{"id":"https://openalex.org/W2047422818","doi":"https://doi.org/10.1109/tip.2014.2372479","title":"Context-Aware Patch-Based Image Inpainting Using Markov Random Field Modeling","display_name":"Context-Aware Patch-Based Image Inpainting Using Markov Random Field Modeling","publication_year":2014,"publication_date":"2014-11-20","ids":{"openalex":"https://openalex.org/W2047422818","doi":"https://doi.org/10.1109/tip.2014.2372479","mag":"2047422818","pmid":"https://pubmed.ncbi.nlm.nih.gov/25420260"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2014.2372479","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2014.2372479","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/A5064574988","display_name":"Tijana Ru\u017ei\u0107","orcid":null},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]},{"id":"https://openalex.org/I39327780","display_name":"iMinds","ror":"https://ror.org/03baec336","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I39327780"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Tijana Ruzic","raw_affiliation_strings":["Department of Telecommunications and Information Processing-TELIN-IPI-iMinds, Ghent University, Ghent, Belgium","Dept. of Telecommunications and Information Processing, TELIN-IPI-iMinds, Ghent University, Ghent, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Telecommunications and Information Processing-TELIN-IPI-iMinds, Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200","https://openalex.org/I39327780"]},{"raw_affiliation_string":"Dept. of Telecommunications and Information Processing, TELIN-IPI-iMinds, Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200","https://openalex.org/I39327780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031078128","display_name":"Aleksandra Pi\u017eurica","orcid":"https://orcid.org/0000-0002-9322-4999"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]},{"id":"https://openalex.org/I39327780","display_name":"iMinds","ror":"https://ror.org/03baec336","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I39327780"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Aleksandra Pizurica","raw_affiliation_strings":["Department of Telecommunications and Information Processing-TELIN-IPI-iMinds, Ghent University, Ghent, Belgium","Dept. of Telecommunications and Information Processing, TELIN-IPI-iMinds, Ghent University, Ghent, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Telecommunications and Information Processing-TELIN-IPI-iMinds, Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200","https://openalex.org/I39327780"]},{"raw_affiliation_string":"Dept. of Telecommunications and Information Processing, TELIN-IPI-iMinds, Ghent University, Ghent, Belgium","institution_ids":["https://openalex.org/I32597200","https://openalex.org/I39327780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.4189,"has_fulltext":false,"cited_by_count":184,"citation_normalized_percentile":{"value":0.96880998,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"24","issue":"1","first_page":"444","last_page":"456"},"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":0.9544000029563904,"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":0.9544000029563904,"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":0.004399999976158142,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.004000000189989805,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/inpainting","display_name":"Inpainting","score":0.9434417486190796},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.8245110511779785},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6850320100784302},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5627578496932983},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5314411520957947},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5131105184555054},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5064247846603394},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4525527060031891},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4347842335700989},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.42620545625686646},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.41689354181289673},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3476794362068176},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.23626866936683655},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17806601524353027}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.9434417486190796},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.8245110511779785},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6850320100784302},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5627578496932983},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5314411520957947},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5131105184555054},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5064247846603394},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4525527060031891},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4347842335700989},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.42620545625686646},