{"id":"https://openalex.org/W2112363754","doi":"https://doi.org/10.1109/vcip.2012.6410830","title":"Wavelet domain image super-resolution from digital cinema to ultrahigh definition television by dividing noise component","display_name":"Wavelet domain image super-resolution from digital cinema to ultrahigh definition television by dividing noise component","publication_year":2012,"publication_date":"2012-11-01","ids":{"openalex":"https://openalex.org/W2112363754","doi":"https://doi.org/10.1109/vcip.2012.6410830","mag":"2112363754"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2012.6410830","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2012.6410830","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 Visual Communications and Image Processing","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":"Yasutaka Matsuo","raw_affiliation_strings":["Japan Broadcasting Corporation (NHK), Science and Technology Research Laboratories, Tokyo, Japan","Dept. of Comput. Sci. & Eng., Waseda Univ., Tokyo, Japan#TAB#"],"affiliations":[{"raw_affiliation_string":"Japan Broadcasting Corporation (NHK), Science and Technology Research Laboratories, Tokyo, Japan","institution_ids":["https://openalex.org/I4210107548"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Eng., Waseda Univ., Tokyo, Japan#TAB#","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":"Shinya Iwasaki","raw_affiliation_strings":["Department of Computer Science and Engineering, Waseda University, Tokyo, Japan","Dept. of Comput. Sci. & Eng., Waseda Univ., Tokyo, Japan#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Eng., Waseda Univ., Tokyo, Japan#TAB#","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111989050","display_name":"Yuta 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":"Yuta Yamamura","raw_affiliation_strings":["Department of Computer Science and Engineering, Waseda University, Tokyo, Japan","Dept. of Comput. Sci. & Eng., Waseda Univ., Tokyo, Japan#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Eng., Waseda Univ., Tokyo, Japan#TAB#","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":"Jiro Katto","raw_affiliation_strings":["Department of Computer Science and Engineering, Waseda University, Tokyo, Japan","Dept. of Comput. Sci. & Eng., Waseda Univ., Tokyo, Japan#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Eng., Waseda Univ., Tokyo, Japan#TAB#","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":0.2745,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.59893796,"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":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9994000196456909,"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":0.9962000250816345,"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":0.6824278235435486},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6388174295425415},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6000491976737976},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5814571976661682},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5018160343170166},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4819181263446808},{"id":"https://openalex.org/keywords/image-noise","display_name":"Image noise","score":0.4636799693107605},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.43589967489242554},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.42842841148376465},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4133043885231018},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30422091484069824},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08528271317481995}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6824278235435486},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6388174295425415},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6000491976737976},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5814571976661682},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5018160343170166},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4819181263446808},{"id":"https://openalex.org/C35772409","wikidata":"https://www.wikidata.org/wiki/Q1323086","display_name":"Image noise","level":3,"score":0.4636799693107605},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.43589967489242554},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.42842841148376465},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4133043885231018},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30422091484069824},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08528271317481995},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vcip.2012.6410830","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2012.6410830","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 Visual Communications and Image Processing","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":16,"referenced_works":["https://openalex.org/W1507924120","https://openalex.org/W1968639193","https://openalex.org/W2042208372","https://openalex.org/W2067042811","https://openalex.org/W2076959472","https://openalex.org/W2077903051","https://openalex.org/W2086633600","https://openalex.org/W2099244020","https://openalex.org/W2122632184","https://openalex.org/W2138433355","https://openalex.org/W2140555903","https://openalex.org/W2154061618","https://openalex.org/W2166278041","https://openalex.org/W4238342978","https://openalex.org/W6642294553","https://openalex.org/W6660875960"],"related_works":["https://openalex.org/W2382174632","https://openalex.org/W2129959498","https://openalex.org/W2784060934","https://openalex.org/W2902714807","https://openalex.org/W2537489131","https://openalex.org/W2394084632","https://openalex.org/W2358293514","https://openalex.org/W2046633342","https://openalex.org/W2077021924","https://openalex.org/W4388666270"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,85,93],"novel":[3],"wavelet":[4,57],"domain":[5],"image":[6,30,46,87],"super-resolution":[7,68,75,86],"method":[8,22,91],"from":[9],"digital":[10],"cinema":[11,17,65],"to":[12],"ultrahigh":[13],"definition":[14],"television":[15],"considering":[16],"noise":[18,39,50,53],"component.":[19],"The":[20],"proposed":[21,90],"features":[23],"that":[24,84],"spatial":[25],"resolution":[26],"of":[27,35,64],"an":[28,44,78,98],"original":[29,45,79],"is":[31],"expanded":[32],"by":[33,72],"synthesis":[34],"super-resolved":[36],"signal":[37,48],"and":[38,49,97],"components":[40],"respectively":[41],"after":[42],"dividing":[43],"into":[47],"components.":[51],"Dividing":[52],"component":[54],"uses":[55],"spatio-temporal":[56],"decomposition":[58],"based":[59],"on":[60],"frequency":[61],"spectrum":[62],"analysis":[63],"noise.":[66],"And":[67],"parameters":[69],"are":[70],"optimized":[71],"comparing":[73],"size-reduced":[74],"images":[76],"with":[77],"image.":[80],"Experimental":[81],"results":[82],"showed":[83],"using":[88],"the":[89],"has":[92],"subjectively":[94],"better":[95,100],"appearance":[96],"objectively":[99],"peak":[101],"signal-to-noise":[102],"ratio":[103],"measurement":[104],"than":[105],"conventional":[106],"methods.":[107]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}