{"id":"https://openalex.org/W2131359745","doi":"https://doi.org/10.1109/icassp.2005.1415540","title":"An adaptive super-resolution of videos with noise information on camera systems","display_name":"An adaptive super-resolution of videos with noise information on camera systems","publication_year":2006,"publication_date":"2006-10-11","ids":{"openalex":"https://openalex.org/W2131359745","doi":"https://doi.org/10.1109/icassp.2005.1415540","mag":"2131359745"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2005.1415540","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2005.1415540","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.","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/A5016435192","display_name":"Toshiyuki Ono","orcid":null},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"T. Ono","raw_affiliation_strings":["Department of Communications & Integrated Systems, Tokyo Institute of Technology, Meguro, Tokyo, Japan","Dept. of Commun. & Integrated Syst., Tokyo Inst. of Technol., Japan#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Communications & Integrated Systems, Tokyo Institute of Technology, Meguro, Tokyo, Japan","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Dept. of Commun. & Integrated Syst., Tokyo Inst. of Technol., Japan#TAB#","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047960284","display_name":"Hiroshi Hasegawa","orcid":"https://orcid.org/0000-0002-1172-021X"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"H. Hasegawa","raw_affiliation_strings":["Department of Communications & Integrated Systems, Tokyo Institute of Technology, Meguro, Tokyo, Japan","Dept. of Commun. & Integrated Syst., Tokyo Inst. of Technol., Japan#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Communications & Integrated Systems, Tokyo Institute of Technology, Meguro, Tokyo, Japan","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Dept. of Commun. & Integrated Syst., Tokyo Inst. of Technol., Japan#TAB#","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103022814","display_name":"Isao Yamada","orcid":"https://orcid.org/0000-0002-6563-7526"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"I. Yamada","raw_affiliation_strings":["Department of Communications & Integrated Systems, Tokyo Institute of Technology, Meguro, Tokyo, Japan","Dept. of Commun. & Integrated Syst., Tokyo Inst. of Technol., Japan#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Communications & Integrated Systems, Tokyo Institute of Technology, Meguro, Tokyo, Japan","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Dept. of Commun. & Integrated Syst., Tokyo Inst. of Technol., Japan#TAB#","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110189199","display_name":"K. Sakaniwa","orcid":null},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"K. Sakaniwa","raw_affiliation_strings":["Department of Communications & Integrated Systems, Tokyo Institute of Technology, Meguro, Tokyo, Japan","Dept. of Commun. & Integrated Syst., Tokyo Inst. of Technol., Japan#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Communications & Integrated Systems, Tokyo Institute of Technology, Meguro, Tokyo, Japan","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Dept. of Commun. & Integrated Syst., Tokyo Inst. of Technol., Japan#TAB#","institution_ids":["https://openalex.org/I114531698"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5016435192"],"corresponding_institution_ids":["https://openalex.org/I114531698"],"apc_list":null,"apc_paid":null,"fwci":2.1801,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.88484509,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"857","last_page":"860"},"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":0.9988999962806702,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/robustness","display_name":"Robustness (evolution)","score":0.7449697256088257},{"id":"https://openalex.org/keywords/subgradient-method","display_name":"Subgradient method","score":0.7283626198768616},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.710345447063446},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5792686343193054},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4591933488845825},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44884663820266724},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.44658568501472473},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.4447520077228546},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.442740261554718},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.43128079175949097},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4124421179294586},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.402046799659729},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39275503158569336},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22374075651168823},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15578287839889526}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7449697256088257},{"id":"https://openalex.org/C158968445","wikidata":"https://www.wikidata.org/wiki/Q7631150","display_name":"Subgradient method","level":2,"score":0.7283626198768616},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.710345447063446},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5792686343193054},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4591933488845825},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44884663820266724},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.44658568501472473},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4447520077228546},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.442740261554718},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.43128079175949097},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4124421179294586},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.402046799659729},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39275503158569336},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22374075651168823},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15578287839889526},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2005.1415540","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2005.1415540","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1492221128","https://openalex.org/W1999542175","https://openalex.org/W2001376739","https://openalex.org/W2005778669","https://openalex.org/W2067042811","https://openalex.org/W2097223318","https://openalex.org/W2098454198","https://openalex.org/W2100108897","https://openalex.org/W2110548691","https://openalex.org/W2136404310","https://openalex.org/W2143838209","https://openalex.org/W2144037063","https://openalex.org/W2159384543","https://openalex.org/W2164320023","https://openalex.org/W2167884509"],"related_works":["https://openalex.org/W2362774332","https://openalex.org/W4249245269","https://openalex.org/W2025681766","https://openalex.org/W2765548132","https://openalex.org/W2542402767","https://openalex.org/W2158056054","https://openalex.org/W3023086044","https://openalex.org/W2142226356","https://openalex.org/W3210000161","https://openalex.org/W2159917832"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,48],"novel":[3],"adaptive":[4,15],"super-resolution":[5,33],"of":[6,14,42,51,91,100],"videos":[7],"based":[8],"on":[9,57,79],"an":[10,40],"embedded":[11],"constraint":[12],"version":[13,50],"projected":[16],"subgradient":[17],"method":[18,65],"(Yamada":[19],"&":[20,53],"Ogura,":[21],"Numerical":[22],"Functional":[23],"Analysis":[24],"and":[25],"Optimization,":[26],"vol":[27],"25,":[28],"no.7&8,":[29],"p.593-617,":[30],"2004).":[31],"The":[32],"image":[34],"recovery":[35],"problem":[36],"is":[37,47,94],"formulated":[38],"as":[39,86,88],"estimation":[41,69,90],"linear":[43],"time-varying":[44],"systems,":[45],"which":[46,75],"modified":[49],"(Elad":[52],"Feuer,":[54],"IEEE":[55],"Trans.":[56],"Image":[58],"Proc.,":[59],"vol.8,":[60],"no.3,":[61],"p.387-395,":[62],"1999).":[63],"Our":[64],"efficiently":[66],"improves":[67],"the":[68,101],"accuracy":[70],"by":[71,96],"simple":[72],"iterative":[73],"operations":[74],"can":[76],"be":[77],"processed":[78],"parallel":[80],"systems.":[81],"Robustness":[82],"to":[83],"additive":[84],"noise":[85],"well":[87],"inaccurate":[89],"degradation":[92],"parameters,":[93],"realized":[95],"incorporating":[97],"stochastic":[98],"information":[99],"noise.":[102]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
