{"id":"https://openalex.org/W1971373099","doi":"https://doi.org/10.1109/icip.2014.7025794","title":"Coupled K-SVD dictionary training for super-resolution","display_name":"Coupled K-SVD dictionary training for super-resolution","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W1971373099","doi":"https://doi.org/10.1109/icip.2014.7025794","mag":"1971373099"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2014.7025794","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025794","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","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/A5101981457","display_name":"Jian Xu","orcid":"https://orcid.org/0000-0002-3983-1552"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]},{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jian Xu","raw_affiliation_strings":["Image Processing and Recognition Center, Xi'an Jiaotong University, Xi'an, China","School of Telecommunication and Information Engineering, Xi'an University of Posts and Telecommunications, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Image Processing and Recognition Center, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Telecommunication and Information Engineering, Xi'an University of Posts and Telecommunications, Xi'an, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111564947","display_name":"Chun Qi","orcid":"https://orcid.org/0000-0003-1430-6011"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chun Qi","raw_affiliation_strings":["Image Processing and Recognition Center, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Image Processing and Recognition Center, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108577370","display_name":"Zhiguo Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiguo Chang","raw_affiliation_strings":["School of Information Engineering, Chang'an University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Chang'an University, Xi'an, China","institution_ids":["https://openalex.org/I25355098"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101981457"],"corresponding_institution_ids":["https://openalex.org/I4210136859","https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":2.2234,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.89958346,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3910","last_page":"3914"},"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":0.998199999332428,"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":0.9972000122070312,"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/k-svd","display_name":"K-SVD","score":0.9213935136795044},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.9014642834663391},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.6978217363357544},{"id":"https://openalex.org/keywords/dictionary-learning","display_name":"Dictionary learning","score":0.657296359539032},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6338372826576233},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.5855258703231812},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.545815110206604},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5226283073425293},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5039617419242859},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5010848045349121},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49048301577568054},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.472078800201416},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27739328145980835},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.07750463485717773},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.05298075079917908}],"concepts":[{"id":"https://openalex.org/C154771677","wikidata":"https://www.wikidata.org/wiki/Q17098361","display_name":"K-SVD","level":3,"score":0.9213935136795044},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.9014642834663391},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.6978217363357544},{"id":"https://openalex.org/C2988886741","wikidata":"https://www.wikidata.org/wiki/Q25304494","display_name":"Dictionary learning","level":3,"score":0.657296359539032},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6338372826576233},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.5855258703231812},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.545815110206604},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5226283073425293},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5039617419242859},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5010848045349121},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49048301577568054},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.472078800201416},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27739328145980835},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.07750463485717773},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.05298075079917908},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2014.7025794","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025794","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8399999737739563}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1791560514","https://openalex.org/W1972348417","https://openalex.org/W1991181922","https://openalex.org/W1996278890","https://openalex.org/W2005876975","https://openalex.org/W2010070459","https://openalex.org/W2023630749","https://openalex.org/W2041844466","https://openalex.org/W2044011870","https://openalex.org/W2046119925","https://openalex.org/W2055490062","https://openalex.org/W2067625321","https://openalex.org/W2087380704","https://openalex.org/W2088254198","https://openalex.org/W2103870658","https://openalex.org/W2115549875","https://openalex.org/W2118963448","https://openalex.org/W2120824855","https://openalex.org/W2121058967","https://openalex.org/W2127271355","https://openalex.org/W2133665775","https://openalex.org/W2145012779","https://openalex.org/W2160547390","https://openalex.org/W2160558632","https://openalex.org/W2163112044","https://openalex.org/W2534320940","https://openalex.org/W6677446445","https://openalex.org/W6678025836"],"related_works":["https://openalex.org/W2509955295","https://openalex.org/W2113038107","https://openalex.org/W1971373099","https://openalex.org/W1778286912","https://openalex.org/W1987225540","https://openalex.org/W2152958724","https://openalex.org/W2116933539","https://openalex.org/W2099321050","https://openalex.org/W4245251483","https://openalex.org/W2008821896"],"abstract_inverted_index":{"In":[0,56],"the":[1,8,16,19,37,59,73],"learning":[2,33],"based":[3],"super-resolution":[4],"(SR),":[5],"one":[6],"of":[7],"most":[9],"important":[10],"issue":[11],"is":[12,69],"how":[13],"to":[14,35,71],"learn":[15],"relationship":[17],"between":[18],"high":[20],"resolution":[21,25],"(HR)":[22],"and":[23,75,85],"low":[24],"(LR)":[26],"images.":[27],"Sparse":[28],"representation":[29],"has":[30],"provided":[31,63],"dictionary":[32,44],"methods":[34],"describe":[36],"relationship.":[38],"This":[39],"work":[40],"presents":[41],"a":[42],"coupled":[43,48],"training":[45],"algorithm":[46,82],"named":[47],"K-singular":[49],"value":[50,66],"decomposition":[51,67],"(K-SVD)":[52],"for":[53],"SR":[54,88],"problem.":[55],"this":[57],"algorithm,":[58],"best":[60],"low-rank":[61],"approximation":[62],"by":[64],"singular":[65],"(SVD)":[68],"utilized":[70],"update":[72],"LR":[74],"HR":[76],"dictionaries.":[77],"Experiments":[78],"demonstrate":[79],"that":[80],"our":[81],"converges":[83],"stably":[84],"achieves":[86],"superior":[87],"results.":[89]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
