{"id":"https://openalex.org/W2799649842","doi":"https://doi.org/10.3390/info9040096","title":"Hierarchical Guidance Strategy and Exemplar-Based Image Inpainting","display_name":"Hierarchical Guidance Strategy and Exemplar-Based Image Inpainting","publication_year":2018,"publication_date":"2018-04-18","ids":{"openalex":"https://openalex.org/W2799649842","doi":"https://doi.org/10.3390/info9040096","mag":"2799649842"},"language":"en","primary_location":{"id":"doi:10.3390/info9040096","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info9040096","pdf_url":"https://www.mdpi.com/2078-2489/9/4/96/pdf?version=1525349081","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2078-2489/9/4/96/pdf?version=1525349081","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101929839","display_name":"Huaming Liu","orcid":"https://orcid.org/0000-0002-0268-7745"},"institutions":[{"id":"https://openalex.org/I13175533","display_name":"Fuyang Normal University","ror":"https://ror.org/02njz9p87","country_code":"CN","type":"education","lineage":["https://openalex.org/I13175533"]},{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaming Liu","raw_affiliation_strings":["College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China","School of Computer and Information Engineering, Fuyang Normal University, Fuyang 236037, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"School of Computer and Information Engineering, Fuyang Normal University, Fuyang 236037, China","institution_ids":["https://openalex.org/I13175533"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065519164","display_name":"Guanming Lu","orcid":"https://orcid.org/0000-0003-4860-8229"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guanming Lu","raw_affiliation_strings":["College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China","Jiangsu Province Key Laboratory on Image Processing and Image Communication, Nanjing 210003, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"Jiangsu Province Key Laboratory on Image Processing and Image Communication, Nanjing 210003, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058339909","display_name":"Xuehui Bi","orcid":"https://orcid.org/0009-0005-0704-2777"},"institutions":[{"id":"https://openalex.org/I13175533","display_name":"Fuyang Normal University","ror":"https://ror.org/02njz9p87","country_code":"CN","type":"education","lineage":["https://openalex.org/I13175533"]},{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuehui Bi","raw_affiliation_strings":["College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China","School of Computer and Information Engineering, Fuyang Normal University, Fuyang 236037, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"School of Computer and Information Engineering, Fuyang Normal University, Fuyang 236037, China","institution_ids":["https://openalex.org/I13175533"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100600356","display_name":"Weilan Wang","orcid":"https://orcid.org/0000-0002-2779-837X"},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weilan Wang","raw_affiliation_strings":["School of Mathematics and Computer Science, Northwest Minzu University, Lanzhou 730030, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Computer Science, Northwest Minzu University, Lanzhou 730030, China","institution_ids":["https://openalex.org/I145897649"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5065519164"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.106,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.42747792,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"9","issue":"4","first_page":"96","last_page":"96"},"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":0.9984999895095825,"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":0.9984999895095825,"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":0.9983000159263611,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9955999851226807,"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":0.9452458620071411},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7357864379882812},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6828234791755676},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.674923837184906},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6268532276153564},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6014177799224854},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.5766504406929016},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5657132863998413},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5215204358100891},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.510791540145874},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4519954025745392},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4228362441062927},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2566986083984375}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.9452458620071411},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7357864379882812},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6828