{"id":"https://openalex.org/W2047277627","doi":"https://doi.org/10.1109/icce.2013.6486839","title":"Super-resolution from digital cinema to ultra high definition television using image registration of wavelet multi-scale components","display_name":"Super-resolution from digital cinema to ultra high definition television using image registration of wavelet multi-scale components","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2047277627","doi":"https://doi.org/10.1109/icce.2013.6486839","mag":"2047277627"},"language":"en","primary_location":{"id":"doi:10.1109/icce.2013.6486839","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce.2013.6486839","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Consumer Electronics (ICCE)","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/A5003209931","display_name":"Yasutaka Matsuo","orcid":"https://orcid.org/0000-0002-5071-0284"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]},{"id":"https://openalex.org/I4210107548","display_name":"Japan Broadcasting Corporation (Japan)","ror":"https://ror.org/01s8tz949","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210107548"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Y. Matsuo","raw_affiliation_strings":["Japan Broadcasting Corporation NHK, Tokyo, Japan","Waseda University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Japan Broadcasting Corporation NHK, Tokyo, Japan","institution_ids":["https://openalex.org/I4210107548"]},{"raw_affiliation_string":"Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070991290","display_name":"Shinya Iwasaki","orcid":"https://orcid.org/0000-0001-8011-6107"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"S. Iwasaki","raw_affiliation_strings":["Waseda University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111841433","display_name":"Y. Yamamura","orcid":null},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Y. Yamamura","raw_affiliation_strings":["Waseda University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002294739","display_name":"Jiro Katto","orcid":"https://orcid.org/0000-0002-1671-2614"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"J. Katto","raw_affiliation_strings":["Waseda University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5003209931"],"corresponding_institution_ids":["https://openalex.org/I150744194","https://openalex.org/I4210107548"],"apc_list":null,"apc_paid":null,"fwci":1.0886,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.80678414,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"159","last_page":"160"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":1.0,"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/T11105","display_name":"Advanced Image Processing Techniques","score":1.0,"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/T10688","display_name":"Image and Signal Denoising Methods","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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9937000274658203,"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/wavelet","display_name":"Wavelet","score":0.7314384579658508},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6613239645957947},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.6446759104728699},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6253645420074463},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.601270318031311},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5915799140930176},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5897943377494812},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4872397482395172},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.4703935384750366},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4610103964805603},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4589141607284546},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.43289715051651},{"id":"https://openalex.org/keywords/impression","display_name":"Impression","score":0.43209171295166016},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4267134666442871},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09608235955238342},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07670420408248901}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.7314384579658508},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6613239645957947},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.6446759104728699},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6253645420074463},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.601270318031311},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5915799140930176},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5897943377494812},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4872397482395172},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4703935384750366},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4610103964805603},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4589141607284546},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.43289715051651},{"id":"https://openalex.org/C2776684213","wikidata":"https://www.wikidata.org/wiki/Q6007582","display_name":"Impression","level":2,"score":0.43209171295166016},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4267134666442871},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09608235955238342},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07670420408248901},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce.2013.6486839","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce.2013.6486839","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Consumer Electronics (ICCE)","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":5,"referenced_works":["https://openalex.org/W1507924120","https://openalex.org/W2042208372","https://openalex.org/W2077903051","https://openalex.org/W2140555903","https://openalex.org/W6660875960"],"related_works":["https://openalex.org/W2327021330","https://openalex.org/W2397440126","https://openalex.org/W2316594088","https://openalex.org/W2409084359","https://openalex.org/W68571419","https://openalex.org/W1976986774","https://openalex.org/W2317327847","https://openalex.org/W2989908193","https://openalex.org/W2321292392","https://openalex.org/W2418778636"],"abstract_inverted_index":{"Quality":[0],"of":[1,35],"image":[2,30,46,58],"super-resolution":[3],"(SR)":[4],"degrades":[5],"by":[6,33],"noise":[7,39,50],"component.":[8],"However":[9],"it":[10,16],"should":[11],"not":[12],"be":[13],"eliminated":[14],"because":[15],"is":[17,55],"important":[18],"for":[19,23],"high":[20],"definition":[21],"impression":[22],"digital":[24],"cinema.":[25],"Therefore":[26],"we":[27],"propose":[28],"an":[29,44],"SR":[31],"method":[32],"synthesis":[34],"resolution-enhanced":[36,56,70],"signal":[37,48,53,62],"and":[38,49,64],"components":[40,68],"respectively":[41],"after":[42],"dividing":[43],"original":[45],"into":[47],"components.":[51],"The":[52],"component":[54,63],"using":[57],"registration":[59],"between":[60],"the":[61],"its":[65],"wavelet":[66],"multi-scale":[67],"with":[69],"parameter":[71],"optimization.":[72]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
