{"id":"https://openalex.org/W2132669346","doi":"https://doi.org/10.1109/icassp.2012.6288124","title":"Super-resolution by GMM based conversion using self-reduction image","display_name":"Super-resolution by GMM based conversion using self-reduction image","publication_year":2012,"publication_date":"2012-03-01","ids":{"openalex":"https://openalex.org/W2132669346","doi":"https://doi.org/10.1109/icassp.2012.6288124","mag":"2132669346"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2012.6288124","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2012.6288124","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5057186420","display_name":"Yuki Ogawa","orcid":"https://orcid.org/0000-0002-2969-8997"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yuki Ogawa","raw_affiliation_strings":["Graduate School of System Informatics, Kobe University, Kobe, Hyogo, Japan","Graduate School of System Informatics, Kobe University, Rokkodaicho 1-1, Nada-ku, HyogoPref., Japan 657-8501"],"affiliations":[{"raw_affiliation_string":"Graduate School of System Informatics, Kobe University, Kobe, Hyogo, Japan","institution_ids":["https://openalex.org/I65837984"]},{"raw_affiliation_string":"Graduate School of System Informatics, Kobe University, Rokkodaicho 1-1, Nada-ku, HyogoPref., Japan 657-8501","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040766342","display_name":"Yasuo Ariki","orcid":"https://orcid.org/0000-0003-3473-2026"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasuo Ariki","raw_affiliation_strings":["Graduate School of System Informatics, Kobe University, Kobe, Hyogo, Japan","Graduate School of System Informatics, Kobe University, Rokkodaicho 1-1, Nada-ku, HyogoPref., Japan 657-8501"],"affiliations":[{"raw_affiliation_string":"Graduate School of System Informatics, Kobe University, Kobe, Hyogo, Japan","institution_ids":["https://openalex.org/I65837984"]},{"raw_affiliation_string":"Graduate School of System Informatics, Kobe University, Rokkodaicho 1-1, Nada-ku, HyogoPref., Japan 657-8501","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009283470","display_name":"Tetsuya Takiguchi","orcid":"https://orcid.org/0000-0001-5005-7679"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsuya Takiguchi","raw_affiliation_strings":["Graduate School of System Informatics, Kobe University, Kobe, Hyogo, Japan","Graduate School of System Informatics, Kobe University, Rokkodaicho 1-1, Nada-ku, HyogoPref., Japan 657-8501"],"affiliations":[{"raw_affiliation_string":"Graduate School of System Informatics, Kobe University, Kobe, Hyogo, Japan","institution_ids":["https://openalex.org/I65837984"]},{"raw_affiliation_string":"Graduate School of System Informatics, Kobe University, Rokkodaicho 1-1, Nada-ku, HyogoPref., Japan 657-8501","institution_ids":["https://openalex.org/I65837984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5057186420"],"corresponding_institution_ids":["https://openalex.org/I65837984"],"apc_list":null,"apc_paid":null,"fwci":1.1103,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.8109434,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1285","last_page":"1288"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9975000023841858,"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":0.9962999820709229,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6703469753265381},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.6382598876953125},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6334186792373657},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6279246807098389},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5884730219841003},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5834914445877075},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.5345280170440674},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5228312611579895},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4772489070892334},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.45892810821533203},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4111522138118744},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.218834787607193},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11531013250350952}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6703469753265381},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.6382598876953125},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6334186792373657},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6279246807098389},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5884730219841003},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5834914445877075},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.5345280170440674},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5228312611579895},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4772489070892334},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.45892810821533203},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4111522138118744},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.218834787607193},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11531013250350952},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2012.6288124","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2012.6288124","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.940.2672","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.940.2672","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://mirlab.org/conference_papers/International_Conference/ICASSP%202012/pdfs/0001285.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W23142961","https://openalex.org/W1999174140","https://openalex.org/W2009272644","https://openalex.org/W2096723776","https://openalex.org/W2097074225","https://openalex.org/W2133665775","https://openalex.org/W6600922454"],"related_works":["https://openalex.org/W2115779117","https://openalex.org/W2362774332","https://openalex.org/W4249245269","https://openalex.org/W2025681766","https://openalex.org/W2765548132","https://openalex.org/W2159897444","https://openalex.org/W1578916557","https://openalex.org/W2542402767","https://openalex.org/W3023086044","https://openalex.org/W1996547193"],"abstract_inverted_index":{"In":[0,23],"recent":[1],"years,":[2],"super-resolution":[3,30],"techniques":[4],"in":[5,20],"the":[6,17,46,60,64,74,81],"field":[7],"of":[8,76],"computer":[9],"vision":[10],"have":[11],"been":[12],"studied":[13],"actively":[14],"owing":[15],"to":[16,63],"potential":[18],"applicability":[19],"various":[21],"fields.":[22],"this":[24,77],"paper,":[25],"we":[26],"propose":[27],"a":[28],"single-image,":[29],"approach":[31],"using":[32,45],"GMM":[33,44],"(Gaussian":[34],"Mixture":[35],"Model)-based":[36],"conversion.":[37],"The":[38,53],"conversion":[39,61],"function":[40,62],"is":[41,56],"constructed":[42],"by":[43,58],"input":[47,66],"image":[48,55,67],"and":[49],"its":[50],"self-reduction":[51],"image.":[52],"high-resolution":[54],"obtained":[57],"applying":[59],"enlarged":[65],"without":[68],"any":[69],"outside":[70],"database.":[71],"We":[72],"confirmed":[73],"effectiveness":[75],"proposed":[78],"method":[79],"through":[80],"experiments.":[82]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}