234791755676},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.674923837184906},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6268532276153564},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6014177799224854},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.5766504406929016},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5657132863998413},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5215204358100891},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.510791540145874},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4519954025745392},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4228362441062927},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2566986083984375},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/info9040096","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info9040096","pdf_url":"https://www.mdpi.com/2078-2489/9/4/96/pdf?version=1525349081","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},{"id":"pmh:oai:mdpi.com:/2078-2489/9/4/96/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/info9040096","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Information; Volume 9; Issue 4; Pages: 96","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/info9040096","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info9040096","pdf_url":"https://www.mdpi.com/2078-2489/9/4/96/pdf?version=1525349081","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W345598540","https://openalex.org/W1027082189","https://openalex.org/W1974878844","https://openalex.org/W1997763492","https://openalex.org/W2000901449","https://openalex.org/W2012875423","https://openalex.org/W2031832209","https://openalex.org/W2055802044","https://openalex.org/W2063642766","https://openalex.org/W2064309976","https://openalex.org/W2081160575","https://openalex.org/W2093212899","https://openalex.org/W2096461046","https://openalex.org/W2104962368","https://openalex.org/W2105038642","https://openalex.org/W2132250001","https://openalex.org/W2146337213","https://openalex.org/W2295936755","https://openalex.org/W2297358468","https://openalex.org/W2404812048","https://openalex.org/W2557414982","https://openalex.org/W2962968481","https://openalex.org/W2963420272","https://openalex.org/W2997095758","https://openalex.org/W3001217199","https://openalex.org/W4231697575","https://openalex.org/W4385490375","https://openalex.org/W6666569545","https://openalex.org/W6682882906","https://openalex.org/W6713258033","https://openalex.org/W6855473029"],"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/W4298074124","https://openalex.org/W2003548600"],"abstract_inverted_index":{"To":[0],"solve":[1],"the":[2,10,20,41,51,54,58,62,65,68,74,84,88,92,96,101,117,140,164,168,192,223],"issue":[3],"that":[4,184],"it":[5],"is":[6,32,37,71,79,114,187,202,216],"difficult":[7],"to":[8,129,190,203,218],"maintain":[9,191],"consistency":[11,141,193],"of":[12,50,64,87,119,142,170,194,199,225],"linear":[13,143,195],"structures":[14,144],"when":[15,175],"filling":[16],"large":[17,205],"regions":[18,103,206],"by":[19,73,132],"exemplar-based":[21,28,75],"technique,":[22],"a":[23,80,146],"hierarchical":[24],"guidance":[25,109],"strategy":[26],"and":[27,91,100,135,158],"image":[29,90],"inpainting":[30,35,66,118],"technique":[31,138,181],"proposed.":[33],"The":[34,197],"process":[36,113],"as":[38,108,163],"follows:":[39],"(i)":[40],"multi-layer":[42],"resolution":[43],"images":[44,211],"are":[45,104,172,209],"firstly":[46],"acquired":[47],"through":[48],"decomposing":[49],"pyramid":[52],"on":[53,95],"target":[55,102],"image;":[56],"(ii)":[57],"top-layer":[59,97],"inpainted":[60,98,228],"image,":[61,99],"beginning":[63],"from":[67],"top":[69,89],"layer,":[70],"generated":[72],"technique;":[76],"(iii)":[77],"there":[78],"combined":[81],"result":[82],"between":[83],"next":[85],"layer":[86],"up-sampling":[93],"output":[94],"filled":[105],"with":[106,177,222],"information":[107],"data;":[110],"(iv)":[111],"this":[112],"repeated":[115],"until":[116],"all":[120],"layers":[121],"have":[122],"been":[123],"completed.":[124],"Our":[125],"results":[126],"were":[127],"compared":[128,176],"those":[130],"obtained":[131],"existing":[133],"techniques,":[134,179],"our":[136,180,185,200],"proposed":[137],"maintained":[139],"in":[145,220],"visually":[147],"plausible":[148,227],"way.":[149],"Objectively,":[150],"we":[151],"choose":[152],"SSIM":[153,171],"(structural":[154],"similarity":[155],"index":[156],"measurement)":[157],"PSNR":[159],"(peak":[160],"signal-to-noise":[161],"ratio)":[162],"measurement":[165],"indices.":[166],"Since":[167],"values":[169],"well":[173],"reflected":[174],"other":[178],"clearly":[182],"demonstrated":[183],"approach":[186],"better":[188],"able":[189],"structures.":[196],"core":[198],"algorithm":[201],"fill":[204],"whether":[207],"they":[208],"synthesis":[210],"or":[212],"real-scene":[213],"photographs.":[214],"It":[215],"easy":[217],"apply":[219],"practice,":[221],"goal":[224],"having":[226],"image.":[229]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2018-05-17T00:00:00"}