{"id":"https://openalex.org/W4220999568","doi":"https://doi.org/10.3390/s22062199","title":"Image Denoising Using a Compressive Sensing Approach Based on Regularization Constraints","display_name":"Image Denoising Using a Compressive Sensing Approach Based on Regularization Constraints","publication_year":2022,"publication_date":"2022-03-11","ids":{"openalex":"https://openalex.org/W4220999568","doi":"https://doi.org/10.3390/s22062199","pmid":"https://pubmed.ncbi.nlm.nih.gov/35336367"},"language":"en","primary_location":{"id":"doi:10.3390/s22062199","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22062199","pdf_url":"https://www.mdpi.com/1424-8220/22/6/2199/pdf?version=1647338391","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/6/2199/pdf?version=1647338391","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042849870","display_name":"Assia El Mahdaoui","orcid":"https://orcid.org/0000-0002-1249-4541"},"institutions":[{"id":"https://openalex.org/I157169809","display_name":"University of Sciences and Technology Houari Boumediene","ror":"https://ror.org/02kb89c09","country_code":"DZ","type":"education","lineage":["https://openalex.org/I157169809"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Assia El Mahdaoui","raw_affiliation_strings":["AMNEDP Laboratory, Department of Analysis, University of Sciences and Technology Houari Boumediene, Algiers 16111, Algeria"],"raw_orcid":"https://orcid.org/0000-0002-1249-4541","affiliations":[{"raw_affiliation_string":"AMNEDP Laboratory, Department of Analysis, University of Sciences and Technology Houari Boumediene, Algiers 16111, Algeria","institution_ids":["https://openalex.org/I157169809"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046463612","display_name":"Abdeldjalil Ouahabi","orcid":"https://orcid.org/0000-0002-6392-7693"},"institutions":[{"id":"https://openalex.org/I110017253","display_name":"Universit\u00e9 de Tours","ror":"https://ror.org/02wwzvj46","country_code":"FR","type":"education","lineage":["https://openalex.org/I110017253"]},{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Abdeldjalil Ouahabi","raw_affiliation_strings":["UMR 1253, iBrain, INSERM, Universit\u00e9 de Tours, 37000 Tours, France"],"raw_orcid":"https://orcid.org/0000-0002-6392-7693","affiliations":[{"raw_affiliation_string":"UMR 1253, iBrain, INSERM, Universit\u00e9 de Tours, 37000 Tours, France","institution_ids":["https://openalex.org/I110017253","https://openalex.org/I154526488"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103177009","display_name":"Mohamed Sa\u00efd Moulay","orcid":null},"institutions":[{"id":"https://openalex.org/I157169809","display_name":"University of Sciences and Technology Houari Boumediene","ror":"https://ror.org/02kb89c09","country_code":"DZ","type":"education","lineage":["https://openalex.org/I157169809"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Mohamed Said Moulay","raw_affiliation_strings":["AMNEDP Laboratory, Department of Analysis, University of Sciences and Technology Houari Boumediene, Algiers 16111, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AMNEDP Laboratory, Department of Analysis, University of Sciences and Technology Houari Boumediene, Algiers 16111, Algeria","institution_ids":["https://openalex.org/I157169809"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5046463612"],"corresponding_institution_ids":["https://openalex.org/I110017253","https://openalex.org/I154526488"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":13.4243,"has_fulltext":false,"cited_by_count":103,"citation_normalized_percentile":{"value":0.99763401,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"22","issue":"6","first_page":"2199","last_page":"2199"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/compressed-sensing","display_name":"Compressed sensing","score":0.782637357711792},{"id":"https://openalex.org/keywords/total-variation-denoising","display_name":"Total variation denoising","score":0.6619632244110107},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6045154333114624},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5731654167175293},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.560474693775177},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5187021493911743},{"id":"https://openalex.org/keywords/augmented-lagrangian-method","display_name":"Augmented Lagrangian