{"id":"https://openalex.org/W2767165307","doi":"https://doi.org/10.23919/eusipco.2017.8081457","title":"Patch-based image denoising: Probability distribution estimation vs. sparsity prior","display_name":"Patch-based image denoising: Probability distribution estimation vs. sparsity prior","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2767165307","doi":"https://doi.org/10.23919/eusipco.2017.8081457","mag":"2767165307"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco.2017.8081457","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2017.8081457","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-03949203","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055815443","display_name":"Dai-Viet Tran","orcid":null},"institutions":[{"id":"https://openalex.org/I4210102686","display_name":"Laboratoire Analyse, G\u00e9om\u00e9trie et Applications","ror":"https://ror.org/018nzqy79","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210102686","https://openalex.org/I4210141950","https://openalex.org/I48825208"]},{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Dai-Viet Tran","raw_affiliation_strings":["Laboratoire LAGA, Universit\u00e9 Paris 13, France","Laboratoire Analyse, G\u00e9om\u00e9trie et Applications"],"affiliations":[{"raw_affiliation_string":"Laboratoire LAGA, Universit\u00e9 Paris 13, France","institution_ids":["https://openalex.org/I4210102686","https://openalex.org/I4210091279"]},{"raw_affiliation_string":"Laboratoire Analyse, G\u00e9om\u00e9trie et Applications","institution_ids":["https://openalex.org/I4210102686"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017652780","display_name":"S\u00e9bastien Li\u2010Thiao\u2010T\u00e9","orcid":"https://orcid.org/0000-0002-4977-4969"},"institutions":[{"id":"https://openalex.org/I4210102686","display_name":"Laboratoire Analyse, G\u00e9om\u00e9trie et Applications","ror":"https://ror.org/018nzqy79","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210102686","https://openalex.org/I4210141950","https://openalex.org/I48825208"]},{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Sebastien Li-Thiao-Te","raw_affiliation_strings":["Laboratoire LAGA, Universit\u00e9 Paris 13, France","Laboratoire Analyse, G\u00e9om\u00e9trie et Applications"],"affiliations":[{"raw_affiliation_string":"Laboratoire LAGA, Universit\u00e9 Paris 13, France","institution_ids":["https://openalex.org/I4210102686","https://openalex.org/I4210091279"]},{"raw_affiliation_string":"Laboratoire Analyse, G\u00e9om\u00e9trie et Applications","institution_ids":["https://openalex.org/I4210102686"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113726809","display_name":"Marie Luong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]},{"id":"https://openalex.org/I204730241","display_name":"Universit\u00e9 Paris Cit\u00e9","ror":"https://ror.org/05f82e368","country_code":"FR","type":"education","lineage":["https://openalex.org/I204730241"]},{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I4210145102","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Marie Luong","raw_affiliation_strings":["Laboratoire L2TI, Universit\u00e9 Paris 13, France","Laboratoire de Traitement et Transport de l'Information"],"affiliations":[{"raw_affiliation_string":"Laboratoire L2TI, Universit\u00e9 Paris 13, France","institution_ids":["https://openalex.org/I204730241","https://openalex.org/I4210091279"]},{"raw_affiliation_string":"Laboratoire de Traitement et Transport de l'Information","institution_ids":["https://openalex.org/I4210165912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073273995","display_name":"Thuong Le-Tien","orcid":"https://orcid.org/0000-0002-5917-4270"},"institutions":[{"id":"https://openalex.org/I47265099","display_name":"Ho Chi Minh City University of Technology","ror":"https://ror.org/04qva2324","country_code":"VN","type":"education","lineage":["https://openalex.org/I123565023","https://openalex.org/I47265099"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Thuong Le-Tien","raw_affiliation_strings":["Hochiminh University of Technology, Vietnam","Ho Chi Minh City University of Technology"],"affiliations":[{"raw_affiliation_string":"Hochiminh University of Technology, Vietnam","institution_ids":["https://openalex.org/I47265099"]},{"raw_affiliation_string":"Ho Chi Minh City University of Technology","institution_ids":["https://openalex.org/I47265099"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110585029","display_name":"Fran\u00e7oise Dibos","orcid":null},"institutions":[{"id":"https://openalex.org/I4210091279","display_name":"Universit\u00e9 Sorbonne Paris Nord","ror":"https://ror.org/0199hds37","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210091279"]},{"id":"https://openalex.org/I4210102686","display_name":"Laboratoire Analyse, G\u00e9om\u00e9trie et Applications","ror":"https://ror.org/018nzqy79","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210102686","https://openalex.org/I4210141950","https://openalex.org/I48825208"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Francoise Dibos","raw_affiliation_strings":["Laboratoire LAGA, Universit\u00e9 Paris 13, France","Laboratoire Analyse, G\u00e9om\u00e9trie et Applications"],"affiliations":[{"raw_affiliation_string":"Laboratoire LAGA, Universit\u00e9 Paris 13, France","institution_ids":["https://openalex.org/I4210102686","https://openalex.org/I4210091279"]},{"raw_affiliation_string":"Laboratoire Analyse, G\u00e9om\u00e9trie et