{"id":"https://openalex.org/W2295934715","doi":"https://doi.org/10.1109/icip.2015.7351110","title":"Fast image completion method using patch offset statistics","display_name":"Fast image completion method using patch offset statistics","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2295934715","doi":"https://doi.org/10.1109/icip.2015.7351110","mag":"2295934715"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2015.7351110","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351110","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"article","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/A5022687630","display_name":"Marin Koppel","orcid":null},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]},{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marin Koppel","raw_affiliation_strings":["Fraunhofer Institute for Telecommunications Heinrich Hertz Institute (HHI) Image Processing Department, Einsteinufer 37, 10587 Berlin, Germany","Department of Telecommunication Systems, Technical University of Berlin, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Telecommunications Heinrich Hertz Institute (HHI) Image Processing Department, Einsteinufer 37, 10587 Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]},{"raw_affiliation_string":"Department of Telecommunication Systems, Technical University of Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022949758","display_name":"Mehdi Ben Makhlouf","orcid":null},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]},{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mehdi Ben Makhlouf","raw_affiliation_strings":["Fraunhofer Institute for Telecommunications Heinrich Hertz Institute (HHI) Image Processing Department, Einsteinufer 37, 10587 Berlin, Germany","Department of Telecommunication Systems, Technical University of Berlin, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Telecommunications Heinrich Hertz Institute (HHI) Image Processing Department, Einsteinufer 37, 10587 Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]},{"raw_affiliation_string":"Department of Telecommunication Systems, Technical University of Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053236822","display_name":"Karsen Muller","orcid":null},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Karsen Muller","raw_affiliation_strings":["Fraunhofer Institute for Telecommunications Heinrich Hertz Institute (HHI) Image Processing Department, Einsteinufer 37, 10587 Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Telecommunications Heinrich Hertz Institute (HHI) Image Processing Department, Einsteinufer 37, 10587 Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034084717","display_name":"Thomas Wiegand","orcid":"https://orcid.org/0000-0002-1121-2581"},"institutions":[{"id":"https://openalex.org/I2800274787","display_name":"Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute","ror":"https://ror.org/02tbr6331","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2800274787","https://openalex.org/I4923324"]},{"id":"https://openalex.org/I4577782","display_name":"Technische Universit\u00e4t Berlin","ror":"https://ror.org/03v4gjf40","country_code":"DE","type":"education","lineage":["https://openalex.org/I4577782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Wiegand","raw_affiliation_strings":["Fraunhofer Institute for Telecommunications Heinrich Hertz Institute (HHI) Image Processing Department, Einsteinufer 37, 10587 Berlin, Germany","Department of Telecommunication Systems, Technical University of Berlin, Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fraunhofer Institute for Telecommunications Heinrich Hertz Institute (HHI) Image Processing Department, Einsteinufer 37, 10587 Berlin, Germany","institution_ids":["https://openalex.org/I2800274787"]},{"raw_affiliation_string":"Department of Telecommunication Systems, Technical University of Berlin, Berlin, Germany","institution_ids":["https://openalex.org/I4577782"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1233,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.85558181,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"2","issue":null,"first_page":"1795","last_page":"1799"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9993000030517578,"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":0.9991000294685364,"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/offset","display_name":"Offset (computer science)","score":0.7447341084480286},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6844732761383057},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6241570711135864},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6009638905525208},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5099655389785767},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4328201413154602},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40800169110298157},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.34006258845329285},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2645067572593689}],"concepts":[{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.7447341084480286},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6844732761383057},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6241570711135864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6009638905525208},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5099655389785767},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4328201413154602},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40800169110298157},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.34006258845329285},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2645067572593689},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2015.7351110","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2015.7351110","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:publica.fraunhofer.de:publica/392640","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/392640","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.699999988079071,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1589992428","https://openalex.org/W2016331656","https://openalex.org/W2045413019","https://openalex.org/W2054366734","https://openalex.org/W2062811295","https://openalex.org/W2081351607","https://openalex.org/W2092291398","https://openalex.org/W2105038642","https://openalex.org/W2116013899","https://openalex.org/W2121927366","https://openalex.org/W2125873654","https://openalex.org/W2126916173","https://openalex.org/W2127006916","https://openalex.org/W2131686571","https://openalex.org/W2145940484","https://openalex.org/W2155175457","https://openalex.org/W2164490837","https://openalex.org/W2171011251","https://openalex.org/W2232702494","https://openalex.org/W2268034095","https://openalex.org/W2295936755","https://openalex.org/W2539468925","https://openalex.org/W4229991028","https://openalex.org/W4249710618","https://openalex.org/W6678461930"],"related_works":["https://openalex.org/W2062195135","https://openalex.org/W1922851888","https://openalex.org/W4388308858","https://openalex.org/W2017572878","https://openalex.org/W3022853057","https://openalex.org/W2377728464","https://openalex.org/W2046645015","https://openalex.org/W2747473526","https://openalex.org/W615465616","https://openalex.org/W2745139775"],"abstract_inverted_index":{"Image":[0],"completion":[1,27],"is":[2,29,75],"a":[3,16,23,67,89,95],"technique":[4],"that":[5,118],"involves":[6],"repairing":[7],"damaged":[8],"images":[9,93],"or":[10],"filling":[11,109],"in":[12,15,61,104,107],"missing":[13,85,133],"regions":[14,134],"visually":[17],"pleasing":[18],"manner.":[19],"In":[20],"this":[21],"work,":[22],"novel":[24],"fast":[25],"image":[26],"approach":[28],"proposed,":[30],"which":[31],"finds":[32],"the":[33,40,62,71,84,100,108,119,127,130],"best":[34],"textures":[35],"to":[36,82,112,126],"be":[37],"filled":[38],"into":[39],"unknown":[41],"areas":[42],"through":[43],"internal":[44],"statistics":[45,52],"of":[46,58,70,91],"natural":[47],"images.":[48],"Firstly,":[49],"we":[50],"create":[51],"from":[53],"spatial":[54],"offsets":[55,74,78,101],"(relative":[56],"positions)":[57],"similar":[59],"patches":[60],"image.":[63],"From":[64],"these":[65],"statistics,":[66],"sparse":[68],"representation":[69],"most":[72],"frequent":[73],"derived.":[76],"These":[77],"are":[79,102],"then":[80],"used":[81],"fill":[83],"region":[86],"by":[87],"combining":[88],"stack":[90],"shifted":[92],"using":[94],"weighted":[96],"means":[97],"method.":[98],"Hereby,":[99],"considered":[103],"descending":[105],"order":[106],"routine":[110],"according":[111],"their":[113],"importance.":[114],"Experimental":[115],"results":[116],"show":[117],"proposed":[120],"method":[121,131],"yields":[122],"subjective":[123],"improvements":[124],"compared":[125],"state-of-the-art.":[128],"Furthermore,":[129],"synthesizes":[132],"faster":[135],"than":[136],"existing":[137],"methods.":[138]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