method","score":0.498415470123291},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.47797080874443054},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.46268951892852783},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.44594916701316833},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38038599491119385},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3401257395744324},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3000873923301697}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.782637357711792},{"id":"https://openalex.org/C207282899","wikidata":"https://www.wikidata.org/wiki/Q7828156","display_name":"Total variation denoising","level":3,"score":0.6619632244110107},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6045154333114624},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5731654167175293},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.560474693775177},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5187021493911743},{"id":"https://openalex.org/C150452318","wikidata":"https://www.wikidata.org/wiki/Q4820432","display_name":"Augmented Lagrangian method","level":2,"score":0.498415470123291},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.47797080874443054},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.46268951892852783},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.44594916701316833},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38038599491119385},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3401257395744324},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3000873923301697}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D044962","descriptor_name":"Data Compression","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D044962","descriptor_name":"Data Compression","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D044962","descriptor_name":"Data Compression","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D055585","descriptor_name":"Physical Phenomena","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055585","descriptor_name":"Physical Phenomena","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055585","descriptor_name":"Physical Phenomena","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059629","descriptor_name":"Signal-To-Noise Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s22062199","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22062199","pdf_url":"https://www.mdpi.com/1424-8220/22/6/2199/pdf?version=1647338391","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:35336367","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35336367","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:261af8bd2fdb4cceb404f33ea2322a30","is_oa":true,"landing_page_url":"https://doaj.org/article/261af8bd2fdb4cceb404f33ea2322a30","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 22, Iss 6, p 2199 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/6/2199/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22062199","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 22; Issue 6; Pages: 2199","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8949665","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8949665","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22062199","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22062199","pdf_url":"https://www.mdpi.com/1424-8220/22/6/2199/pdf?version=1647338391","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4220999568.pdf"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W191129667","https://openalex.org/W1986931325","https://openalex.org/W1987313409","https://openalex.org/W2005089986","https://openalex.org/W2015001041","https://openalex.org/W2017399967","https://openalex.org/W2023722580","https://openalex.org/W2036254713","https://openalex.org/W2045737896","https://openalex.org/W2056370875","https://openalex.org/W2057624533","https://openalex.org/W2061126127","https://openalex.org/W2082029531","https://openalex.org/W2100962511","https://openalex.org/W2103559027","https://openalex.org/W2111954528","https://openalex.org/W2116148865","https://openalex.org/W2122752532","https://openalex.org/W2130120519","https://openalex.org/W2133665775","https://openalex.org/W2142224912","https://openalex.org/W2145096794","https://openalex.org/W2158940042","https://openalex.org/W2169739317","https://openalex.org/W2468506054","https://openalex.org/W2494484377","https://openalex.org/W2791088099","https://openalex.org/W2803538922","https://openalex.org/W2891865093","https://openalex.org/W2895476614","