{"id":"https://openalex.org/W1992866358","doi":"https://doi.org/10.1117/12.2030639","title":"A gradient-based adaptive nonlocal means algorithm for image denoising","display_name":"A gradient-based adaptive nonlocal means algorithm for image denoising","publication_year":2013,"publication_date":"2013-07-19","ids":{"openalex":"https://openalex.org/W1992866358","doi":"https://doi.org/10.1117/12.2030639","mag":"1992866358"},"language":"en","primary_location":{"id":"doi:10.1117/12.2030639","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2030639","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100406666","display_name":"Quan Zhang","orcid":"https://orcid.org/0000-0001-7778-4243"},"institutions":[{"id":"https://openalex.org/I135714990","display_name":"North University of China","ror":"https://ror.org/047bp1713","country_code":"CN","type":"education","lineage":["https://openalex.org/I135714990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quan Zhang","raw_affiliation_strings":["North Univ. of China (China)","Southeast Univ. (China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North Univ. of China (China)","institution_ids":["https://openalex.org/I135714990"]},{"raw_affiliation_string":"Southeast Univ. (China)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036093909","display_name":"Limin Luo","orcid":"https://orcid.org/0000-0001-8954-1871"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Limin Luo","raw_affiliation_strings":["Southeast Univ. (China)","Southeast University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast Univ. (China)","institution_ids":[]},{"raw_affiliation_string":"Southeast University, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075478974","display_name":"Zhiguo Gui","orcid":"https://orcid.org/0000-0002-8991-9907"},"institutions":[{"id":"https://openalex.org/I135714990","display_name":"North University of China","ror":"https://ror.org/047bp1713","country_code":"CN","type":"education","lineage":["https://openalex.org/I135714990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiguo Gui","raw_affiliation_strings":["North Univ. of China (China)","North University of China,  China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North Univ. of China (China)","institution_ids":["https://openalex.org/I135714990"]},{"raw_affiliation_string":"North University of China,  China","institution_ids":["https://openalex.org/I135714990"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101832997","display_name":"Yuanjin Li","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanjin Li","raw_affiliation_strings":["Southeast Univ. (China)","Southeast University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast Univ. (China)","institution_ids":[]},{"raw_affiliation_string":"Southeast University, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4157,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.57090606,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"8878","issue":null,"first_page":"887807","last_page":"887807"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9901999831199646,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9878000020980835,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/non-local-means","display_name":"Non-local means","score":0.6453908085823059},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6078605055809021},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5712378621101379},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5620825886726379},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5493188500404358},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5064874887466431},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48321497440338135},{"id":"https://openalex.org/keywords/bilateral-filter","display_name":"Bilateral filter","score":0.4773002862930298},{"id":"https://openalex.org/keywords/symmetry","display_name":"Symmetry (geometry)","score":0.47196802496910095},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.47102126479148865},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4658065438270569},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4484338164329529},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.43942806124687195},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.4344669282436371},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.4304685890674591},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3903011083602905},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06489545106887817},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.05508175492286682}],"concepts":[{"id":"https://openalex.org/C101453961","wikidata":"https://www.wikidata.org/wiki/Q7048948","display_name":"Non-local means","level":4,"score":0.6453908085823059},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6078605055809021},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5712378621101379},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5620825886726379},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5493188500404358},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5064874887466431},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48321497440338135},{"id":"https://openalex.org/C156140930","wikidata":"https://www.wikidata.org/wiki/Q860417","display_name":"Bilateral filter","level":3,"score":0.4773002862930298},{"id":"https://openalex.org/C2779886137","wikidata":"https://www.wikidata.org/wiki/Q21030012","display_name":"Symmetry (geometry)","level":2,"score":0.47196802496910095},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.47102126479148865},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4658065438270569},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4484338164329529},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.43942806124687195},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.4344669282436371},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.4304685890674591},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3903011083602905},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06489545106887817},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.05508175492286682},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2030639","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2030639","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W233850645","https://openalex.org/W1998728244","https://openalex.org/W2098237619","https://openalex.org/W2082304850","https://openalex.org/W2761243560","https://openalex.org/W1538114257","https://openalex.org/W3046917719","https://openalex.org/W2097073572","https://openalex.org/W2035842925","https://openalex.org/W2810018092"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3],"modified":[4],"adaptive":[5],"nonlocal":[6,23,66],"means":[7,24,67],"(ANLM)":[8],"filter":[9,105],"is":[10,58,81],"investigated":[11],"for":[12],"image":[13,18,46],"denoising":[14,108],"by":[15,88],"introducing":[16],"the":[17,21,30,41,49,64,69,102],"gradient":[19],"into":[20,35],"classical":[22,65],"filter.":[25],"The":[26,78,96],"proposed":[27,79],"algorithm":[28],"takes":[29],"orientation":[31],"of":[32,54],"matching":[33],"neighborhood":[34],"consideration":[36],"and":[37],"can":[38,72],"adaptively":[39],"select":[40],"filtering":[42],"parameter":[43],"based":[44],"on":[45],"gradient.":[47],"Moreover,":[48],"symmetry":[50,53],"or":[51],"approximate":[52],"some":[55],"filtered":[56],"images":[57,86],"also":[59],"considered.":[60],"Therefore,":[61],"comparing":[62],"with":[63,92],"filter,":[68],"new":[70],"method":[71],"exploit":[73],"much":[74],"more":[75],"similar":[76],"pixels.":[77],"approach":[80],"applied":[82],"to":[83],"several":[84],"real":[85],"corrupted":[87],"white":[89],"Gaussian":[90],"noise":[91],"different":[93],"standard":[94],"deviation.":[95],"comparative":[97],"experimental":[98],"results":[99],"show":[100],"that":[101],"improved":[103],"ANLM":[104],"obtains":[106],"superior":[107],"performance.":[109]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
