{"id":"https://openalex.org/W2922246340","doi":"https://doi.org/10.23919/apsipa.2018.8659720","title":"Colorization Algorithm based on Image Segmentation and Graph Signal Processing","display_name":"Colorization Algorithm based on Image Segmentation and Graph Signal Processing","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2922246340","doi":"https://doi.org/10.23919/apsipa.2018.8659720","mag":"2922246340"},"language":"en","primary_location":{"id":"doi:10.23919/apsipa.2018.8659720","is_oa":false,"landing_page_url":"https://doi.org/10.23919/apsipa.2018.8659720","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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/A5034696095","display_name":"Mamoru Sugawara","orcid":"https://orcid.org/0000-0002-2153-7590"},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Mamoru Sugawara","raw_affiliation_strings":["Tokyo University of Science, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo University of Science, Tokyo, Japan","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042062082","display_name":"Kazunori Uruma","orcid":"https://orcid.org/0000-0002-3915-6796"},"institutions":[{"id":"https://openalex.org/I116465919","display_name":"Kogakuin University","ror":"https://ror.org/01wc2tq75","country_code":"JP","type":"education","lineage":["https://openalex.org/I116465919"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazunori Uruma","raw_affiliation_strings":["Kogakuin University"],"affiliations":[{"raw_affiliation_string":"Kogakuin University","institution_ids":["https://openalex.org/I116465919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056109905","display_name":"Seiichiro Hangai","orcid":null},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Seiichiro Hangai","raw_affiliation_strings":["Tokyo University of Science, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo University of Science, Tokyo, Japan","institution_ids":["https://openalex.org/I161296585"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5034696095"],"corresponding_institution_ids":["https://openalex.org/I161296585"],"apc_list":null,"apc_paid":null,"fwci":0.1045,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.49399131,"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":"1132","last_page":"1136"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.989799976348877,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.989799976348877,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9872000217437744,"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":0.8199037313461304},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6565864682197571},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6360838413238525},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5595671534538269},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5505675077438354},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5409266948699951},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5360683798789978},{"id":"https://openalex.org/keywords/colored","display_name":"Colored","score":0.5337532162666321},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5169262290000916},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.4400528073310852},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4078303575515747},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3990592062473297},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1062731146812439}],"concepts":[{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.8199037313461304},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6565864682197571},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6360838413238525},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5595671534538269},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5505675077438354},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5409266948699951},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5360683798789978},{"id":"https://openalex.org/C2778307483","wikidata":"https://www.wikidata.org/wiki/Q5149038","display_name":"Colored","level":2,"score":0.5337532162666321},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5169262290000916},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.4400528073310852},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4078303575515747},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3990592062473297},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1062731146812439},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/apsipa.2018.8659720","is_oa":false,"landing_page_url":"https://doi.org/10.23919/apsipa.2018.8659720","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1986416281","https://openalex.org/W1991252559","https://openalex.org/W2070936798","https://openalex.org/W2101491865","https://openalex.org/W2118246710","https://openalex.org/W2119699244","https://openalex.org/W2120963736","https://openalex.org/W2295537950","https://openalex.org/W2343344684","https://openalex.org/W4246399762"],"related_works":["https://openalex.org/W2562072950","https://openalex.org/W2792489537","https://openalex.org/W2962819983","https://openalex.org/W3169734547","https://openalex.org/W4310175020","https://openalex.org/W2742029448","https://openalex.org/W2947891047","https://openalex.org/W2571757032","https://openalex.org/W2078870957","https://openalex.org/W4285814846"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,23,37],"new":[4],"colorization":[5],"algorithm":[6,83],"for":[7],"converting":[8],"grayscale":[9,44],"image":[10,13,31,62],"to":[11,21,76],"color":[12,58,89],"by":[14,65],"using":[15,71],"several":[16,56],"colored":[17],"pixels.":[18],"In":[19],"order":[20],"obtain":[22],"properly":[24],"colorized":[25,64],"image,":[26,45],"graph":[27,38,46,52],"signal":[28,47],"processing":[29],"and":[30],"segmentation":[32],"technique":[33,49],"are":[34],"introduced.":[35],"After":[36],"is":[39,63],"constructed":[40],"on":[41,51],"the":[42,66,86,92],"given":[43],"recovery":[48],"based":[50],"Fourier":[53],"transform":[54],"recovers":[55],"important":[57],"information.":[59],"The":[60,81],"whole":[61],"Levin's":[67,93],"algorithm.":[68,94],"Experimental":[69],"results":[70],"5":[72],"images":[73],"show":[74],"1.82dB":[75],"10.2dB":[77],"improvement":[78],"in":[79],"PSNR.":[80],"proposed":[82],"also":[84],"reduces":[85],"fading":[87],"of":[88],"compared":[90],"with":[91]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
