{"id":"https://openalex.org/W2248035516","doi":"https://doi.org/10.1109/fskd.2015.7382244","title":"Fast Super-Resolution via patchwise Sparse Coding","display_name":"Fast Super-Resolution via patchwise Sparse Coding","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2248035516","doi":"https://doi.org/10.1109/fskd.2015.7382244","mag":"2248035516"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2015.7382244","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2015.7382244","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","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/A5027940035","display_name":"Hao Ni","orcid":"https://orcid.org/0000-0002-9281-2369"},"institutions":[{"id":"https://openalex.org/I4210101555","display_name":"Hubei University of Science and Technology","ror":"https://ror.org/018wg9441","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210101555"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ni Hao","raw_affiliation_strings":["School of Electronic and Information Engineering, Hubei University of Science and Technology, Xianning, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Hubei University of Science and Technology, Xianning, China","institution_ids":["https://openalex.org/I4210101555"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102785938","display_name":"Liu Fanghua","orcid":"https://orcid.org/0000-0002-5243-3460"},"institutions":[{"id":"https://openalex.org/I4210101555","display_name":"Hubei University of Science and Technology","ror":"https://ror.org/018wg9441","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210101555"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu Fanghua","raw_affiliation_strings":["School of Electronic and Information Engineering, Hubei University of Science and Technology, Xianning, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Hubei University of Science and Technology, Xianning, China","institution_ids":["https://openalex.org/I4210101555"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081992485","display_name":"Ruolin Ruan","orcid":"https://orcid.org/0009-0007-5261-7159"},"institutions":[{"id":"https://openalex.org/I4210101555","display_name":"Hubei University of Science and Technology","ror":"https://ror.org/018wg9441","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210101555"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruan Ruolin","raw_affiliation_strings":["School of Biomedical Engineering, Hubei University of Science and Technology, Xianning, China"],"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Hubei University of Science and Technology, Xianning, China","institution_ids":["https://openalex.org/I4210101555"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5027940035"],"corresponding_institution_ids":["https://openalex.org/I4210101555"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12706442,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"1935","last_page":"1939"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9970999956130981,"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":0.9968000054359436,"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/computation","display_name":"Computation","score":0.6728978753089905},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.6702921986579895},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.627993106842041},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5793941020965576},{"id":"https://openalex.org/keywords/bicubic-interpolation","display_name":"Bicubic interpolation","score":0.56843101978302},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.517227292060852},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.49962878227233887},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4825589060783386},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47650542855262756},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.4586943984031677},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4495127499103546},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28958040475845337},{"id":"https://openalex.org/keywords/linear-interpolation","display_name":"Linear interpolation","score":0.1267121434211731}],"concepts":[{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6728978753089905},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.6702921986579895},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.627993106842041},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5793941020965576},{"id":"https://openalex.org/C49608258","wikidata":"https://www.wikidata.org/wiki/Q611705","display_name":"Bicubic interpolation","level":4,"score":0.56843101978302},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.517227292060852},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.49962878227233887},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4825589060783386},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47650542855262756},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4586943984031677},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4495127499103546},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28958040475845337},{"id":"https://openalex.org/C171836373","wikidata":"https://www.wikidata.org/wiki/Q2266329","display_name":"Linear interpolation","level":3,"score":0.1267121434211731},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2015.7382244","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2015.7382244","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","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":18,"referenced_works":["https://openalex.org/W1791560514","https://openalex.org/W1975320187","https://openalex.org/W2009691887","https://openalex.org/W2067625321","https://openalex.org/W2088254198","https://openalex.org/W2097074225","https://openalex.org/W2112447569","https://openalex.org/W2113606819","https://openalex.org/W2118963448","https://openalex.org/W2121058967","https://openalex.org/W2164551808","https://openalex.org/W2355138834","https://openalex.org/W2388897336","https://openalex.org/W2534320940","https://openalex.org/W6638194035","https://openalex.org/W6676727762","https://openalex.org/W6676903177","https://openalex.org/W6711223664"],"related_works":["https://openalex.org/W2890544631","https://openalex.org/W2994280181","https://openalex.org/W2067062989","https://openalex.org/W2998105788","https://openalex.org/W4205656132","https://openalex.org/W2111634407","https://openalex.org/W2388611159","https://openalex.org/W3004790527","https://openalex.org/W2203155458","https://openalex.org/W2783282829"],"abstract_inverted_index":{"Single":[0],"image":[1,128],"super-resolution":[2,11],"via":[3],"sparse":[4,82,126],"coding":[5,83,127],"is":[6,130,136],"one":[7],"of":[8,27,50,87,108,124],"the":[9,18,28,43,47,61,91,106,112,116,121,125,140],"example-based":[10],"methods.":[12],"The":[13,133],"results":[14,117],"are":[15,65],"promising.":[16],"But":[17],"relatively":[19],"low":[20],"speed":[21],"hinders":[22],"its":[23],"real-time":[24],"application":[25],"because":[26],"large":[29,48],"and":[30,56,67,72,81],"complex":[31],"computation.":[32],"We":[33,75],"propose":[34],"a":[35],"Patchwise":[36],"Sparse":[37],"Coding":[38],"Super-Resolution":[39],"algorithm":[40],"to":[41,84,89,104],"reduce":[42,105],"computation":[44,107,122],"by":[45,69],"processing":[46],"mount":[49],"patches":[51,64,88],"with":[52],"patch":[53,110],"dimensionality":[54],"reduction":[55,103],"classification.":[57],"In":[58],"our":[59],"method,":[60],"input":[62],"low-resolution":[63],"classified":[66],"marked":[68],"their":[70],"mean":[71],"variance":[73],"pairs.":[74],"use":[76],"bicubic":[77],"interpolation,":[78],"neighbor":[79],"embedding":[80],"different":[85],"classifications":[86],"accelerate":[90],"SR":[92,129,134],"process.":[93],"Additionally":[94],"we":[95],"also":[96],"employ":[97],"Principle":[98],"Component":[99],"Analysis":[100],"(PCA)":[101],"dimension":[102],"each":[109],"in":[111],"training":[113],"phase.":[114],"Finally,":[115],"show":[118],"us":[119],"that":[120],"quantity":[123],"reduced":[131],"efficiently.":[132],"time":[135],"17.2s":[137],"faster":[138],"than":[139],"state-of-the-art":[141],"SCSR":[142],"algorithm.":[143]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
