{"id":"https://openalex.org/W2189617061","doi":"https://doi.org/10.1109/icmlc.2015.7340958","title":"Quality-efficient universal demosaicing for arbitrary color filter array videos using spatial and temporal correlations","display_name":"Quality-efficient universal demosaicing for arbitrary color filter array videos using spatial and temporal correlations","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W2189617061","doi":"https://doi.org/10.1109/icmlc.2015.7340958","mag":"2189617061"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2015.7340958","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2015.7340958","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Machine Learning and Cybernetics (ICMLC)","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/A5002873579","display_name":"Kuo\u2010Liang Chung","orcid":"https://orcid.org/0000-0002-0946-7948"},"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":"Kuo-Liang Chung","raw_affiliation_strings":["Department of CSIE, National Taiwan University of Science and Technology, Taipei, Taiwan (R.O.C.)"],"affiliations":[{"raw_affiliation_string":"Department of CSIE, National Taiwan University of Science and Technology, Taipei, Taiwan (R.O.C.)","institution_ids":["https://openalex.org/I154864474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088216919","display_name":"Chien-Hsiung Lin","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":"Chien-Hsiung Lin","raw_affiliation_strings":["Department of CSIE, National Taiwan University of Science and Technology, Taipei, Taiwan (R.O.C.)"],"affiliations":[{"raw_affiliation_string":"Department of CSIE, National Taiwan University of Science and Technology, Taipei, Taiwan (R.O.C.)","institution_ids":["https://openalex.org/I154864474"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046538082","display_name":"Wei-Chen Jian","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":"Wei-Chen Jian","raw_affiliation_strings":["Department of CSIE, National Taiwan University of Science and Technology, Taipei, Taiwan (R.O.C.)"],"affiliations":[{"raw_affiliation_string":"Department of CSIE, National Taiwan University of Science and Technology, Taipei, Taiwan (R.O.C.)","institution_ids":["https://openalex.org/I154864474"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5002873579"],"corresponding_institution_ids":["https://openalex.org/I154864474"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12745254,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"420","last_page":"425"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9991000294685364,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9966999888420105,"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":0.8977999687194824},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.8525415658950806},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7830829620361328},{"id":"https://openalex.org/keywords/color-filter-array","display_name":"Color filter array","score":0.7660272717475891},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7570943832397461},{"id":"https://openalex.org/keywords/bayer-filter","display_name":"Bayer filter","score":0.7168750762939453},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7043396830558777},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4839039742946625},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.4341602325439453},{"id":"https://openalex.org/keywords/primary-color","display_name":"Primary color","score":0.43363478779792786},{"id":"https://openalex.org/keywords/color-gel","display_name":"Color gel","score":0.3742813467979431},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.19428986310958862},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1745125949382782}],"concepts":[{"id":"https://openalex.org/C27624317","wikidata":"https://www.wikidata.org/wiki/Q263499","display_name":"Demosaicing","level":5,"score":0.8977999687194824},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.8525415658950806},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7830829620361328},{"id":"https://openalex.org/C177299597","wikidata":"https://www.wikidata.org/wiki/Q2468214","display_name":"Color filter array","level":5,"score":0.7660272717475891},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7570943832397461},{"id":"https://openalex.org/C5622133","wikidata":"https://www.wikidata.org/wiki/Q812133","display_name":"Bayer filter","level":5,"score":0.7168750762939453},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7043396830558777},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4839039742946625},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.4341602325439453},{"id":"https://openalex.org/C106730002","wikidata":"https://www.wikidata.org/wiki/Q166902","display_name":"Primary color","level":2,"score":0.43363478779792786},{"id":"https://openalex.org/C142771000","wikidata":"https://www.wikidata.org/wiki/Q1435398","display_name":"Color gel","level":4,"score":0.3742813467979431},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.19428986310958862},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1745125949382782},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"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},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2015.7340958","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2015.7340958","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Machine Learning and Cybernetics (ICMLC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2038250289","https://openalex.org/W2105156560","https://openalex.org/W2105489289","https://openalex.org/W2112792100","https://openalex.org/W2140573010","https://openalex.org/W2149354278","https://openalex.org/W3140715649"],"related_works":["https://openalex.org/W2163968526","https://openalex.org/W1574099457","https://openalex.org/W2104935269","https://openalex.org/W1993220090","https://openalex.org/W2807301514","https://openalex.org/W1884483970","https://openalex.org/W2320161696","https://openalex.org/W2171192752","https://openalex.org/W2116941250","https://openalex.org/W1982613636"],"abstract_inverted_index":{"To":[0],"save":[1],"the":[2,11,16,31,50,57,67,72,91,95,98,102,110,122,127,144,149],"hardware":[3],"cost,":[4],"most":[5],"modern":[6],"digital":[7],"video":[8,33,52,70],"cameras":[9],"employ":[10],"single-sensor":[12],"technology":[13],"together":[14],"with":[15,136,178],"red-green-blue":[17],"(RGB)":[18],"color":[19,161,169],"filter":[20],"array":[21],"(CFA)":[22],"structure":[23],"to":[24,48,65,120],"capture":[25],"real-world":[26],"scenes.":[27],"Each":[28],"pixel":[29],"in":[30,157,171,176],"captured":[32,68],"is":[34,45,63,118],"only":[35],"composed":[36],"of":[37,43,59,159,173],"one":[38],"primary":[39],"color.":[40],"This":[41],"kind":[42],"videos":[44,135,146],"usually":[46],"referred":[47],"be":[49],"CFA":[51,69,88,103,140],"(or":[53],"mosaic":[54],"video).":[55],"For":[56],"purpose":[58],"visual":[60,174],"display,":[61],"it":[62],"necessary":[64],"convert":[66],"into":[71,107],"full-color":[73],"RGB":[74,139],"video.":[75],"In":[76,90],"this":[77],"paper,":[78],"we":[79],"propose":[80],"a":[81],"novel":[82],"quality-efficient":[83],"universal":[84,151,181],"demosaicing":[85,152,182],"for":[86],"arbitrary":[87],"videos.":[89],"proposed":[92,150],"method,":[93],"both":[94],"spatial":[96],"and":[97,126,166],"temporal":[99],"correlations":[100],"among":[101],"data":[104],"are":[105],"taken":[106],"account":[108],"during":[109],"demosaicing.":[111],"Then":[112],"an":[113],"effective":[114],"least":[115],"square-based":[116],"approach":[117],"developed":[119],"fuse":[121],"spatial-based":[123],"demosaiced":[124,145],"result":[125],"temporal-based":[128],"one.":[129],"Experimental":[130],"results":[131],"on":[132],"27":[133],"test":[134],"ten":[137],"typical":[138],"structures":[141],"show":[142],"that":[143],"generated":[147],"by":[148],"method":[153],"yield":[154],"better":[155],"quality":[156],"terms":[158,172],"average":[160],"peak":[162],"signal-to-noise":[163],"ratio":[164],"(CPSNR)":[165],"demonstrate":[167],"less":[168],"artifacts":[170],"perception":[175],"comparison":[177],"two":[179],"state-of-the-art":[180],"methods.":[183]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
