{"id":"https://openalex.org/W2033606534","doi":"https://doi.org/10.1145/2425333.2425410","title":"Super resolution via sparse representation in <i>l</i> <sub>1</sub> framework","display_name":"Super resolution via sparse representation in <i>l</i> <sub>1</sub> framework","publication_year":2012,"publication_date":"2012-12-16","ids":{"openalex":"https://openalex.org/W2033606534","doi":"https://doi.org/10.1145/2425333.2425410","mag":"2033606534"},"language":"en","primary_location":{"id":"doi:10.1145/2425333.2425410","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2425333.2425410","pdf_url":null,"source":null,"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing","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/A5008048965","display_name":"S. Sudarshan","orcid":null},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"S. Sudarshan","raw_affiliation_strings":["Indian Institute of Technology, Hyderabad"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Hyderabad","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113777904","display_name":"R. Venkatesh Babu","orcid":null},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"R. Venkatesh Babu","raw_affiliation_strings":["Indian Institute of Science, Bangalore, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5008048965"],"corresponding_institution_ids":["https://openalex.org/I65181880"],"apc_list":null,"apc_paid":null,"fwci":0.82955993,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74696462,"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":"7"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9987999796867371,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9983999729156494,"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":0.8186935186386108},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.662889838218689},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6455634236335754},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6251978874206543},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.586408793926239},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5743796229362488},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5654683709144592},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.5109378695487976},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.4687533378601074},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.42901700735092163},{"id":"https://openalex.org/keywords/superresolution","display_name":"Superresolution","score":0.4265541434288025},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4223431646823883},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4056738317012787},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3620801568031311}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8186935186386108},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.662889838218689},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6455634236335754},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6251978874206543},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.586408793926239},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5743796229362488},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5654683709144592},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.5109378695487976},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4687533378601074},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.42901700735092163},{"id":"https://openalex.org/C141239990","wikidata":"https://www.wikidata.org/wiki/Q957423","display_name":"Superresolution","level":3,"score":0.4265541434288025},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4223431646823883},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4056738317012787},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3620801568031311},{"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2425333.2425410","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2425333.2425410","pdf_url":null,"source":null,"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5799999833106995}],"awards":[],"funders":[{"id":"https://openalex.org/F4320310071","display_name":"Indian Institute of Science","ror":"https://ror.org/04dese585"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1791560514","https://openalex.org/W2005876975","https://openalex.org/W2063978378","https://openalex.org/W2067625321","https://openalex.org/W2099470017","https://openalex.org/W2112447569","https://openalex.org/W2114398647","https://openalex.org/W2118963448","https://openalex.org/W2121058967","https://openalex.org/W2135063818","https://openalex.org/W2146200771","https://openalex.org/W2163523041","https://openalex.org/W2165939075","https://openalex.org/W2996852294","https://openalex.org/W4234552385","https://openalex.org/W6676981982","https://openalex.org/W6677548907"],"related_works":["https://openalex.org/W3216672236","https://openalex.org/W4250542427","https://openalex.org/W2216090681","https://openalex.org/W2130187411","https://openalex.org/W2387058352","https://openalex.org/W2004814108","https://openalex.org/W2890544631","https://openalex.org/W3004000015","https://openalex.org/W2559771220","https://openalex.org/W4288598071"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2,60],"a":[3,40,86],"new":[4],"high":[5],"speed":[6],"Single":[7],"Image":[8],"Super":[9],"Resolution":[10],"algorithm":[11,81],"and":[12,34,52],"also":[13,59,119],"suggests":[14],"modifications":[15],"that":[16,44,66,107],"can":[17,92],"perform":[18],"super":[19,111],"resolution":[20],"on":[21,69],"video":[22,70],"sequences.":[23],"Embarking":[24],"from":[25,110],"recent":[26],"successful":[27],"algorithms":[28],"proposed":[29],"by":[30,72],"Yang":[31],"et.":[32,36],"al.[18]":[33],"Elad":[35],"al.[19],":[37],"it":[38,91],"adds":[39],"number":[41],"of":[42,48,54,98,125],"enhancements":[43],"improve":[45],"both":[46],"PSNR":[47,97],"the":[49,55,74,99,105,128],"recovered":[50],"image":[51,88],"performance":[53],"dictionary":[56,63,75],"training.":[57],"It":[58,102,118],"an":[61],"incremental":[62],"update":[64],"strategy":[65],"enhances":[67],"results":[68],"sequences":[71],"improving":[73],"quality":[76],"at":[77],"each":[78],"frame.":[79],"The":[80],"does":[82],"not":[83],"necessarily":[84],"need":[85],"training":[87],"set,":[89],"though":[90],"use":[93],"one":[94],"to":[95],"enhance":[96],"upscaled":[100],"image.":[101],"automatically":[103],"picks":[104],"patches":[106,126],"would":[108],"benefit":[109],"resolution,":[112],"ignoring":[113],"others,":[114],"thus":[115],"enhancing":[116,132],"speed.":[117],"partially":[120],"accounts":[121],"for":[122],"spatial":[123],"transformations":[124],"in":[127],"trained":[129],"dictionary,":[130],"further":[131],"performance.":[133]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}