{"id":"https://openalex.org/W3013957225","doi":"https://doi.org/10.1109/icce46568.2020.9043160","title":"H-GAN: Deep Learning Model for Halftoning and its Reconstruction","display_name":"H-GAN: Deep Learning Model for Halftoning and its Reconstruction","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3013957225","doi":"https://doi.org/10.1109/icce46568.2020.9043160","mag":"3013957225"},"language":"en","primary_location":{"id":"doi:10.1109/icce46568.2020.9043160","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce46568.2020.9043160","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Consumer Electronics (ICCE)","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/A5089868194","display_name":"Jing-Ming Guo","orcid":"https://orcid.org/0000-0002-8041-6326"},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Jing-Ming Guo","raw_affiliation_strings":["Dept. of Electrical Engineering, National Taiwan University of Science and Technology, Taiwan"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering, National Taiwan University of Science and Technology, Taiwan","institution_ids":["https://openalex.org/I154864474"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109878725","display_name":"S Sankarasrinivasan","orcid":null},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"S Sankarasrinivasan","raw_affiliation_strings":["Dept. of Electrical Engineering, National Taiwan University of Science and Technology, Taiwan"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering, National Taiwan University of Science and Technology, Taiwan","institution_ids":["https://openalex.org/I154864474"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5089868194"],"corresponding_institution_ids":["https://openalex.org/I154864474"],"apc_list":null,"apc_paid":null,"fwci":1.6843,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.83821671,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"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":0.96670001745224,"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":0.9603999853134155,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/halftone","display_name":"Halftone","score":0.9251140356063843},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7469304800033569},{"id":"https://openalex.org/keywords/image-translation","display_name":"Image translation","score":0.6473925113677979},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.631808876991272},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5727694630622864},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5553125143051147},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.5315757989883423},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.5231826901435852},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48392778635025024},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48150238394737244},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.45451661944389343},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.45216360688209534},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.45052817463874817},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.41848084330558777},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.399664044380188},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3565177917480469}],"concepts":[{"id":"https://openalex.org/C2777635815","wikidata":"https://www.wikidata.org/wiki/Q1110021","display_name":"Halftone","level":3,"score":0.9251140356063843},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7469304800033569},{"id":"https://openalex.org/C2779757391","wikidata":"https://www.wikidata.org/wiki/Q6002292","display_name":"Image translation","level":3,"score":0.6473925113677979},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.631808876991272},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5727694630622864},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5553125143051147},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.5315757989883423},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.5231826901435852},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48392778635025024},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48150238394737244},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.45451661944389343},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.45216360688209534},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.45052817463874817},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.41848084330558777},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.399664044380188},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3565177917480469},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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":1,"locations":[{"id":"doi:10.1109/icce46568.2020.9043160","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce46568.2020.9043160","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Consumer Electronics (ICCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1481657125","https://openalex.org/W2104252854","https://openalex.org/W2124011559","https://openalex.org/W2189344795","https://openalex.org/W2919099581","https://openalex.org/W2921616713","https://openalex.org/W2962793481","https://openalex.org/W4285719527","https://openalex.org/W6628908159","https://openalex.org/W6675589044"],"related_works":["https://openalex.org/W4251316475","https://openalex.org/W387710534","https://openalex.org/W608034372","https://openalex.org/W4385421777","https://openalex.org/W2905311601","https://openalex.org/W3178813832","https://openalex.org/W2988458970","https://openalex.org/W2805898668","https://openalex.org/W4401513331","https://openalex.org/W3163502926"],"abstract_inverted_index":{"Digital":[0],"halftone":[1],"deals":[2],"with":[3,60,87],"transforming":[4],"a":[5,17],"gray":[6],"scale":[7],"image":[8,42,44],"into":[9],"its":[10,29],"printable":[11],"binary":[12],"version.":[13],"In":[14],"this":[15,74],"paper,":[16],"generative":[18],"adversarial":[19],"network-based":[20],"model":[21,34,48,57,66,85],"is":[22,35,58,68],"proposed":[23],"to":[24,43,73],"perform":[25],"both":[26,50,91],"halftoning":[27],"and":[28,46,64],"structural":[30,62],"reconstruction.":[31],"The":[32],"GAN":[33],"based":[36],"on":[37],"the":[38,47,56,65,84],"concept":[39],"of":[40],"unpaired":[41],"translation":[45],"learns":[49],"transformations":[51],"simultaneously.":[52],"For":[53],"optimal":[54],"training,":[55],"feed":[59],"high":[61],"data":[63],"architechture":[67],"also":[69],"modified":[70],"in":[71,90],"accordance":[72],"transformation":[75],"problem.":[76],"From":[77],"results,":[78],"it":[79],"has":[80],"been":[81],"validated":[82],"that":[83],"performs":[86],"consistent":[88],"accuracy":[89],"transformations.":[92]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3}],"updated_date":"2026-03-01T08:55:55.761014","created_date":"2025-10-10T00:00:00"}
