{"id":"https://openalex.org/W2592178646","doi":"https://doi.org/10.1109/mwscas.2016.7870029","title":"Single-frame super-resolution using superpixel based dictionary","display_name":"Single-frame super-resolution using superpixel based dictionary","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2592178646","doi":"https://doi.org/10.1109/mwscas.2016.7870029","mag":"2592178646"},"language":"en","primary_location":{"id":"doi:10.1109/mwscas.2016.7870029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mwscas.2016.7870029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 59th International Midwest Symposium on Circuits and Systems (MWSCAS)","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/A5056172938","display_name":"Taku Nakahara","orcid":null},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Taku Nakahara","raw_affiliation_strings":["Tokyo University of Science, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo University of Science, Tokyo, Japan","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042062082","display_name":"Kazunori Uruma","orcid":"https://orcid.org/0000-0002-3915-6796"},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazunori Uruma","raw_affiliation_strings":["Tokyo University of Science, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo University of Science, Tokyo, Japan","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026581043","display_name":"Tomohiro Takahashi","orcid":"https://orcid.org/0000-0003-1325-0693"},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomohiro Takahashi","raw_affiliation_strings":["Tokyo University of Science, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo University of Science, Tokyo, Japan","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101060065","display_name":"Toshihiro Furukawa","orcid":null},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toshihiro Furukawa","raw_affiliation_strings":["Tokyo University of Science, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo University of Science, Tokyo, Japan","institution_ids":["https://openalex.org/I161296585"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5056172938"],"corresponding_institution_ids":["https://openalex.org/I161296585"],"apc_list":null,"apc_paid":null,"fwci":0.501,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.74723928,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9976000189781189,"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/computer-science","display_name":"Computer science","score":0.7752013802528381},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.755626916885376},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7427037358283997},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6878095865249634},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.6452380418777466},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6373209357261658},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6024054288864136},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5592465400695801},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.5380216836929321},{"id":"https://openalex.org/keywords/k-svd","display_name":"K-SVD","score":0.536931574344635},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.41938576102256775},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3832142949104309}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7752013802528381},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.755626916885376},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7427037358283997},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6878095865249634},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.6452380418777466},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6373209357261658},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6024054288864136},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5592465400695801},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.5380216836929321},{"id":"https://openalex.org/C154771677","wikidata":"https://www.wikidata.org/wiki/Q17098361","display_name":"K-SVD","level":3,"score":0.536931574344635},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.41938576102256775},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3832142949104309},{"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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mwscas.2016.7870029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mwscas.2016.7870029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 59th International Midwest Symposium on Circuits and Systems (MWSCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W59557121","https://openalex.org/W2018810158","https://openalex.org/W2041532176","https://openalex.org/W2097074225","https://openalex.org/W2107861471","https://openalex.org/W2118246710","https://openalex.org/W2121058967","https://openalex.org/W2294869454","https://openalex.org/W2545067411","https://openalex.org/W6602486194"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W2381570729","https://openalex.org/W1976205134","https://openalex.org/W4248336175","https://openalex.org/W2031260042","https://openalex.org/W2391445434","https://openalex.org/W3009369890","https://openalex.org/W4312490297","https://openalex.org/W2062212388"],"abstract_inverted_index":{"This":[0],"paper":[1,59,93],"proposes":[2,60],"a":[3,25,72],"single-frame":[4],"super-resolution":[5,22],"algorithm":[6,23,33,49,76],"based":[7,21,32,97],"on":[8,52],"the":[9,18,29,36,42,45,48,53,95,104,107],"dictionary":[10,19,30,65,85],"learning":[11,20,31],"technique.":[12,100],"A":[13],"lot":[14],"of":[15,17,47,106],"studies":[16],"achieve":[24],"high":[26],"performance.":[27],"However,":[28],"often":[34],"demands":[35],"sample":[37,54,68],"image":[38,55,69,98],"set":[39],"to":[40,61,81],"construct":[41,62,82],"dictionaries,":[43],"and":[44,71],"performance":[46],"depend":[50],"heavily":[51],"set.":[56],"Then,":[57],"this":[58,92],"an":[63,83,87],"appropriate":[64,84],"without":[66],"using":[67,86],"set,":[70],"new":[73],"super":[74],"resolution":[75,90],"is":[77],"proposed.":[78],"In":[79],"order":[80],"input":[88],"low":[89],"image,":[91],"introduces":[94],"superpixel":[96],"segmentation":[99],"Experiment":[101],"results":[102],"show":[103],"effectiveness":[105],"proposed":[108],"algorithm.":[109]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}