{"id":"https://openalex.org/W2551838207","doi":"https://doi.org/10.1109/mlsp.2016.7738902","title":"Doubly sparse structure in image super resolution","display_name":"Doubly sparse structure in image super resolution","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2551838207","doi":"https://doi.org/10.1109/mlsp.2016.7738902","mag":"2551838207"},"language":"en","primary_location":{"id":"doi:10.1109/mlsp.2016.7738902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2016.7738902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5031542980","display_name":"Toshiyuki Kato","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":"Toshiyuki Kato","raw_affiliation_strings":["Waseda University Shinjuku, Tokyo, Japan","Waseda University,Shinjuku, Tokyo,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Waseda University Shinjuku, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"Waseda University,Shinjuku, Tokyo,Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023633849","display_name":"Hideitsu Hino","orcid":"https://orcid.org/0000-0002-6405-4361"},"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":"Hideitsu Hino","raw_affiliation_strings":["University of Tsukuba, Tsukuba, Ibaraki, Japan","[University of Tsukuba, Tsukuba, Ibaraki, Japan]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Tsukuba, Tsukuba, Ibaraki, Japan","institution_ids":["https://openalex.org/I146399215"]},{"raw_affiliation_string":"[University of Tsukuba, Tsukuba, Ibaraki, Japan]","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091474846","display_name":"Noboru Murata","orcid":"https://orcid.org/0000-0002-4258-6877"},"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":"Noboru Murata","raw_affiliation_strings":["Waseda University Shinjuku, Tokyo, Japan","Waseda University,Shinjuku, Tokyo,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Waseda University Shinjuku, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]},{"raw_affiliation_string":"Waseda University,Shinjuku, Tokyo,Japan","institution_ids":["https://openalex.org/I150744194"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1006,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.41829232,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"401","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":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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9995999932289124,"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"}},{"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"}}],"keywords":[{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.7386797070503235},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6907037496566772},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5704243183135986},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5628646016120911},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5507385730743408},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5234615206718445},{"id":"https://openalex.org/keywords/superresolution","display_name":"Superresolution","score":0.5036875605583191},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.49276235699653625},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4497263431549072},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4480385184288025},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.4425358176231384},{"id":"https://openalex.org/keywords/low-resolution","display_name":"Low resolution","score":0.42119747400283813},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4130588471889496},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35630011558532715},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.2893258333206177},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22129780054092407}],"concepts":[{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.7386797070503235},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6907037496566772},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5704243183135986},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5628646016120911},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5507385730743408},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5234615206718445},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.5036875605583191},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.49276235699653625},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4497263431549072},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4480385184288025},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4425358176231384},{"id":"https://openalex.org/C3019883945","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Low resolution","level":3,"score":0.42119747400283813},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4130588471889496},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35630011558532715},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.2893258333206177},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22129780054092407},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"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/mlsp.2016.7738902","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2016.7738902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP)","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":20,"referenced_works":["https://openalex.org/W1791560514","https://openalex.org/W1902027874","https://openalex.org/W1975432466","https://openalex.org/W2004351654","https://openalex.org/W2048948689","https://openalex.org/W2057817757","https://openalex.org/W2099321050","https://openalex.org/W2102291794","https://openalex.org/W2113606819","https://openalex.org/W2117865218","https://openalex.org/W2121058967","https://openalex.org/W2145889472","https://openalex.org/W2160547390","https://openalex.org/W2161516371","https://openalex.org/W2165939075","https://openalex.org/W3104720471","https://openalex.org/W4235713725","https://openalex.org/W4255272544","https://openalex.org/W6638194035","https://openalex.org/W6676903177"],"related_works":["https://openalex.org/W2890544631","https://openalex.org/W2067062989","https://openalex.org/W3004790527","https://openalex.org/W4205656132","https://openalex.org/W2998105788","https://openalex.org/W2111634407","https://openalex.org/W2783282829","https://openalex.org/W2579633471","https://openalex.org/W2539392819","https://openalex.org/W2203155458"],"abstract_inverted_index":{"There":[0],"are":[1,35,69],"a":[2,73,83],"large":[3],"number":[4],"of":[5],"image":[6,30,52,61],"super":[7,20,41],"resolution":[8,26,42],"algorithms":[9,17],"based":[10,43],"on":[11,39,44],"the":[12,60,88],"sparse":[13,33,45,56],"coding,":[14],"and":[15,32],"some":[16],"realize":[18],"multi-frame":[19,40],"resolution.":[21,62],"For":[22],"utilizing":[23],"multiple":[24],"low":[25],"observations,":[27],"both":[28],"accurate":[29],"registration":[31],"coding":[34,46,57],"required.":[36],"Previous":[37],"study":[38],"firstly":[47],"apply":[48],"block":[49],"matching":[50],"for":[51],"registration,":[53],"followed":[54],"by":[55,71],"to":[58],"enhance":[59],"In":[63],"this":[64],"paper,":[65],"these":[66],"two":[67],"problems":[68],"solved":[70],"optimizing":[72],"single":[74],"objective":[75],"function.":[76],"The":[77],"proposed":[78],"formulation":[79],"not":[80],"only":[81],"has":[82],"mathematically":[84],"interesting":[85],"structure":[86],"called":[87],"double":[89],"sparsity,":[90],"but":[91],"also":[92],"offers":[93],"improved":[94],"numerical":[95],"performance.":[96]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}