{"id":"https://openalex.org/W2115942353","doi":"https://doi.org/10.1109/cgi.2003.1214456","title":"Image restoration using multiresolution texture synthesis and image inpainting","display_name":"Image restoration using multiresolution texture synthesis and image inpainting","publication_year":2004,"publication_date":"2004-03-02","ids":{"openalex":"https://openalex.org/W2115942353","doi":"https://doi.org/10.1109/cgi.2003.1214456","mag":"2115942353"},"language":"en","primary_location":{"id":"doi:10.1109/cgi.2003.1214456","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cgi.2003.1214456","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings Computer Graphics International 2003","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/A5013601744","display_name":"Hitoshi Yamauchi","orcid":null},"institutions":[{"id":"https://openalex.org/I149899117","display_name":"Max Planck Society","ror":"https://ror.org/01hhn8329","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I149899117"]},{"id":"https://openalex.org/I4210109712","display_name":"Max Planck Institute for Informatics","ror":"https://ror.org/01w19ak89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"H. Yamauchi","raw_affiliation_strings":["Max Planck Institut f\u00fcr Informatik, Saarbrucken, Germany","Max-Planck-Inst. fur Inf., Saarbrucken, Germany#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Max Planck Institut f\u00fcr Informatik, Saarbrucken, Germany","institution_ids":["https://openalex.org/I4210109712"]},{"raw_affiliation_string":"Max-Planck-Inst. fur Inf., Saarbrucken, Germany#TAB#","institution_ids":["https://openalex.org/I149899117"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073851063","display_name":"J\u00f6rg Haber","orcid":null},"institutions":[{"id":"https://openalex.org/I149899117","display_name":"Max Planck Society","ror":"https://ror.org/01hhn8329","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I149899117"]},{"id":"https://openalex.org/I4210109712","display_name":"Max Planck Institute for Informatics","ror":"https://ror.org/01w19ak89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"J. Haber","raw_affiliation_strings":["Max Planck Institut f\u00fcr Informatik, Saarbrucken, Germany","Max-Planck-Inst. fur Inf., Saarbrucken, Germany#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Max Planck Institut f\u00fcr Informatik, Saarbrucken, Germany","institution_ids":["https://openalex.org/I4210109712"]},{"raw_affiliation_string":"Max-Planck-Inst. fur Inf., Saarbrucken, Germany#TAB#","institution_ids":["https://openalex.org/I149899117"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058028526","display_name":"Hans\u2010Peter Seidel","orcid":"https://orcid.org/0000-0002-1343-8613"},"institutions":[{"id":"https://openalex.org/I149899117","display_name":"Max Planck Society","ror":"https://ror.org/01hhn8329","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I149899117"]},{"id":"https://openalex.org/I4210109712","display_name":"Max Planck Institute for Informatics","ror":"https://ror.org/01w19ak89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"H.-P. Seidel","raw_affiliation_strings":["Max Planck Institut f\u00fcr Informatik, Saarbrucken, Germany","Max-Planck-Inst. fur Inf., Saarbrucken, Germany#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Max Planck Institut f\u00fcr Informatik, Saarbrucken, Germany","institution_ids":["https://openalex.org/I4210109712"]},{"raw_affiliation_string":"Max-Planck-Inst. fur Inf., Saarbrucken, Germany#TAB#","institution_ids":["https://openalex.org/I149899117"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.7077,"has_fulltext":false,"cited_by_count":105,"citation_normalized_percentile":{"value":0.97289698,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"120","last_page":"125"},"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":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","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"}},{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9973000288009644,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9914000034332275,"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/inpainting","display_name":"Inpainting","score":0.9690154790878296},{"id":"https://openalex.org/keywords/texture-synthesis","display_name":"Texture synthesis","score":0.8464118242263794},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7508893609046936},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.7005866169929504},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6854144334793091},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6490678787231445},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.6278398036956787},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5641069412231445},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5252451300621033},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.38721388578414917},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36502575874328613}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.9690154790878296},{"id":"https://openalex.org/C50494287","wikidata":"https://www.wikidata.org/wiki/Q658467","display_name":"Texture