{"id":"https://openalex.org/W2608029800","doi":"https://doi.org/10.1109/icpr.2016.7900208","title":"Fully automatic image colorization based on Convolutional Neural Network","display_name":"Fully automatic image colorization based on Convolutional Neural Network","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2608029800","doi":"https://doi.org/10.1109/icpr.2016.7900208","mag":"2608029800"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2016.7900208","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7900208","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","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/A5000796892","display_name":"Domonkos Varga","orcid":"https://orcid.org/0000-0003-3265-5047"},"institutions":[{"id":"https://openalex.org/I29770179","display_name":"Budapest University of Technology and Economics","ror":"https://ror.org/02w42ss30","country_code":"HU","type":"education","lineage":["https://openalex.org/I29770179"]},{"id":"https://openalex.org/I4210117195","display_name":"Institute for Computer Science and Control","ror":"https://ror.org/0249v7n71","country_code":"HU","type":"facility","lineage":["https://openalex.org/I4210117195","https://openalex.org/I7597260"]}],"countries":["HU"],"is_corresponding":true,"raw_author_name":"Domonkos Varga","raw_affiliation_strings":["Department of Networked Systems and Services, Budapest University of Technology","MTA SZTAKI, Institute for Computer Science and Control"],"affiliations":[{"raw_affiliation_string":"Department of Networked Systems and Services, Budapest University of Technology","institution_ids":["https://openalex.org/I29770179"]},{"raw_affiliation_string":"MTA SZTAKI, Institute for Computer Science and Control","institution_ids":["https://openalex.org/I4210117195"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068908845","display_name":"Tam\u00e1s Szir\u00e1nyi","orcid":"https://orcid.org/0000-0003-2989-0214"},"institutions":[{"id":"https://openalex.org/I4210117195","display_name":"Institute for Computer Science and Control","ror":"https://ror.org/0249v7n71","country_code":"HU","type":"facility","lineage":["https://openalex.org/I4210117195","https://openalex.org/I7597260"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Tamas Sziranyi","raw_affiliation_strings":["Department of Material Handling and Logistics Systems, Budapest University of Technology","MTA SZTAKI, Institute for Computer Science and Control"],"affiliations":[{"raw_affiliation_string":"Department of Material Handling and Logistics Systems, Budapest University of Technology","institution_ids":[]},{"raw_affiliation_string":"MTA SZTAKI, Institute for Computer Science and Control","institution_ids":["https://openalex.org/I4210117195"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5000796892"],"corresponding_institution_ids":["https://openalex.org/I29770179","https://openalex.org/I4210117195"],"apc_list":null,"apc_paid":null,"fwci":1.6895,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.8992533,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3691","last_page":"3696"},"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":0.9980000257492065,"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":0.9980000257492065,"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":0.9958999752998352,"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/T10862","display_name":"AI in cancer detection","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.833741307258606},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8094116449356079},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6960668563842773},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.648171067237854},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5639809966087341},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5375120043754578},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5172761082649231},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4919881522655487},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4914051294326782},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.48293229937553406},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47156402468681335},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.463614284992218},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4144023656845093}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.833741307258606},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8094116449356079},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6960668563842773},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.648171067237854},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5639809966087341},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5375120043754578},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5172761082649231},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4919881522655487},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4914051294326782},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.48293229937553406},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47156402468681335},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.463614284992218},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4144023656845093},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr.2016.7900208","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7900208","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.sztaki.hu:9023","is_oa":false,"landing_page_url":"http://eprints.sztaki.hu/9023/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401907","display_name":"SZTAKI Publication Repository (Hungarian Academy of Sciences)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I7597260","host_organization_name":"Hungarian Academy of Sciences","host_organization_lineage":["https://openalex.org/I7597260"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Book Section"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321994","display_name":"Hungarian Scientific Research Fund","ror":"https://ror.org/00v349e63"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W996591170","https://openalex.org/W1686810756","https://openalex.org/W1694135408","https://openalex.org/W1919542679","https://openalex.org/W2005964300","https://openalex.org/W2007607024","https://openalex.org/W2017814585","https://openalex.org/W2101118164","https://openalex.org/W2104853049","https://openalex.org/W2111364271","https://openalex.org/W2116456623","https://openalex.org/W2120963736","https://openalex.org/W2125085157","https://openalex.org/W2129112648","https://openalex.org/W2136154655","https://openalex.org/W2144354855","https://openalex.org/W2162831671","https://openalex.org/W2163605009","https://openalex.org/W2200528286","https://openalex.org/W2211456655","https://openalex.org/W2239585989","https://openalex.org/W2295537950","https://openalex.org/W2962820688","https://openalex.org/W2962835968","https://openalex.org/W3000407986","https://openalex.org/W6626086950","https://openalex.org/W6637373629","https://openalex.org/W6651698403","https://openalex.org/W6675362059","https://openalex.org/W6677681515","https://openalex.org/W6684191040","https://openalex.org/W6690259968"],"related_works":["https://openalex.org/W115686965","https://openalex.org/W2768918307","https://openalex.org/W2040020606","https://openalex.org/W2110031805","https://openalex.org/W2113071088","https://openalex.org/W2972861887","https://openalex.org/W2321543601","https://openalex.org/W1990016983","https://openalex.org/W2393930098","https://openalex.org/W3148587068"],"abstract_inverted_index":{"This":[0,7],"paper":[1,84],"deals":[2],"with":[3],"automatic":[4,30,88],"image":[5,56],"colorization.":[6,153],"is":[8,15,32,35,91,141],"a":[9,60,86,134],"very":[10],"difficult":[11],"task,":[12],"since":[13],"it":[14],"an":[16,42,147],"ill-posed":[17],"problem":[18],"that":[19,34,69,125,140],"usually":[20],"requires":[21],"user":[22],"intervention":[23],"to":[24,37,93],"achieve":[25],"high":[26],"quality.":[27],"A":[28],"fully":[29,87],"approach":[31],"proposed":[33],"able":[36,92],"produce":[38,94],"realistic":[39,97],"colorization":[40,89,98],"of":[41,51,79,100,115,152],"input":[43],"grayscale":[44],"image.":[45],"Motivated":[46],"by":[47],"the":[48,71,80,113,150],"recent":[49],"success":[50],"deep":[52],"learning":[53],"techniques":[54],"in":[55,131],"processing,":[57],"we":[58,143],"propose":[59],"feed-forward,":[61],"two-stage":[62],"architecture":[63],"based":[64],"on":[65,112,119],"Convolutional":[66],"Neural":[67],"Network":[68],"predicts":[70],"U":[72],"and":[73,96,105,107,118],"V":[74],"color":[75],"channels.":[76],"Unlike":[77],"most":[78],"previous":[81],"works,":[82],"this":[83],"presents":[85],"which":[90],"high-quality":[95],"even":[99],"complex":[101],"scenes.":[102],"Comprehensive":[103],"experiments":[104],"qualitative":[106],"quantitative":[108,138],"evaluations":[109],"were":[110],"conducted":[111],"images":[114],"SUN":[116],"database":[117],"other":[120],"images.":[121],"We":[122],"have":[123],"found":[124],"Quaternion":[126],"Structural":[127],"Similarity":[128],"(QSSIM)":[129],"gives":[130],"some":[132],"degree":[133],"good":[135],"base":[136],"for":[137,149],"evaluation,":[139],"why":[142],"chose":[144],"QSSIM":[145],"as":[146],"index-number":[148],"quality":[151]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}