https://openalex.org/W2953673387","https://openalex.org/W2954539448","https://openalex.org/W2963676935","https://openalex.org/W2973014962","https://openalex.org/W2980292555","https://openalex.org/W2986829670","https://openalex.org/W3001113877","https://openalex.org/W3013341704","https://openalex.org/W3016665724","https://openalex.org/W3043944826","https://openalex.org/W3047011367","https://openalex.org/W3082246755","https://openalex.org/W3084306245","https://openalex.org/W3103774134","https://openalex.org/W3107034740","https://openalex.org/W3122103149","https://openalex.org/W3124944382","https://openalex.org/W3125969569","https://openalex.org/W3130779229","https://openalex.org/W3158874364","https://openalex.org/W3164387237","https://openalex.org/W3171840970","https://openalex.org/W3186345593","https://openalex.org/W3191370522","https://openalex.org/W3204227266","https://openalex.org/W3209667953","https://openalex.org/W4200617150","https://openalex.org/W4300263211","https://openalex.org/W6674723063","https://openalex.org/W6786661815","https://openalex.org/W6802435722"],"related_works":["https://openalex.org/W1992177423","https://openalex.org/W2048565978","https://openalex.org/W2017333383","https://openalex.org/W2049328938","https://openalex.org/W2070256194","https://openalex.org/W2979058469","https://openalex.org/W2946879392","https://openalex.org/W2766300339","https://openalex.org/W2542648305","https://openalex.org/W2011710850"],"abstract_inverted_index":{"In":[0],"remote":[1],"sensing":[2,43,78,122,166],"applications":[3],"and":[4,17,104,131,155,202,209,214,241,251],"medical":[5],"imaging,":[6],"one":[7],"of":[8,19,26,32,37,71,82,101,138,153,157,184,207,211,223,225,238],"the":[9,13,23,30,83,90,99,102,127,132,150,158,182,185,221],"key":[10],"points":[11],"is":[12,40,44,141],"acquisition,":[14],"real-time":[15],"preprocessing":[16],"storage":[18],"information.":[20],"Due":[21],"to":[22,48,97,106,234],"large":[24],"amount":[25],"information":[27],"present":[28],"in":[29,54,117,205,236],"form":[31],"images":[33],"or":[34],"videos,":[35],"compression":[36],"these":[38],"data":[39],"necessary.":[41],"Compressed":[42],"an":[45,145],"efficient":[46],"technique":[47],"meet":[49],"this":[50,76,113,118,139],"challenge.":[51],"It":[52],"consists":[53],"acquiring":[55],"a":[56,63,68,80,120,231],"signal,":[57],"assuming":[58],"that":[59,125,148],"it":[60],"can":[61],"have":[62],"sparse":[64,200],"representation,":[65],"by":[66,143,167],"using":[67,144,244],"minimum":[69],"number":[70],"nonadaptive":[72],"linear":[73],"measurements.":[74],"After":[75],"compressed":[77,121],"process,":[79],"reconstruction":[81,123,176],"original":[84],"signal":[85],"must":[86],"be":[87],"performed":[88,142],"at":[89],"receiver.":[91],"Reconstruction":[92],"techniques":[93],"are":[94],"often":[95],"unable":[96],"preserve":[98],"texture":[100,213],"image":[103,175,215],"tend":[105],"smooth":[107],"out":[108],"its":[109,190],"details.":[110],"To":[111,180],"overcome":[112],"problem,":[114],"we":[115,188],"propose,":[116],"work,":[119],"method":[124,140],"combines":[126],"total":[128],"variation":[129],"regularization":[130,159,168],"non-local":[133],"self-similarity":[134],"constraint.":[135],"The":[136,161],"optimization":[137],"augmented":[146],"Lagrangian":[147],"avoids":[149],"difficult":[151],"problem":[152],"nonlinearity":[154],"nondifferentiability":[156],"terms.":[160],"proposed":[162,186],"algorithm,":[163,187,198],"called":[164],"denoising-compressed":[165],"(DCSR)":[169],"terms,":[170],"will":[171],"not":[172],"only":[173],"perform":[174],"but":[177],"also":[178],"denoising.":[179],"evaluate":[181],"performance":[183,191],"compare":[189],"with":[192],"state-of-the-art":[193],"methods,":[194,204],"such":[195],"as":[196,217,219],"Nesterov's":[197],"group-based":[199],"representation":[201],"wavelet-based":[203],"terms":[206,237],"denoising":[208,239],"preservation":[210],"edges,":[212],"details,":[216],"well":[218],"from":[220],"point":[222],"view":[224],"computational":[226],"complexity.":[227],"Our":[228],"approach":[229],"permits":[230],"gain":[232],"up":[233],"25%":[235],"efficiency":[240],"visual":[242],"quality":[243],"two":[245],"metrics:":[246],"peak":[247],"signal-to-noise":[248],"ratio":[249],"(PSNR)":[250],"structural":[252],"similarity":[253],"(SSIM).":[254]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":30},{"year":2022,"cited_by_count":35}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}