{"id":"https://openalex.org/W3003800035","doi":"https://doi.org/10.1117/12.2558680","title":"Sparse representation of images using substitution of wavelet by patches","display_name":"Sparse representation of images using substitution of wavelet by patches","publication_year":2020,"publication_date":"2020-01-31","ids":{"openalex":"https://openalex.org/W3003800035","doi":"https://doi.org/10.1117/12.2558680","mag":"3003800035"},"language":"en","primary_location":{"id":"doi:10.1117/12.2558680","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2558680","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Twelfth International Conference on Machine Vision (ICMV 2019)","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/A5072837793","display_name":"Salima Hassairi","orcid":"https://orcid.org/0000-0003-3281-6576"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Salima Hassairi","raw_affiliation_strings":["Research Team in Intelligent Machines (Tunisia)"],"affiliations":[{"raw_affiliation_string":"Research Team in Intelligent Machines (Tunisia)","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007253198","display_name":"Intidhar Jemel","orcid":null},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Intidhar Jemel","raw_affiliation_strings":["Research Team in Intelligent Machines (Tunisia)"],"affiliations":[{"raw_affiliation_string":"Research Team in Intelligent Machines (Tunisia)","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029856197","display_name":"Ridha Ejbali","orcid":"https://orcid.org/0000-0002-8148-1621"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Ridha Ejbali","raw_affiliation_strings":["Research Team in Intelligent Machines (Tunisia)"],"affiliations":[{"raw_affiliation_string":"Research Team in Intelligent Machines (Tunisia)","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074838703","display_name":"Mourad Zaied","orcid":"https://orcid.org/0000-0003-4013-5834"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Mourad Zaied","raw_affiliation_strings":["Research Team in Intelligent Machines (Tunisia)"],"affiliations":[{"raw_affiliation_string":"Research Team in Intelligent Machines (Tunisia)","institution_ids":["https://openalex.org/I142899784"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5072837793"],"corresponding_institution_ids":["https://openalex.org/I142899784"],"apc_list":null,"apc_paid":null,"fwci":0.1962,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.47185609,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"11433","issue":null,"first_page":"66","last_page":"66"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9991999864578247,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9991999864578247,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9965999722480774,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/sparse-approximation","display_name":"Sparse approximation","score":0.8086497783660889},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6817584037780762},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.666052520275116},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6573613882064819},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6218531131744385},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5646703243255615},{"id":"https://openalex.org/keywords/k-svd","display_name":"K-SVD","score":0.5533890724182129},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5421851277351379},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.44355735182762146},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.44346439838409424},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.42714211344718933},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2560495138168335}],"concepts":[{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.8086497783660889},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6817584037780762},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.666052520275116},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6573613882064819},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6218531131744385},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5646703243255615},{"id":"https://openalex.org/C154771677","wikidata":"https://www.wikidata.org/wiki/Q17098361","display_name":"K-SVD","level":3,"score":0.5533890724182129},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5421851277351379},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.44355735182762146},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.44346439838409424},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.42714211344718933},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2560495138168335},{"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},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1117/12.2558680","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2558680","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Twelfth International Conference on Machine Vision (ICMV 2019)","raw_type":"proceedings-article"},{"id":"mag:3213361088","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002214236091257","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2016265625","https://openalex.org/W2111634407","https://openalex.org/W2552089492","https://openalex.org/W2982240858","https://openalex.org/W4205656132","https://openalex.org/W2008821896","https://openalex.org/W3004790527","https://openalex.org/W2067062989","https://openalex.org/W2080187108","https://openalex.org/W2972860561"],"abstract_inverted_index":{"Classical":[0],"signal":[1,20,36],"representation":[2,17,117,152],"techniques":[3],"generally":[4],"use":[5,77],"a":[6,12,38,41,79,86,100,107],"description":[7],"of":[8,18,34,43,50,65,68,78,94,106,118,127,153,163],"the":[9,16,19,32,35,48,51,76,92,104,110,115,125,131,151,161,164],"components":[10],"on":[11,14,37,124],"basis":[13],"which":[15],"is":[21,82,97,122],"unique":[22],"such":[23],"as":[24],"wavelets":[25],"network.":[26],"Conversely,":[27],"sparse":[28,116,128],"representations":[29],"consist":[30],"in":[31,150],"decomposition":[33,112],"dictionary":[39,81,87,108],"comprising":[40],"number":[42],"elements":[44],"much":[45],"larger":[46],"than":[47,85],"dimension":[49],"signal.":[52],"This":[53,120],"technique":[54,102,121],"can":[55],"be":[56],"widely":[57],"used":[58],"for":[59,103,136],"representation,":[60],"compression,":[61],"denoising":[62],"and":[63,130],"separation":[64],"all":[66],"types":[67],"signals.":[69],"Consequently,":[70],"some":[71,158],"researches":[72],"have":[73],"confirmed":[74],"that":[75],"predefined":[80],"less":[83],"efficient":[84],"from":[88,160],"training":[89],"data.":[90],"So,":[91],"idea":[93],"this":[95],"paper":[96],"to":[98,113,157],"propose":[99],"new":[101],"creation":[105],"using":[109,142],"wavelet":[111,133],"enhance":[114],"images.":[119],"based":[123],"combination":[126],"coding":[129],"fast":[132],"transform":[134],"algorithms":[135],"image":[137,145],"representation.":[138],"Our":[139],"results":[140],"obtained":[141],"different":[143],"universal":[144],"databases":[146],"showed":[147],"greater":[148],"performances":[149],"images":[154],"when":[155],"compared":[156],"methods":[159],"state":[162],"art.":[165]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}