{"id":"https://openalex.org/W2061800457","doi":"https://doi.org/10.1109/tip.2014.2329448","title":"Adaptive Regularization of the NL-Means: Application to Image and Video Denoising","display_name":"Adaptive Regularization of the NL-Means: Application to Image and Video Denoising","publication_year":2014,"publication_date":"2014-06-06","ids":{"openalex":"https://openalex.org/W2061800457","doi":"https://doi.org/10.1109/tip.2014.2329448","mag":"2061800457","pmid":"https://pubmed.ncbi.nlm.nih.gov/24951687"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2014.2329448","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2014.2329448","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-00854830","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017710838","display_name":"Camille Sutour","orcid":"https://orcid.org/0000-0002-0434-2425"},"institutions":[{"id":"https://openalex.org/I4210166017","display_name":"Institut de Math\u00e9matiques de Bordeaux","ror":"https://ror.org/05m3r1b84","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I15057530","https://openalex.org/I4210141950","https://openalex.org/I4210160189","https://openalex.org/I4210166017"]},{"id":"https://openalex.org/I15057530","display_name":"Universit\u00e9 de Bordeaux","ror":"https://ror.org/057qpr032","country_code":"FR","type":"education","lineage":["https://openalex.org/I15057530"]},{"id":"https://openalex.org/I4210142254","display_name":"Laboratoire Bordelais de Recherche en Informatique","ror":"https://ror.org/03adqg323","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I15057530","https://openalex.org/I4210142254","https://openalex.org/I4210159245","https://openalex.org/I4210160189"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Camille Sutour","raw_affiliation_strings":["Laboratoire Bordelais de Recherche en Informatique, L\u2019Institut de Math\u00e9matiques de Bordeaux, Universit\u00e9 de Bordeaux, Talence, France","IMB - Institut de Math\u00e9matiques de Bordeaux (351 cours de la Lib\u00e9ration 33405 TALENCE CEDEX - France)","LaBRI - Laboratoire Bordelais de Recherche en Informatique (Domaine Universitaire 351, cours de la Lib\u00e9ration 33405 Talence Cedex - France)"],"affiliations":[{"raw_affiliation_string":"Laboratoire Bordelais de Recherche en Informatique, L\u2019Institut de Math\u00e9matiques de Bordeaux, Universit\u00e9 de Bordeaux, Talence, France","institution_ids":["https://openalex.org/I15057530"]},{"raw_affiliation_string":"IMB - Institut de Math\u00e9matiques de Bordeaux (351 cours de la Lib\u00e9ration 33405 TALENCE CEDEX - France)","institution_ids":["https://openalex.org/I4210166017"]},{"raw_affiliation_string":"LaBRI - Laboratoire Bordelais de Recherche en Informatique (Domaine Universitaire 351, cours de la Lib\u00e9ration 33405 Talence Cedex - France)","institution_ids":["https://openalex.org/I4210142254"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015512461","display_name":"Charles\u2010Alban Deledalle","orcid":"https://orcid.org/0000-0002-3139-7106"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I15057530","display_name":"Universit\u00e9 de Bordeaux","ror":"https://ror.org/057qpr032","country_code":"FR","type":"education","lineage":["https://openalex.org/I15057530"]},{"id":"https://openalex.org/I4210166017","display_name":"Institut de Math\u00e9matiques de Bordeaux","ror":"https://ror.org/05m3r1b84","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I15057530","https://openalex.org/I4210141950","https://openalex.org/I4210160189","https://openalex.org/I4210166017"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Charles-Alban Deledalle","raw_affiliation_strings":["Centre National de la Recherche Scientifique, L\u2019Institut de Math\u00e9matiques de Bordeaux, Universit\u00e9 de Bordeaux, Talence, France","IMB - Institut de Math\u00e9matiques de Bordeaux (351 cours de la Lib\u00e9ration 33405 TALENCE CEDEX - France)"],"affiliations":[{"raw_affiliation_string":"Centre National de la Recherche Scientifique, L\u2019Institut de Math\u00e9matiques de Bordeaux, Universit\u00e9 de Bordeaux, Talence, France","institution_ids":["https://openalex.org/I15057530","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"IMB - Institut de Math\u00e9matiques de Bordeaux (351 cours de la Lib\u00e9ration 33405 TALENCE CEDEX - France)","institution_ids":["https://openalex.org/I4210166017"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055550697","display_name":"Jean\u2013Fran\u00e7ois