{"id":"https://openalex.org/W3007263119","doi":"https://doi.org/10.1145/3381271.3381276","title":"Motion-less super-resolution under blind condition using sparse optimization","display_name":"Motion-less super-resolution under blind condition using sparse optimization","publication_year":2020,"publication_date":"2020-01-10","ids":{"openalex":"https://openalex.org/W3007263119","doi":"https://doi.org/10.1145/3381271.3381276","mag":"3007263119"},"language":"en","primary_location":{"id":"doi:10.1145/3381271.3381276","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3381271.3381276","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Multimedia 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/A5091846045","display_name":"Yoshitaka Izumi","orcid":null},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yoshitaka Izumi","raw_affiliation_strings":["University of Tsukuba, Tennodai, Tsukuba, Japan"],"affiliations":[{"raw_affiliation_string":"University of Tsukuba, Tennodai, Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090239145","display_name":"Sota Kawakami","orcid":"https://orcid.org/0009-0000-0849-1324"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Sota Kawakami","raw_affiliation_strings":["University of Tsukuba, Tennodai, Tsukuba, Japan"],"affiliations":[{"raw_affiliation_string":"University of Tsukuba, Tennodai, Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007799069","display_name":"Hiroyuki Kudo","orcid":"https://orcid.org/0000-0001-7256-6554"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroyuki Kudo","raw_affiliation_strings":["University of Tsukuba, Tennodai, Tsukuba, Japan"],"affiliations":[{"raw_affiliation_string":"University of Tsukuba, Tennodai, Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5091846045"],"corresponding_institution_ids":["https://openalex.org/I146399215"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.01535928,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"72","last_page":"79"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9962000250816345,"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/deconvolution","display_name":"Deconvolution","score":0.6870690584182739},{"id":"https://openalex.org/keywords/superresolution","display_name":"Superresolution","score":0.6174936890602112},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.6109722256660461},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6002601981163025},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5913739204406738},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5460219383239746},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.5205941200256348},{"id":"https://openalex.org/keywords/blind-deconvolution","display_name":"Blind deconvolution","score":0.50348299741745},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4634980857372284},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46253612637519836},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4505579173564911},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.44667690992355347},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4418484568595886},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44109055399894714},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.27166947722435}],"concepts":[{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.6870690584182739},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.6174936890602112},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.6109722256660461},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6002601981163025},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5913739204406738},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5460219383239746},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.5205941200256348},{"id":"https://openalex.org/C30044814","wikidata":"https://www.wikidata.org/wiki/Q11334452","display_name":"Blind deconvolution","level":3,"score":0.50348299741745},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4634980857372284},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46253612637519836},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4505579173564911},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.44667690992355347},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4418484568595886},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44109055399894714},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.27166947722435},{"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:10.1145/3381271.3381276","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3381271.3381276","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Multimedia 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":12,"referenced_works":["https://openalex.org/W1885185971","https://openalex.org/W1999821839","https://openalex.org/W2067042811","https://openalex.org/W2097074225","https://openalex.org/W2114451991","https://openalex.org/W2115548755","https://openalex.org/W2126097106","https://openalex.org/W2140867429","https://openalex.org/W2472068831","https://openalex.org/W2610550134","https://openalex.org/W2616156716","https://openalex.org/W2933636691"],"related_works":["https://openalex.org/W2034520358","https://openalex.org/W2028099218","https://openalex.org/W2059639161","https://openalex.org/W2586325539","https://openalex.org/W2058895457","https://openalex.org/W1538056422","https://openalex.org/W2029084792","https://openalex.org/W2023738877","https://openalex.org/W2026824768","https://openalex.org/W2500472126"],"abstract_inverted_index":{"The":[0],"purpose":[1],"of":[2,15,46,54],"this":[3],"paper":[4],"is":[5],"two-fold.":[6],"First,":[7],"we":[8,27],"develop":[9],"a":[10,40,44],"regularized":[11],"and":[12,61],"accelerated":[13],"version":[14],"Ahmed's":[16],"multi-channel":[17],"blind":[18],"deconvolution":[19],"algorithm":[20,31],"based":[21],"on":[22],"low-rank":[23],"matrix":[24],"recovery.":[25],"Second,":[26],"apply":[28],"the":[29,55],"developed":[30],"to":[32],"motion-less":[33],"super-resolution":[34],"problem,":[35],"which":[36],"aims":[37],"at":[38],"recovering":[39],"high-resolution":[41],"image":[42],"from":[43],"set":[45],"differently":[47],"blurred":[48],"low-resolution":[49],"images.":[50],"We":[51],"demonstrate":[52],"performances":[53],"proposed":[56],"method":[57],"by":[58],"simulation":[59],"studies":[60],"real-image":[62],"experiments.":[63]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
