{"id":"https://openalex.org/W1985600174","doi":"https://doi.org/10.1109/acssc.2013.6810654","title":"Colorization based on piecewise autoregressive model","display_name":"Colorization based on piecewise autoregressive model","publication_year":2013,"publication_date":"2013-11-01","ids":{"openalex":"https://openalex.org/W1985600174","doi":"https://doi.org/10.1109/acssc.2013.6810654","mag":"1985600174"},"language":"en","primary_location":{"id":"doi:10.1109/acssc.2013.6810654","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2013.6810654","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Asilomar Conference on Signals, Systems and Computers","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/A5103396133","display_name":"Y. Nakajima","orcid":"https://orcid.org/0000-0002-2744-5216"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yasuhiro Nakajima","raw_affiliation_strings":["EEE Dept, Keio University Yokohama, Yokohama, Kanagawa, Japan","EEE Dept., Keio University: Yokohama, Kanagawa, 223-8522 Japan"],"affiliations":[{"raw_affiliation_string":"EEE Dept, Keio University Yokohama, Yokohama, Kanagawa, Japan","institution_ids":["https://openalex.org/I203951103"]},{"raw_affiliation_string":"EEE Dept., Keio University: Yokohama, Kanagawa, 223-8522 Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102786110","display_name":"Takashi Ueno","orcid":"https://orcid.org/0000-0002-3283-6123"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takashi Ueno","raw_affiliation_strings":["EEE Dept, Keio University Yokohama, Yokohama, Kanagawa, Japan","EEE Dept., Keio University: Yokohama, Kanagawa, 223-8522 Japan"],"affiliations":[{"raw_affiliation_string":"EEE Dept, Keio University Yokohama, Yokohama, Kanagawa, Japan","institution_ids":["https://openalex.org/I203951103"]},{"raw_affiliation_string":"EEE Dept., Keio University: Yokohama, Kanagawa, 223-8522 Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091748055","display_name":"Taichi Yoshida","orcid":"https://orcid.org/0000-0002-2463-8231"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Taichi Yoshida","raw_affiliation_strings":["EEE Dept, Keio University Yokohama, Yokohama, Kanagawa, Japan","EEE Dept., Keio University: Yokohama, Kanagawa, 223-8522 Japan"],"affiliations":[{"raw_affiliation_string":"EEE Dept, Keio University Yokohama, Yokohama, Kanagawa, Japan","institution_ids":["https://openalex.org/I203951103"]},{"raw_affiliation_string":"EEE Dept., Keio University: Yokohama, Kanagawa, 223-8522 Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090181402","display_name":"Masaaki Ikehara","orcid":"https://orcid.org/0000-0003-3461-1507"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaaki Ikehara","raw_affiliation_strings":["EEE Dept, Keio University Yokohama, Yokohama, Kanagawa, Japan","EEE Dept., Keio University: Yokohama, Kanagawa, 223-8522 Japan"],"affiliations":[{"raw_affiliation_string":"EEE Dept, Keio University Yokohama, Yokohama, Kanagawa, Japan","institution_ids":["https://openalex.org/I203951103"]},{"raw_affiliation_string":"EEE Dept., Keio University: Yokohama, Kanagawa, 223-8522 Japan","institution_ids":["https://openalex.org/I203951103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103396133"],"corresponding_institution_ids":["https://openalex.org/I203951103"],"apc_list":null,"apc_paid":null,"fwci":0.2722,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5712448,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"10","issue":null,"first_page":"1990","last_page":"1994"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9812999963760376,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9812999963760376,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9675999879837036,"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":0.9341999888420105,"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/grayscale","display_name":"Grayscale","score":0.8745790719985962},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.8587163686752319},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.8586264848709106},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7462117671966553},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6831780076026917},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.622156023979187},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5904372334480286},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5200759768486023},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4366234540939331},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4054246246814728},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3514999449253082},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3124326765537262},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10136014223098755}],"concepts":[{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.8745790719985962},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.8587163686752319},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.8586264848709106},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7462117671966553},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6831780076026917},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.622156023979187},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5904372334480286},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5200759768486023},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4366234540939331},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4054246246814728},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3514999449253082},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3124326765537262},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10136014223098755},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acssc.2013.6810654","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acssc.2013.6810654","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Asilomar Conference on Signals, Systems and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.550000011920929,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1967441049","https://openalex.org/W2080875060","https://openalex.org/W2124378283","https://openalex.org/W2136154655","https://openalex.org/W2172128189","https://openalex.org/W2240798854","https://openalex.org/W6642029968"],"related_works":["https://openalex.org/W115686965","https://openalex.org/W2768918307","https://openalex.org/W2110031805","https://openalex.org/W2040020606","https://openalex.org/W4362659915","https://openalex.org/W2050926897","https://openalex.org/W2113071088","https://openalex.org/W2321543601","https://openalex.org/W1691631808","https://openalex.org/W1586320973"],"abstract_inverted_index":{"Colorization":[0],"is":[1],"a":[2],"technique":[3],"to":[4],"produce":[5],"color":[6,12],"components":[7],"for":[8],"grayscale":[9],"images":[10,67],"with":[11,27,69],"assigned":[13],"information":[14],"provided":[15],"by":[16],"the":[17,25,37,42,70],"user.":[18],"The":[19,47],"conventional":[20,71],"method":[21,39,49],"colorizes":[22],"via":[23],"propagating":[24],"assignations":[26],"weights":[28,51],"of":[29,55,65],"neighborhood":[30],"pixels.":[31],"In":[32],"this":[33],"paper,":[34],"we":[35],"propose":[36],"colorization":[38],"based":[40],"on":[41],"piecewise":[43],"auto-regressive":[44],"(AR)":[45],"model.":[46],"proposed":[48],"calculates":[50],"considering":[52],"taking":[53],"account":[54],"an":[56],"image":[57],"structure,":[58],"and":[59,62],"improves":[60],"objective":[61],"perceptual":[63],"qualities":[64],"colorized":[66],"compared":[68],"method.":[72]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