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.41689354181289673},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3476794362068176},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.23626866936683655},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17806601524353027},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2014.2372479","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2014.2372479","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:25420260","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25420260","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:archive.ugent.be:5968560","is_oa":false,"landing_page_url":"https://biblio.ugent.be/publication/5968560","pdf_url":null,"source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISSN: 1057-7149","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W134498629","https://openalex.org/W1528775006","https://openalex.org/W1544005643","https://openalex.org/W1566135517","https://openalex.org/W1934344900","https://openalex.org/W1967626930","https://openalex.org/W1977398717","https://openalex.org/W1993120651","https://openalex.org/W1999360130","https://openalex.org/W1999378860","https://openalex.org/W1999478155","https://openalex.org/W2000901449","https://openalex.org/W2006426992","https://openalex.org/W2016331656","https://openalex.org/W2022664316","https://openalex.org/W2025075061","https://openalex.org/W2039051707","https://openalex.org/W2043114787","https://openalex.org/W2044465660","https://openalex.org/W2055138090","https://openalex.org/W2056671897","https://openalex.org/W2064309976","https://openalex.org/W2077786999","https://openalex.org/W2081351607","https://openalex.org/W2093212899","https://openalex.org/W2096461046","https://openalex.org/W2098387242","https://openalex.org/W2100415658","https://openalex.org/W2105038642","https://openalex.org/W2110158442","https://openalex.org/W2111758724","https://openalex.org/W2120001410","https://openalex.org/W2137560623","https://openalex.org/W2141376824","https://openalex.org/W2147901574","https://openalex.org/W2152942156","https://openalex.org/W2153237085","https://openalex.org/W2155163608","https://openalex.org/W2155175457","https://openalex.org/W2159295716","https://openalex.org/W2159693038","https://openalex.org/W2164490837","https://openalex.org/W2168878035","https://openalex.org/W2240838188","https://openalex.org/W2295936755","https://openalex.org/W4249710618","https://openalex.org/W6605556548","https://openalex.org/W6632506150","https://openalex.org/W6661147659","https://openalex.org/W6683453179"],"related_works":["https://openalex.org/W2380775572","https://openalex.org/W2213520135","https://openalex.org/W4242046654","https://openalex.org/W1504109132","https://openalex.org/W3134074939","https://openalex.org/W2117562399","https://openalex.org/W3174923100","https://openalex.org/W2244018504","https://openalex.org/W2161831747","https://openalex.org/W1974126222"],"abstract_inverted_index":{"In":[0],"this":[1,78],"paper,":[2],"we":[3],"first":[4],"introduce":[5],"a":[6,96,140],"general":[7],"approach":[8,60,79,125],"for":[9,25,49],"context-aware":[10],"patch-based":[11],"image":[12,36,54,84,103],"inpainting,":[13],"where":[14,93],"textural":[15],"descriptors":[16],"are":[17],"used":[18],"to":[19,42,52,64,80],"guide":[20],"and":[21,68,132,136],"accelerate":[22],"the":[23,35,47,66,81,87,107,120,123],"search":[24,48],"well-matching":[26],"(candidate)":[27],"patches.":[28,104],"A":[29],"novel":[30],"top-down":[31],"splitting":[32],"procedure":[33],"divides":[34],"into":[37],"variable":[38],"size":[39],"blocks":[40],"according":[41],"their":[43],"context,":[44],"constraining":[45],"thereby":[46],"candidate":[50],"patches":[51],"nonlocal":[53],"regions":[55],"with":[56,86,111],"matching":[57],"context.":[58],"This":[59],"can":[61],"be":[62],"employed":[63],"improve":[65],"speed":[67],"performance":[69],"of":[70,101,122,139],"virtually":[71],"any":[72],"(patch-based)":[73],"inpainting":[74,85,127,144],"method.":[75,116],"We":[76,105],"apply":[77],"so-called":[82],"global":[83,142],"Markov":[88],"random":[89],"field":[90],"(MRF)":[91],"prior,":[92],"MRF":[94],"encodes":[95],"priori":[97],"knowledge":[98],"about":[99],"consistency":[100],"neighboring":[102],"solve":[106],"resulting":[108],"optimization":[109],"problem":[110],"an":[112],"efficient":[113],"low-complexity":[114],"inference":[115],"Experimental":[117],"results":[118],"demonstrate":[119],"potential":[121],"proposed":[124],"in":[126],"applications":[128],"like":[129],"scratch,":[130],"text,":[131],"object":[133],"removal.":[134],"Improvement":[135],"significant":[137],"acceleration":[138],"related":[141],"MRF-based":[143],"method":[145],"is":[146],"also":[147],"evident.":[148]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":30},{"year":2022,"cited_by_count":24},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":24},{"year":2019,"cited_by_count":21},{"year":2018,"cited_by_count":16},{"year":2017,"cited_by_count":12},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":4}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}