synthesis","level":5,"score":0.8464118242263794},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7508893609046936},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.7005866169929504},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6854144334793091},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6490678787231445},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.6278398036956787},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5641069412231445},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5252451300621033},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.38721388578414917},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36502575874328613}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/cgi.2003.1214456","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cgi.2003.1214456","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings Computer Graphics International 2003","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.122.6167","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.122.6167","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.mpi-sb.mpg.de/~hitoshi/research/publications/CGI2003_yamauchi_paper.pdf","raw_type":"text"},{"id":"pmh:oai:edoc.mpg.de:201946","is_oa":false,"landing_page_url":"http://edoc.mpg.de/201946","pdf_url":null,"source":{"id":"https://openalex.org/S4406922265","display_name":"Max Planck Institute for Plasma Physics","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":"Computer Graphics International (CGI 2003), IEEE Computer Society, 120-125 (2003)","raw_type":"Conference-Paper"},{"id":"pmh:oai:pure.mpg.de:item_1330085","is_oa":false,"landing_page_url":"http://hdl.handle.net/11858/00-001M-0000-000F-2D30-B","pdf_url":null,"source":{"id":"https://openalex.org/S4306400654","display_name":"MPG.PuRe (Max Planck Society)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149899117","host_organization_name":"Max Planck Society","host_organization_lineage":["https://openalex.org/I149899117"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the Computer Graphics International","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1518016839","https://openalex.org/W1631438129","https://openalex.org/W1999360130","https://openalex.org/W2003505141","https://openalex.org/W2031832209","https://openalex.org/W2042371054","https://openalex.org/W2064309976","https://openalex.org/W2068623560","https://openalex.org/W2078790577","https://openalex.org/W2083518538","https://openalex.org/W2099704534","https://openalex.org/W2101322670","https://openalex.org/W2116013899","https://openalex.org/W2134849909","https://openalex.org/W2139796514","https://openalex.org/W2150823190","https://openalex.org/W2151406969","https://openalex.org/W2153709524","https://openalex.org/W2232702494","https://openalex.org/W2292976057","https://openalex.org/W2295936755","https://openalex.org/W2413948113","https://openalex.org/W2427881153","https://openalex.org/W4232201360","https://openalex.org/W6629369048","https://openalex.org/W6631087165","https://openalex.org/W6674857270","https://openalex.org/W6682043285","https://openalex.org/W6715516539"],"related_works":["https://openalex.org/W2385244905","https://openalex.org/W1554980273","https://openalex.org/W2021008485","https://openalex.org/W2352164403","https://openalex.org/W2317681159","https://openalex.org/W2771814581","https://openalex.org/W2368324430","https://openalex.org/W2616924144","https://openalex.org/W2355113740","https://openalex.org/W2030411253"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,70,114],"new":[3],"method":[4,40,99],"for":[5,32,113],"the":[6,50,75,85],"restoration":[7],"of":[8,15,28,77,87,89,116,123],"digitized":[9],"photographs.":[10],"Restoration":[11],"refers":[12],"to":[13,26,83],"removal":[14,27],"image":[16,47,64],"defects":[17],"such":[18],"as":[19,23,25],"scratches":[20],"and":[21,37,46,66,80,104],"blotches":[22],"well":[24],"disturbing":[29],"objects":[30],"as,":[31],"instance,":[33],"subtitles,":[34],"logos,":[35],"wires,":[36],"microphones.":[38],"Our":[39],"combines":[41],"techniques":[42],"from":[43],"texture":[44,67],"synthesis":[45,68],"inpainting,":[48],"bridging":[49],"gap":[51],"between":[52],"these":[53],"two":[54],"approaches":[55],"that":[56,119],"have":[57],"recently":[58],"attracted":[59],"strong":[60],"research":[61],"interest.":[62],"Combining":[63],"inpainting":[65],"in":[69,102,107],"multiresolution":[71],"approach":[72],"gives":[73],"us":[74,82],"best":[76],"both":[78],"worlds":[79],"enables":[81],"overcome":[84],"limitations":[86],"each":[88],"those":[90],"individual":[91],"approaches.":[92],"The":[93],"restored":[94],"images":[95,118],"obtained":[96],"with":[97],"our":[98],"look":[100],"plausible":[101],"general":[103],"surprisingly":[105],"good":[106],"some":[108],"cases.":[109],"This":[110],"is":[111],"demonstrated":[112],"variety":[115],"input":[117],"exhibit":[120],"different":[121],"kinds":[122],"defects.":[124]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":6}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
