{"id":"https://openalex.org/W4225163148","doi":"https://doi.org/10.1142/s0218126622502097","title":"Image Inpainting Based on Contextual Coherent Attention GAN","display_name":"Image Inpainting Based on Contextual Coherent Attention GAN","publication_year":2022,"publication_date":"2022-04-27","ids":{"openalex":"https://openalex.org/W4225163148","doi":"https://doi.org/10.1142/s0218126622502097"},"language":"en","primary_location":{"id":"doi:10.1142/s0218126622502097","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126622502097","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","raw_type":"journal-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/A5112115755","display_name":"Hong-an Li","orcid":"https://orcid.org/0000-0003-1805-8430"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hong-an Li","raw_affiliation_strings":["College of Computer Science and Technology, Xi\u2019an University of Science and Technology, Xi\u2019an 710054, P.\u00a0R.\u00a0China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Xi\u2019an University of Science and Technology, Xi\u2019an 710054, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I110440473"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014126477","display_name":"Liuqing Hu","orcid":"https://orcid.org/0000-0002-2058-482X"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liuqing Hu","raw_affiliation_strings":["College of Computer Science and Technology, Xi\u2019an University of Science and Technology, Xi\u2019an 710054, P.\u00a0R.\u00a0China"],"raw_orcid":"https://orcid.org/0000-0002-2058-482X","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Xi\u2019an University of Science and Technology, Xi\u2019an 710054, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I110440473"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015952277","display_name":"Qiaozhi Hua","orcid":"https://orcid.org/0000-0002-5999-4498"},"institutions":[{"id":"https://openalex.org/I4210113795","display_name":"Hubei University of Arts and Science","ror":"https://ror.org/0212jcf64","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210113795"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiaozhi Hua","raw_affiliation_strings":["Computer School, Hubei University of Arts and Science, Xiangyang 441000, P.\u00a0R.\u00a0China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer School, Hubei University of Arts and Science, Xiangyang 441000, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I4210113795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101620322","display_name":"Meng Yang","orcid":"https://orcid.org/0000-0002-2514-8015"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Meng Yang","raw_affiliation_strings":["Xi\u2019an Institute of Applied Optics, Xi\u2019an 710065, P.\u00a0R.\u00a0China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi\u2019an Institute of Applied Optics, Xi\u2019an 710065, P.\u00a0R.\u00a0China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078395312","display_name":"Xinpeng Li","orcid":"https://orcid.org/0000-0002-4630-2181"},"institutions":[{"id":"https://openalex.org/I4210110145","display_name":"Beijing Municipal Government","ror":"https://ror.org/01xp57w77","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210110145"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinpeng Li","raw_affiliation_strings":["Beijing Municipal Administration of Government Logistics, Beijing 100010, P.\u00a0R.\u00a0China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Municipal Administration of Government Logistics, Beijing 100010, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I4210110145"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5112115755"],"corresponding_institution_ids":["https://openalex.org/I110440473"],"apc_list":null,"apc_paid":null,"fwci":0.7389,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.68291286,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"31","issue":"12","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13918","display_name":"Advanced Data and IoT Technologies","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13918","display_name":"Advanced Data and IoT Technologies","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"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":0.987500011920929,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9857000112533569,"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":0.9868271350860596},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6854999661445618},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6014529466629028},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5740736722946167},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5054519176483154},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5033664107322693},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4955176115036011},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4822595715522766},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.47041967511177063},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4260123372077942},{"id":"https://openalex.org/keywords/discontinuity","display_name":"Discontinuity (linguistics)","score":0.4160522520542145},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3252628445625305},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3159579336643219},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.16176795959472656}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.9868271350860596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6854999661445618},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6014529466629028},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5740736722946167},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5054519176483154},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5033664107322693},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4955176115036011},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4822595715522766},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.47041967511177063},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4260123372077942},{"id":"https://openalex.org/C2777042112","wikidata":"https://www.wikidata.org/wiki/Q5281658","display_name":"Discontinuity (linguistics)","level":2,"score":0.4160522520542145},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3252628445625305},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3159579336643219},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.16176795959472656},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218126622502097","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126622502097","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"No poverty","id":"https://metadata.un.org/sdg/1","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1483874305","https://openalex.org/W2000577009","https://openalex.org/W2082165536","https://openalex.org/W2608353599","https://openalex.org/W2737955903","https://openalex.org/W2860433205","https://openalex.org/W2947622416","https://openalex.org/W2949062675","https://openalex.org/W2963887671","https://openalex.org/W2965570359","https://openalex.org/W2966461575","https://openalex.org/W2971172296","https://openalex.org/W2982763192","https://openalex.org/W3033956314","https://openalex.org/W3088034552","https://openalex.org/W3091074232","https://openalex.org/W3116036704","https://openalex.org/W3147822227","https://openalex.org/W3161325351","https://openalex.org/W3168686693","https://openalex.org/W3168798228","https://openalex.org/W3170518756","https://openalex.org/W3170888612","https://openalex.org/W3186745756","https://openalex.org/W3189313199","https://openalex.org/W3190219563","https://openalex.org/W3201410046","https://openalex.org/W3201584011","https://openalex.org/W3202194958","https://openalex.org/W3210971248","https://openalex.org/W3212845011","https://openalex.org/W3214009653","https://openalex.org/W3214309058","https://openalex.org/W3215010342","https://openalex.org/W3215141990","https://openalex.org/W3217476834","https://openalex.org/W4249970585"],"related_works":["https://openalex.org/W2794492057","https://openalex.org/W3034835492","https://openalex.org/W1971303903","https://openalex.org/W2370766994","https://openalex.org/W2121879286","https://openalex.org/W3035059915","https://openalex.org/W4210427169","https://openalex.org/W2002009170","https://openalex.org/W2102205145","https://openalex.org/W1533292911"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,15,24,77,99,103,129],"address":[3],"the":[4,13,18,22,27,32,37,79,100,105,115,124,144,170],"problems":[5,38,106],"of":[6,21,29,34,39,87,107,114,182],"traditional":[7,145],"inpainting":[8,30,58,172],"algorithm":[9],"models,":[10],"such":[11],"as":[12],"inability":[14],"automatically":[16],"identify":[17],"specific":[19],"location":[20],"area":[23],"be":[25],"restored,":[26],"cost":[28],"and":[31,36,41,44,83,110,139,158,188],"difficulty":[33],"inpainting,":[35,52,91],"structural":[40,163],"texture":[42],"discontinuity":[43],"poor":[45],"model":[46,70,149],"stability":[47,113],"in":[48,89,154,162,174,180],"deep":[49],"learning-based":[50],"image":[51,57,90,171,183,190],"this":[53,175],"paper":[54,66,176],"proposes":[55],"an":[56],"based":[59,71],"on":[60,72],"a":[61,68,92,117,151,159],"contextual":[62,93],"coherent":[63,94],"attention.":[64],"This":[65],"designs":[67],"network":[69],"generative":[73],"adversarial":[74],"networks.":[75],"First,":[76],"improve":[78],"global":[80],"semantic":[81,85],"continuity":[82,86,187],"local":[84],"images":[88],"attention":[95],"layer":[96],"is":[97,121,127],"added":[98],"network;":[101],"second,":[102],"solve":[104],"slow":[108],"convergence":[109],"insufficient":[111],"training":[112],"model,":[116,147],"cross-entropy":[118],"loss":[119],"function":[120],"used;":[122],"finally,":[123],"trained":[125],"generator":[126],"used":[128],"repair":[130],"images.":[131],"The":[132,165],"experimental":[133,166],"results":[134,167],"are":[135],"compared":[136,142],"using":[137],"PSNR":[138],"SSIM":[140],"metrics,":[141],"with":[143],"GAN":[146],"our":[148],"has":[150,177],"3.782dB":[152],"improvement":[153,161],"peak":[155],"signal-to-noise":[156],"ratio":[157],"0.025%":[160],"similarity.":[164],"show":[168],"that":[169],"method":[173],"better":[178],"performance":[179],"terms":[181],"edge":[184],"processing,":[185],"pixel":[186],"overall":[189],"structure.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
