{"id":"https://openalex.org/W2724457587","doi":"https://doi.org/10.3390/s17071523","title":"Colorization-Based RGB-White Color Interpolation using Color Filter Array with Randomly Sampled Pattern","display_name":"Colorization-Based RGB-White Color Interpolation using Color Filter Array with Randomly Sampled Pattern","publication_year":2017,"publication_date":"2017-06-28","ids":{"openalex":"https://openalex.org/W2724457587","doi":"https://doi.org/10.3390/s17071523","mag":"2724457587","pmid":"https://pubmed.ncbi.nlm.nih.gov/28657602"},"language":"en","primary_location":{"id":"doi:10.3390/s17071523","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s17071523","pdf_url":"https://www.mdpi.com/1424-8220/17/7/1523/pdf?version=1498650084","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/17/7/1523/pdf?version=1498650084","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110190609","display_name":"Paul Oh","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Paul Oh","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-Ku, Seoul 03722, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-Ku, Seoul 03722, Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002043304","display_name":"Suk\u2010Ho Lee","orcid":"https://orcid.org/0000-0003-4117-5619"},"institutions":[{"id":"https://openalex.org/I102786147","display_name":"Dongseo University","ror":"https://ror.org/00wygsf57","country_code":"KR","type":"education","lineage":["https://openalex.org/I102786147"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sukho Lee","raw_affiliation_strings":["Department of Software Engineering, Dongseo University, 47 Jurye-ro, Sasang-Ku, Busan 47011, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Software Engineering, Dongseo University, 47 Jurye-ro, Sasang-Ku, Busan 47011, Korea","institution_ids":["https://openalex.org/I102786147"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027284352","display_name":"Moon Gi Kang","orcid":"https://orcid.org/0000-0002-5771-929X"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Moon Kang","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-Ku, Seoul 03722, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-Ku, Seoul 03722, Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5027284352"],"corresponding_institution_ids":["https://openalex.org/I193775966"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.7393,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.80574283,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"17","issue":"7","first_page":"1523","last_page":"1523"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9991999864578247,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9991999864578247,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9991999864578247,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/demosaicing","display_name":"Demosaicing","score":0.8718695640563965},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.8286517858505249},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7432235479354858},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6810542941093445},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6567326784133911},{"id":"https://openalex.org/keywords/color-filter-array","display_name":"Color filter array","score":0.6217714548110962},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.5602700114250183},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5283147692680359},{"id":"https://openalex.org/keywords/bayer-filter","display_name":"Bayer filter","score":0.5230991840362549},{"id":"https://openalex.org/keywords/high-color","display_name":"High color","score":0.5143972039222717},{"id":"https://openalex.org/keywords/color-depth","display_name":"Color depth","score":0.4740157723426819},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.44951605796813965},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.43250972032546997},{"id":"https://openalex.org/keywords/color-histogram","display_name":"Color histogram","score":0.4315558671951294},{"id":"https://openalex.org/keywords/rgb-color-space","display_name":"RGB color space","score":0.425700843334198},{"id":"https://openalex.org/keywords/color-gel","display_name":"Color gel","score":0.3310545086860657},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.24002212285995483},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.206650972366333},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.06535184383392334},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.058796972036361694}],"concepts":[{"id":"https://openalex.org/C27624317","wikidata":"https://www.wikidata.org/wiki/Q263499","display_name":"Demosaicing","level":5,"score":0.8718695640563965},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.8286517858505249},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7432235479354858},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6810542941093445},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6567326784133911},{"id":"https://openalex.org/C177299597","wikidata":"https://www.wikidata.org/wiki/Q2468214","display_name":"Color filter array","level":5,"score":0.6217714548110962},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.5602700114250183},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5283147692680359},{"id":"https://openalex.org/C5622133","wikidata":"https://www.wikidata.org/wiki/Q812133","display_name":"Bayer filter","level":5,"score":0.5230991840362549},{"id":"https://openalex.org/C131910990","wikidata":"https://www.wikidata.org/wiki/Q1202284","display_name":"High color","level":5,"score":0.5143972039222717},{"id":"https://openalex.org/C91522604","wikidata":"https://www.wikidata.org/wiki/Q690110","display_name":"Color depth","level":5,"score":0.4740157723426819},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.44951605796813965},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.43250972032546997},{"id":"https://openalex.org/C12043971","wikidata":"https://www.wikidata.org/wiki/Q2636542","display_name":"Color histogram","level":5,"score":0.4315558671951294},{"id":"https://openalex.org/C84216515","wikidata":"https://www.wikidata.org/wiki/Q375677","display_name":"RGB color space","level":5,"score":0.425700843334198},{"id":"https://openalex.org/C142771000","wikidata":"https://www.wikidata.org/wiki/Q1435398","display_name":"Color