{"id":"https://openalex.org/W2058490085","doi":"https://doi.org/10.1109/apsipa.2014.7041734","title":"A method for single frame super resolution with inpainting based on sparse dictionary learning","display_name":"A method for single frame super resolution with inpainting based on sparse dictionary learning","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2058490085","doi":"https://doi.org/10.1109/apsipa.2014.7041734","mag":"2058490085"},"language":"en","primary_location":{"id":"doi:10.1109/apsipa.2014.7041734","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2014.7041734","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific","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/A5109949159","display_name":"Takuya Umehara","orcid":null},"institutions":[{"id":"https://openalex.org/I57930482","display_name":"Hiroshima City University","ror":"https://ror.org/001et4e78","country_code":"JP","type":"education","lineage":["https://openalex.org/I57930482"]},{"id":"https://openalex.org/I122146667","display_name":"Prefectural University of Hiroshima","ror":"https://ror.org/0059h1f24","country_code":"JP","type":"education","lineage":["https://openalex.org/I122146667"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Takuya Umehara","raw_affiliation_strings":["Hiroshima Shiritsu Daigaku, Hiroshima, JP","Graduate School of Information Sciences, Hiroshima City University, 3-4-1, Otsukahigashi, Asaminami, Hiroshima 731-3194 Japan"],"affiliations":[{"raw_affiliation_string":"Hiroshima Shiritsu Daigaku, Hiroshima, JP","institution_ids":["https://openalex.org/I122146667"]},{"raw_affiliation_string":"Graduate School of Information Sciences, Hiroshima City University, 3-4-1, Otsukahigashi, Asaminami, Hiroshima 731-3194 Japan","institution_ids":["https://openalex.org/I57930482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040250215","display_name":"Kazushi Mimura","orcid":"https://orcid.org/0000-0002-0763-4925"},"institutions":[{"id":"https://openalex.org/I57930482","display_name":"Hiroshima City University","ror":"https://ror.org/001et4e78","country_code":"JP","type":"education","lineage":["https://openalex.org/I57930482"]},{"id":"https://openalex.org/I122146667","display_name":"Prefectural University of Hiroshima","ror":"https://ror.org/0059h1f24","country_code":"JP","type":"education","lineage":["https://openalex.org/I122146667"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazushi Mimura","raw_affiliation_strings":["Hiroshima Shiritsu Daigaku, Hiroshima, JP","Graduate School of Information Sciences, Hiroshima City University, 3-4-1, Otsukahigashi, Asaminami, Hiroshima 731-3194 Japan"],"affiliations":[{"raw_affiliation_string":"Hiroshima Shiritsu Daigaku, Hiroshima, JP","institution_ids":["https://openalex.org/I122146667"]},{"raw_affiliation_string":"Graduate School of Information Sciences, Hiroshima City University, 3-4-1, Otsukahigashi, Asaminami, Hiroshima 731-3194 Japan","institution_ids":["https://openalex.org/I57930482"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112495604","display_name":"Akira Hirabayashi","orcid":null},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Akira Hirabayashi","raw_affiliation_strings":["Ritsumeikan Daigaku, Kyoto, Kyoto, JP","College of Information Science and Technology, Ritsumeikan University 1-1-1, Nojihigashi, Kusatsu, Shiga 525-8577 Japan"],"affiliations":[{"raw_affiliation_string":"Ritsumeikan Daigaku, Kyoto, Kyoto, JP","institution_ids":["https://openalex.org/I135768898"]},{"raw_affiliation_string":"College of Information Science and Technology, Ritsumeikan University 1-1-1, Nojihigashi, Kusatsu, Shiga 525-8577 Japan","institution_ids":["https://openalex.org/I135768898"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5109949159"],"corresponding_institution_ids":["https://openalex.org/I122146667","https://openalex.org/I57930482"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12242933,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9997000098228455,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9973000288009644,"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/inpainting","display_name":"Inpainting","score":0.9875760078430176},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7420614957809448},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.7114641666412354},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.6284421682357788},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6273358464241028},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.5557474493980408},{"id":"https://openalex.org/keywords/dictionary-learning","display_name":"Dictionary learning","score":0.5457642674446106},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.543094277381897},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5097476840019226},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4992513656616211},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4607596695423126},{"id":"https://openalex.org/keywords/k-svd","display_name":"K-SVD","score":0.45936980843544006},{"id":"https://openalex.org/keywords/superresolution","display_name":"Superresolution","score":0.42762500047683716},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.42481228709220886},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4122858941555023}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.9875760078430176},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7420614957809448},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.7114641666412354},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.6284421682357788},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6273358464241028},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.5557474493980408},{"id":"https://openalex.org/C2988886741","wikidata":"https://www.wikidata.org/wiki/Q25304494","display_name":"Dictionary learning","level":3,"score":0.5457642674446106},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.543094277381897},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5097476840019226},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4992513656616211},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4607596695423126},{"id":"https://openalex.org/C154771677","wikidata":"https://www.wikidata.org/wiki/Q17098361","display_name":"K-SVD","level":3,"score":0.45936980843544006},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.42762500047683716},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.42481228709220886},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4122858941555023},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/apsipa.2014.7041734","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2014.7041734","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1994395934","https://openalex.org/W2096461046","https://openalex.org/W2105464873","https://openalex.org/W2135046866","https://openalex.org/W2155981690","https://openalex.org/W2160547390","https://openalex.org/W2163398148","https://openalex.org/W2170962921","https://openalex.org/W2296616510","https://openalex.org/W3106469526","https://openalex.org/W4250955649","https://openalex.org/W4251740737","https://openalex.org/W6835653248"],"related_works":["https://openalex.org/W2509955295","https://openalex.org/W2572092625","https://openalex.org/W1987225540","https://openalex.org/W2008821896","https://openalex.org/W1778286912","https://openalex.org/W2099321050","https://openalex.org/W4245251483","https://openalex.org/W1992008660","https://openalex.org/W2801169440","https://openalex.org/W2152958724"],"abstract_inverted_index":{"We":[0,22],"discuss":[1],"a":[2],"method":[3],"for":[4],"single":[5],"frame":[6],"super":[7,27,39],"resolution":[8,28,40],"with":[9],"inpainting":[10,30],"using":[11],"the":[12,16,19,33],"sparse":[13],"representation":[14],"of":[15],"image":[17],"and":[18,29,35],"dictionary":[20],"learning.":[21],"experimentally":[23],"show":[24],"that":[25],"treating":[26],"simultaneously":[31],"decreases":[32],"salt":[34],"pepper":[36],"noise":[37],"than":[38],"after":[41],"inpainting.":[42]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}