Aujol","orcid":"https://orcid.org/0000-0001-6716-0509"},"institutions":[{"id":"https://openalex.org/I4210166017","display_name":"Institut de Math\u00e9matiques de Bordeaux","ror":"https://ror.org/05m3r1b84","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I15057530","https://openalex.org/I4210141950","https://openalex.org/I4210160189","https://openalex.org/I4210166017"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I15057530","display_name":"Universit\u00e9 de Bordeaux","ror":"https://ror.org/057qpr032","country_code":"FR","type":"education","lineage":["https://openalex.org/I15057530"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jean-Francois Aujol","raw_affiliation_strings":["Centre National de la Recherche Scientifique, L\u2019Institut de Math\u00e9matiques de Bordeaux, Universit\u00e9 de Bordeaux, Talence, France","IMB - Institut de Math\u00e9matiques de Bordeaux (351 cours de la Lib\u00e9ration 33405 TALENCE CEDEX - France)"],"affiliations":[{"raw_affiliation_string":"Centre National de la Recherche Scientifique, L\u2019Institut de Math\u00e9matiques de Bordeaux, Universit\u00e9 de Bordeaux, Talence, France","institution_ids":["https://openalex.org/I15057530","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"IMB - Institut de Math\u00e9matiques de Bordeaux (351 cours de la Lib\u00e9ration 33405 TALENCE CEDEX - France)","institution_ids":["https://openalex.org/I4210166017"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5017710838"],"corresponding_institution_ids":["https://openalex.org/I15057530","https://openalex.org/I4210142254","https://openalex.org/I4210166017"],"apc_list":null,"apc_paid":null,"fwci":12.3566,"has_fulltext":false,"cited_by_count":146,"citation_normalized_percentile":{"value":0.99040985,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"23","issue":"8","first_page":"3506","last_page":"3521"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9977999925613403,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9954000115394592,"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/total-variation-denoising","display_name":"Total variation denoising","score":0.7646198272705078},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.7627121210098267},{"id":"https://openalex.org/keywords/non-local-means","display_name":"Non-local means","score":0.5987668633460999},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.5920390486717224},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5617637634277344},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5548259019851685},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5425631999969482},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.542314887046814},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.5366392135620117},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.48181262612342834},{"id":"https://openalex.org/keywords/video-denoising","display_name":"Video denoising","score":0.48063626885414124},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4576164782047272},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4391464293003082},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4289833605289459},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.423550009727478},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4204680621623993},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41381117701530457},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40906819701194763},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.3667921721935272},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31168749928474426},{"id":"https://openalex.org/keywords/video-processing","display_name":"Video processing","score":0.18241798877716064}],"concepts":[{"id":"https://openalex.org/C207282899","wikidata":"https://www.wikidata.org/wiki/Q7828156","display_name":"Total variation denoising","level":3,"score":0.7646198272705078},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7627121210098267},{"id":"https://openalex.org/C101453961","wikidata":"https://www.wikidata.org/wiki/Q7048948","display_name":"Non-local