],"sparse":[35],"correspondence,":[36,51],"in":[37],"a":[42,49,86,118,129],"hierarchical":[43],"PatchMatch":[44],"method":[45,148],"that":[46,70,143],"progressively":[47],"estimates":[48],"is":[53,107,133],"able":[54],"capture":[56],"small":[57],"deformations":[58],"images.":[60],"The":[61],"estimated":[62],"has":[65],"usually":[66],"large":[67],"occlusion":[68],"areas":[69],"correspond":[71],"regions":[74],"be":[76,117],"completed.":[77],"A":[78],"nearest":[79],"neighbor":[80],"field":[81],"(NNF)":[82],"interpolation":[83],"interpolates":[85],"smooth":[87],"accurate":[89],"NNF":[90],"over":[91],"occluded":[93],"region.":[94],"Given":[95],"calculated":[97],"NNF,":[98],"correct":[100],"content":[102,124],"transferred":[108],"image.":[112],"Finally,":[113],"as":[114],"there":[115],"could":[116],"color":[119,130],"difference":[120],"completed":[123],"image,":[128],"correction":[131],"applied":[134],"remove":[136],"visual":[138],"artifacts.":[139],"Numerical":[140],"results":[141],"show":[142],"our":[144],"proposed":[145],"can":[149],"achieve":[150],"photo":[151],"realistic":[152],"results.":[155]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}