Applications","institution_ids":["https://openalex.org/I4210102686"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5055815443"],"corresponding_institution_ids":["https://openalex.org/I4210091279","https://openalex.org/I4210102686"],"apc_list":null,"apc_paid":null,"fwci":0.091,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48038779,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"32","issue":null,"first_page":"1490","last_page":"1494"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998999834060669,"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/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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9922000169754028,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9914000034332275,"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/prior-probability","display_name":"Prior probability","score":0.6369959115982056},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5878287553787231},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5843061208724976},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.5791140198707581},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5508126616477966},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5279849171638489},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5044697523117065},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5032891631126404},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5001399517059326},{"id":"https://openalex.org/keywords/non-local-means","display_name":"Non-local means","score":0.4478326439857483},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.44726860523223877},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3729201555252075},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.371029794216156},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19112175703048706}],"concepts":[{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.6369959115982056},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5878287553787231},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5843061208724976},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.5791140198707581},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5508126616477966},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5279849171638489},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5044697523117065},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5032891631126404},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5001399517059326},{"id":"https://openalex.org/C101453961","wikidata":"https://www.wikidata.org/wiki/Q7048948","display_name":"Non-local means","level":4,"score":0.4478326439857483},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.44726860523223877},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3729201555252075},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.371029794216156},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19112175703048706},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/eusipco.2017.8081457","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2017.8081457","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 25th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-03949203v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03949203","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"25th European Signal Processing Conference (EUSIPCO 2017), Aug 2017, Kos, Greece. pp.1490-1494, ⟨10.23919/EUSIPCO.2017.8081457⟩","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-03949203v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03949203","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"25th European Signal Processing Conference (EUSIPCO 2017), Aug 2017, Kos, Greece. pp.1490-1494, ⟨10.23919/EUSIPCO.2017.8081457⟩","raw_type":"Conference papers"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W23603788","https://openalex.org/W1554544485","https://openalex.org/W1967820661","https://openalex.org/W2004544971","https://openalex.org/W2028421615","https://openalex.org/W2045079989","https://openalex.org/W2056370875","https://openalex.org/W2063978378","https://openalex.org/W2097073572","https://openalex.org/W2097486709","https://openalex.org/W2098477387","https://openalex.org/W2099244020","https://openalex.org/W2101309634","https://openalex.org/W2112215040","https://openalex.org/W2114122776","https://openalex.org/W2122825543","https://openalex.org/W2127271355","https://openalex.org/W2146337213","https://openalex.org/W2153663612","https://openalex.org/W2160547390","https://openalex.org/W2536599074","https://openalex.org/W6674855086","https://openalex.org/W6681686951"],"related_works":["https://openalex.org/W2098237619","https://openalex.org/W2035842925","https://openalex.org/W1538114257","https://openalex.org/W3046917719","https://openalex.org/W2097073572","https://openalex.org/W2810018092","https://openalex.org/W4287081060","https://openalex.org/W3182043338","https://openalex.org/W2015687076","https://openalex.org/W2001438600"],"abstract_inverted_index":{"Patch-based":[0],"image":[1,13,19,48,97],"denoising":[2],"can":[3],"be":[4],"interpreted":[5],"under":[6],"the":[7,12,22,25,41,45,61,77,91,96,103],"Bayesian":[8],"framework":[9],"which":[10],"incorporates":[11],"formation":[14],"model":[15],"and":[16,60,80],"a":[17,57,73],"prior":[18,26,98],"distribution.":[20,35],"In":[21,68],"sparsity":[23,105],"approach,":[24],"is":[27,38,99],"often":[28],"assumed":[29],"to":[30,39,56,75],"obey":[31],"an":[32,82],"arbitrarily":[33],"chosen":[34],"Our":[36],"motivation":[37],"estimate":[40,76],"probability":[42,78,93],"directly":[43],"from":[44,51],"distribution":[46,79,94],"of":[47,63],"patches":[49],"extracted":[50],"good":[52],"quality":[53],"images,":[54],"thanks":[55],"given":[58],"dictionary":[59],"redundancy":[62],"information":[64],"between":[65],"many":[66],"images.":[67],"this":[69],"paper,":[70],"we":[71],"provide":[72],"scheme":[74],"also":[81],"optimized":[83],"algorithm":[84],"for":[85,107],"denoising.":[86],"We":[87],"demonstrate":[88],"that":[89],"using":[90],"estimated":[92],"as":[95],"more":[100],"efficient":[101],"than":[102],"state-of-the-art":[104],"models":[106],"noise":[108],"removal.":[109]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}