means","level":4,"score":0.5987668633460999},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.5920390486717224},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5617637634277344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5548259019851685},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5425631999969482},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.542314887046814},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5366392135620117},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.48181262612342834},{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.48063626885414124},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4576164782047272},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4391464293003082},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4289833605289459},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.423550009727478},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4204680621623993},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41381117701530457},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40906819701194763},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.3667921721935272},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31168749928474426},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.18241798877716064},{"id":"https://openalex.org/C23431618","wikidata":"https://www.wikidata.org/wiki/Q1404672","display_name":"Multiview Video Coding","level":4,"score":0.0},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010781","descriptor_name":"Photography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010781","descriptor_name":"Photography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010781","descriptor_name":"Photography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016477","descriptor_name":"Artifacts","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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:10.1109/tip.2014.2329448","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2014.2329448","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:24951687","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24951687","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":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:HAL:hal-00854830v3","is_oa":true,"landing_page_url":"https://hal.science/hal-00854830","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":"IEEE Transactions on Image Processing, 2014, &#x27E8;10.1109/TIP.2014.2329448&#x27E9;","raw_type":"Journal articles"},{"id":"pmh:oai:oskar-bordeaux.fr:20.500.12278/114565","is_oa":false,"landing_page_url":"https://oskar-bordeaux.fr/handle/20.500.12278/114565","pdf_url":null,"source":{"id":"https://openalex.org/S4306402569","display_name":"Oskar-Bordeaux (Universite de Bordeaux)","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article de revue"},{"id":"pmh:oai:oskar-bordeaux.fr:20.500.12278/189184","is_oa":false,"landing_page_url":"https://oskar-bordeaux.fr/handle/20.500.12278/189184","pdf_url":null,"source":{"id":"https://openalex.org/S4306402569","display_name":"Oskar-Bordeaux (Universite de Bordeaux)","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article de revue"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-00854830v3","is_oa":true,"landing_page_url":"https://hal.science/hal-00854830","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":"IEEE Transactions on Image Processing, 2014, &#x27E8;10.1109/TIP.2014.2329448&#x27E9;","raw_type":"Journal articles"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7699999809265137,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"},{"id":"https://openalex.org/F4320322893","display_name":"Institut Universitaire de France","ror":"https://ror.org/055khg266"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W1506777192","https://openalex.org/W1510751240","https://openalex.org/W1512782336","https://openalex.org/W1946620893","https://openalex.org/W1965102920","https://openalex.org/W1965221572","https://openalex.org/W1968735445","https://openalex.org/W1993296994","https://openalex.org/W1998339281","https://openalex.org/W2000953144","https://openalex.org/W2002105278","https://openalex.org/W2005089986","https://openalex.org/W2006262045","https://openalex.org/W2009265594","https://openalex.org/W2010491386","https://openalex.org/W2017399967","https://openalex.org/W2019248995","https://openalex.org/W2030254567","https://openalex.org/W2036524212","https://openalex.org/W2038649727","https://openalex.org/W2039903699","https://openalex.org/W2039939700","https://openalex.org/W2049909233","https://openalex.org/W2056370875","https://openalex.org/W2060945009","https://openalex.org/W2077282160","https://openalex.org/W2090571884","https://openalex.org/W2091494211","https://openalex.org/W2091501226","https://openalex.org/W2092663520","https://openalex.org/W2100556411","https://openalex.org/W2103559027","https://openalex.org/W2108382860","https://openalex.org/W2113824004","https://openalex.org/W2119409963","https://openalex.org/W2121144182","https://openalex.org/W2121821164","https://openalex.org/W2130754596","https://openalex.org/W2133665775","https://openalex.org/W2133954466","https://openalex.org/W2135001774","https://openalex.org/W2136396015","https://openalex.org/W2137290314","https://openalex.org/W2137577808","https://openalex.org/W2137901785","https://openalex.org/W2140408177","https://openalex.org/W2142224912","https://openalex.org/W2144851790","https://openalex.org/W2145568341","https://openalex.org/W2146361563","https://openalex.org/W2152920451","https://openalex.org/W2153321828","https://openalex.org/W2158940042","https://openalex.org/W2162053094","https://openalex.org/W2164490837","https://openalex.org/W2165715880","https://openalex.org/W2166879250","https://openalex.org/W2320596590","https://openalex.org/W2333280117","https://openalex.org/W2951870246","https://openalex.org/W4214806317","https://openalex.org/W6630532278","https://openalex.org/W6669989911","https://openalex.org/W6679536919","https://openalex.org/W6679900766","https://openalex.org/W6680683657","https://openalex.org/W6680914561"],"related_works":["https://openalex.org/W2495078643","https://openalex.org/W233850645","https://openalex.org/W2098237619","https://openalex.org/W1538114257","https://openalex.org/W4287081060","https://openalex.org/W2035842925","https://openalex.org/W2380616154","https://openalex.org/W2362249450","https://openalex.org/W2810018092","https://openalex.org/W2791234060"],"abstract_inverted_index":{"Image":[0],"denoising":[1,32,216,223],"is":[2,11,121],"a":[3,13,45,92,136,182,196],"central":[4],"problem":[5],"in":[6,133,202],"image":[7,68,215],"processing":[8],"and":[9,77,97,111,128,143,168,195,217],"it":[10,71,79,85,120,220],"often":[12],"necessary":[14],"step":[15],"prior":[16],"to":[17,55,115,123,191,221],"higher":[18],"level":[19],"analysis":[20],"such":[21],"as":[22],"segmentation,":[23],"reconstruction,":[24],"or":[25,90],"super-resolution.":[26],"The":[27,160],"nonlocal":[28,154,183],"means":[29],"(NL-means)":[30],"perform":[31,44],"by":[33,105,151,175],"exploiting":[34],"the":[35,61,67,141,145,149,157,203,207],"natural":[36],"redundancy":[37],"of":[38,48,66,148,171,206],"patterns":[39],"inside":[40],"an":[41,177],"image;":[42],"they":[43],"weighted":[46],"average":[47],"pixels":[49],"whose":[50],"neighborhoods":[51],"(patches)":[52],"are":[53],"close":[54],"each":[56],"other.":[57],"This":[58],"reduces":[59,144,169],"significantly":[60],"noise":[62,94,147,193],"while":[63],"preserving":[64],"most":[65],"content.":[69],"While":[70],"performs":[72],"well":[73],"on":[74],"flat":[75],"areas":[76,89],"textures,":[78,125],"suffers":[80],"from":[81],"two":[82],"opposite":[83],"drawbacks:":[84],"might":[86],"over-smooth":[87,124],"low-contrasted":[88],"leave":[91],"residual":[93,146],"around":[95],"edges":[96],"singular":[98],"structures.":[99],"Denoising":[100],"can":[101,199],"also":[102],"be":[103,200],"performed":[104],"total":[106,158,179],"variation":[107,180],"minimization-the":[108],"Rudin,":[109],"Osher":[110],"Fatemi":[112],"model-which":[113],"leads":[114],"restore":[116],"regular":[117],"images,":[118],"but":[119],"prone":[122],"staircasing":[126],"effects,":[127],"contrast":[129],"losses.":[130],"We":[131,210],"introduce":[132],"this":[134,188,212],"paper":[135],"variational":[137],"approach":[138],"that":[139],"corrects":[140],"over-smoothing":[142],"NL-means":[150,163],"adaptively":[152],"regularizing":[153],"methods":[155,167],"with":[156,181,224],"variation.":[159],"proposed":[161],"regularized":[162],"algorithm":[164],"combines":[165],"these":[166],"both":[170],"their":[172],"respective":[173],"defaults":[174],"minimizing":[176],"adaptive":[178],"data":[184],"fidelity":[185],"term.":[186],"Besides,":[187],"model":[189,213],"adapts":[190],"different":[192],"statistics":[194],"fast":[197],"solution":[198],"obtained":[201],"general":[204],"case":[205],"exponential":[208],"family.":[209],"develop":[211],"for":[214],"we":[218],"adapt":[219],"video":[222],"3D":[225],"patches.":[226]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":19},{"year":2018,"cited_by_count":24},{"year":2017,"cited_by_count":17},{"year":2016,"cited_by_count":16},{"year":2015,"cited_by_count":14},{"year":2014,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