gel","level":4,"score":0.3310545086860657},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.24002212285995483},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.206650972366333},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.06535184383392334},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.058796972036361694},{"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/C87359718","wikidata":"https://www.wikidata.org/wiki/Q1271916","display_name":"Thin-film transistor","level":3,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/s17071523","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s17071523","pdf_url":"https://www.mdpi.com/1424-8220/17/7/1523/pdf?version=1498650084","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:28657602","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28657602","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:europepmc.org:4394258","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5539695","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"pmh:oai:mdpi.com:/1424-8220/17/7/1523/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s17071523","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 17; Issue 7; Pages: 1523","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s17071523","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s17071523","pdf_url":"https://www.mdpi.com/1424-8220/17/7/1523/pdf?version=1498650084","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1501033564","display_name":null,"funder_award_id":"2015R1A2A1A14000912","funder_id":"https://openalex.org/F4320322030","funder_display_name":"Ministry of Science, ICT and Future Planning"},{"id":"https://openalex.org/G7560013578","display_name":null,"funder_award_id":"2015R1A2A1A14000912","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322030","display_name":"Ministry of Science, ICT and Future Planning","ror":"https://ror.org/032e49973"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2724457587.pdf","grobid_xml":"https://content.openalex.org/works/W2724457587.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1967965586","https://openalex.org/W1970951612","https://openalex.org/W1975389663","https://openalex.org/W1999046526","https://openalex.org/W2006262236","https://openalex.org/W2008346065","https://openalex.org/W2021517349","https://openalex.org/W2030227655","https://openalex.org/W2052090926","https://openalex.org/W2056370875","https://openalex.org/W2076205488","https://openalex.org/W2085770918","https://openalex.org/W2088828956","https://openalex.org/W2100109944","https://openalex.org/W2106109550","https://openalex.org/W2106111212","https://openalex.org/W2107558608","https://openalex.org/W2123094559","https://openalex.org/W2125188192","https://openalex.org/W2133807827","https://openalex.org/W2136154655","https://openalex.org/W2140573010","https://openalex.org/W2141983208","https://openalex.org/W2149354278","https://openalex.org/W2152178471","https://openalex.org/W2153377815","https://openalex.org/W2155838693","https://openalex.org/W2158358999","https://openalex.org/W2164847484","https://openalex.org/W2168881191","https://openalex.org/W2169757110","https://openalex.org/W2263237637","https://openalex.org/W2295904998","https://openalex.org/W2295952922","https://openalex.org/W2472745537","https://openalex.org/W2489248702","https://openalex.org/W3150505450","https://openalex.org/W4229602251"],"related_works":["https://openalex.org/W2089632803","https://openalex.org/W2036531120","https://openalex.org/W2978937364","https://openalex.org/W1986138551","https://openalex.org/W2912846428","https://openalex.org/W1997784530","https://openalex.org/W2092661809","https://openalex.org/W4367054287","https://openalex.org/W2042638450","https://openalex.org/W2724457587"],"abstract_inverted_index":{"Recently,":[0],"several":[1],"RGB-White":[2],"(RGBW)":[3],"color":[4,43,86,94,105,113,132,139,148,155,185,237,267],"filter":[5,19,47,106,156,186],"arrays":[6],"(CFAs)":[7],"have":[8,12,33],"been":[9],"proposed,":[10],"which":[11,78,262],"extra":[13],"white":[14],"(W)":[15],"pixels":[16,32,44,168,202],"in":[17,45,50,251,266,275],"the":[18,27,30,46,57,64,73,84,116,153,171,174,179,199,207,217,229,235,276,280],"array":[20,107,157,187],"that":[21,63,152,258],"are":[22,60,203,263,273],"highly":[23,175],"sensitive.":[24],"Due":[25,227],"to":[26,37,169,215,228],"high":[28,241],"sensitivity,":[29],"W":[31,167,180,196,233],"better":[34],"SNR":[35,242],"(Signal":[36],"Noise":[38],"Ratio)":[39],"characteristics":[40,177],"than":[41,246],"other":[42],"array,":[48],"especially,":[49],"low":[51,252],"light":[52,253],"conditions.":[53],"However,":[54],"most":[55,172],"of":[56,138,166,173,178,195,224,232,248],"RGBW":[58,66,104,154,184],"CFAs":[59,250,272],"designed":[61,160],"so":[62,151],"acquired":[65],"pattern":[67,76,190],"image":[68,87,129,133,238],"can":[69,158],"be":[70,159],"converted":[71,82],"into":[72,83,130],"conventional":[74,90,249,271],"Bayer":[75],"image,":[77],"is":[79],"then":[80],"again":[81],"final":[85],"by":[88],"using":[89,134],"demosaicing":[91],"methods,":[92],"i.e.,":[93],"interpolation":[95,114,149],"techniques.":[96],"In":[97],"this":[98,144],"paper,":[99],"we":[100,142],"propose":[101],"a":[102,110,127,131,135,147,162,189,192,221,240],"new":[103],"based":[108],"on":[109],"totally":[111],"different":[112],"technique,":[115,150],"colorization":[117,120,210],"algorithm.":[118],"The":[119,182,209],"algorithm":[121,145,211],"was":[122],"initially":[123],"proposed":[124,281],"for":[125],"colorizing":[126],"gray":[128],"small":[136,222],"number":[137,165,223],"seeds.":[140],"Here,":[141],"adopt":[143],"as":[146],"with":[161,191,270,279],"very":[163],"large":[164,193,230],"make":[170],"sensitive":[176],"channel.":[181],"resulting":[183],"has":[188,239],"proportion":[194,231],"pixels,":[197,234],"while":[198],"small-numbered":[200],"RGB":[201,225],"randomly":[204],"distributed":[205],"over":[206],"array.":[208],"makes":[212],"it":[213],"possible":[214],"reconstruct":[216],"colors":[218],"from":[219],"such":[220],"values.":[226],"reconstructed":[236,269,278],"value,":[243],"especially":[244],"higher":[245],"those":[247],"condition.":[254],"Experimental":[255],"results":[256],"show":[257],"many":[259],"important":[260],"information":[261],"not":[264],"perceived":[265,274],"images":[268,277],"method.":[282]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}