{"id":"https://openalex.org/W3003410139","doi":"https://doi.org/10.1117/12.2556645","title":"Refined image colorization using capsule generative adversarial networks","display_name":"Refined image colorization using capsule generative adversarial networks","publication_year":2020,"publication_date":"2020-01-31","ids":{"openalex":"https://openalex.org/W3003410139","doi":"https://doi.org/10.1117/12.2556645","mag":"3003410139"},"language":"en","primary_location":{"id":"doi:10.1117/12.2556645","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2556645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Twelfth International Conference on Machine Vision (ICMV 2019)","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/A5032490478","display_name":"Raggi Hosni","orcid":null},"institutions":[{"id":"https://openalex.org/I154023281","display_name":"British University in Egypt","ror":"https://ror.org/0066fxv63","country_code":"EG","type":"education","lineage":["https://openalex.org/I154023281"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Raggi Hosni","raw_affiliation_strings":["The British Univ. in Egypt (Egypt)"],"affiliations":[{"raw_affiliation_string":"The British Univ. in Egypt (Egypt)","institution_ids":["https://openalex.org/I154023281"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019851286","display_name":"Walid Hussein","orcid":"https://orcid.org/0000-0001-5928-6240"},"institutions":[{"id":"https://openalex.org/I154023281","display_name":"British University in Egypt","ror":"https://ror.org/0066fxv63","country_code":"EG","type":"education","lineage":["https://openalex.org/I154023281"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Walid Hussein","raw_affiliation_strings":["The British Univ. in Egypt (Egypt)"],"affiliations":[{"raw_affiliation_string":"The British Univ. in Egypt (Egypt)","institution_ids":["https://openalex.org/I154023281"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5032490478"],"corresponding_institution_ids":["https://openalex.org/I154023281"],"apc_list":null,"apc_paid":null,"fwci":0.0977,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.3558009,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"19","last_page":"19"},"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":0.9990000128746033,"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":0.9990000128746033,"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":0.9941999912261963,"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":0.9750000238418579,"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/discriminator","display_name":"Discriminator","score":0.8788074254989624},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6931959390640259},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6640304923057556},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6622806787490845},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6594529151916504},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6091824769973755},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5323394536972046},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4827263057231903},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4510384202003479},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44937729835510254},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.44569164514541626},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4061526358127594},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37457284331321716},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1319233775138855},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09326422214508057}],"concepts":[{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.8788074254989624},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6931959390640259},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6640304923057556},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6622806787490845},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6594529151916504},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6091824769973755},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5323394536972046},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4827263057231903},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4510384202003479},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44937729835510254},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.44569164514541626},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4061526358127594},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37457284331321716},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1319233775138855},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09326422214508057},{"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/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2556645","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2556645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Twelfth International Conference on Machine Vision (ICMV 2019)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2995777218","https://openalex.org/W3217069185","https://openalex.org/W4308928038","https://openalex.org/W3049340819","https://openalex.org/W4200430540","https://openalex.org/W3141413246","https://openalex.org/W2888032422","https://openalex.org/W4322709305","https://openalex.org/W2808862658","https://openalex.org/W4391899165"],"abstract_inverted_index":{"Automatic":[0],"image":[1,37,108],"colorization":[2,24,51,109],"has":[3,15],"increasingly":[4],"become":[5,16],"a":[6,81,100,103],"heavily":[7],"researched":[8],"topic":[9],"over":[10],"the":[11,50,55,63,73,78,107],"last":[12],"decade.":[13],"It":[14],"of":[17,25,57,62,80],"interest":[18],"for":[19,49],"many":[20,60],"application":[21],"areas":[22],"including":[23],"black":[26],"and":[27,34],"white":[28],"movies,":[29],"historical":[30],"images,":[31],"surveillance":[32],"feeds":[33],"generally":[35],"old":[36],"restoration.":[38],"Recent":[39],"state-of-the-art":[40],"methods":[41],"utilize":[42],"Deep":[43],"Convolutional":[44],"Generative":[45],"Adversarial":[46],"Networks":[47],"(DCGAN)":[48],"process.":[52],"However,":[53],"with":[54,86],"introduction":[56],"capsule":[58,87,97],"networks,":[59],"flaws":[61],"convolutional":[64,74],"neural":[65],"networks":[66,98],"began":[67],"to":[68,94],"surface.":[69],"In":[70],"this":[71],"paper,":[72],"network":[75,88],"layers":[76],"inside":[77],"discriminator":[79,101],"DCGAN":[82,104],"will":[83],"be":[84],"replaced":[85],"layers.":[89],"Further":[90],"studies":[91],"are":[92],"employed":[93],"show":[95],"how":[96],"as":[99],"in":[102,106],"perform":[105],"task.":[110]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}