{"id":"https://openalex.org/W2892519888","doi":"https://doi.org/10.1007/s11227-018-2611-3","title":"A novel and fast nonlocal means denoising algorithm using a structure tensor","display_name":"A novel and fast nonlocal means denoising algorithm using a structure tensor","publication_year":2018,"publication_date":"2018-09-25","ids":{"openalex":"https://openalex.org/W2892519888","doi":"https://doi.org/10.1007/s11227-018-2611-3","mag":"2892519888"},"language":"en","primary_location":{"id":"doi:10.1007/s11227-018-2611-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11227-018-2611-3","pdf_url":null,"source":{"id":"https://openalex.org/S32326811","display_name":"The Journal of Supercomputing","issn_l":"0920-8542","issn":["0920-8542","1573-0484"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Journal of Supercomputing","raw_type":"journal-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/A5103666845","display_name":"Li Bo","orcid":null},"institutions":[{"id":"https://openalex.org/I31595395","display_name":"Chengdu University of Technology","ror":"https://ror.org/05pejbw21","country_code":"CN","type":"education","lineage":["https://openalex.org/I31595395"]},{"id":"https://openalex.org/I4210131342","display_name":"Yibin University","ror":"https://ror.org/03w8m2977","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131342"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Bo","raw_affiliation_strings":["Geophysical Institute, Chengdu University of Technology, Chengdu, Sichuan, China","School of Computer and Information Engineering, Yibin University, Yibin, Sichuan, China","Geophysical Institute, Chengdu University of Technology, Chengdu, China","School of Computer and Information Engineering, Yibin University, Yibin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Geophysical Institute, Chengdu University of Technology, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I31595395"]},{"raw_affiliation_string":"School of Computer and Information Engineering, Yibin University, Yibin, Sichuan, China","institution_ids":["https://openalex.org/I4210131342"]},{"raw_affiliation_string":"Geophysical Institute, Chengdu University of Technology, Chengdu, China","institution_ids":["https://openalex.org/I31595395"]},{"raw_affiliation_string":"School of Computer and Information Engineering, Yibin University, Yibin, China","institution_ids":["https://openalex.org/I4210131342"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075523540","display_name":"Junrui Lv","orcid":"https://orcid.org/0000-0002-6796-3819"},"institutions":[{"id":"https://openalex.org/I4210108370","display_name":"Panzhihua University","ror":"https://ror.org/01h8y6y39","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210108370"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junrui Lv","raw_affiliation_strings":["School of Mathematics and Computer Science, Panzhihua University, Panzhihua, Sichuan, China","School of Mathematics and Computer Science, Panzhihua University, Panzhihua, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Computer Science, Panzhihua University, Panzhihua, Sichuan, China","institution_ids":["https://openalex.org/I4210108370"]},{"raw_affiliation_string":"School of Mathematics and Computer Science, Panzhihua University, Panzhihua, China","institution_ids":["https://openalex.org/I4210108370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000707877","display_name":"Xuegang Luo","orcid":"https://orcid.org/0000-0001-8240-5199"},"institutions":[{"id":"https://openalex.org/I4210108370","display_name":"Panzhihua University","ror":"https://ror.org/01h8y6y39","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210108370"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuegang Luo","raw_affiliation_strings":["School of Mathematics and Computer Science, Panzhihua University, Panzhihua, Sichuan, China","School of Mathematics and Computer Science, Panzhihua University, Panzhihua, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Computer Science, Panzhihua University, Panzhihua, Sichuan, China","institution_ids":["https://openalex.org/I4210108370"]},{"raw_affiliation_string":"School of Mathematics and Computer Science, Panzhihua University, Panzhihua, China","institution_ids":["https://openalex.org/I4210108370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100602268","display_name":"Huajun Wang","orcid":"https://orcid.org/0000-0003-4740-6019"},"institutions":[{"id":"https://openalex.org/I31595395","display_name":"Chengdu University of Technology","ror":"https://ror.org/05pejbw21","country_code":"CN","type":"education","lineage":["https://openalex.org/I31595395"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huajun Wang","raw_affiliation_strings":["Geophysical Institute, Chengdu University of Technology, Chengdu, Sichuan, China","Geophysical Institute, Chengdu University of Technology, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Geophysical Institute, Chengdu University of Technology, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I31595395"]},{"raw_affiliation_string":"Geophysical Institute, Chengdu University of Technology, Chengdu, China","institution_ids":["https://openalex.org/I31595395"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100350760","display_name":"Sen Wang","orcid":"https://orcid.org/0000-0003-1537-8834"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sen Wang","raw_affiliation_strings":["Technical Centre of Shanghai Shentong Metro Group Co., Ltd, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical Centre of Shanghai Shentong Metro Group Co., Ltd, Shanghai, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100602268"],"corresponding_institution_ids":["https://openalex.org/I31595395"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":null,"fwci":0.3639,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.62816518,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"75","issue":"2","first_page":"770","last_page":"782"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":1.0,"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":1.0,"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":0.9958000183105469,"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":0.9947999715805054,"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/structure-tensor","display_name":"Structure tensor","score":0.7771040201187134},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.6858746409416199},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6243122816085815},{"id":"https://openalex.org/keywords/non-local-means","display_name":"Non-local means","score":0.601906418800354},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5994718670845032},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5978158712387085},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5716788172721863},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5522506237030029},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5219492316246033},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.5180894732475281},{"id":"https://openalex.org/keywords/bilateral-filter","display_name":"Bilateral filter","score":0.5081343650817871},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.490161269903183},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.4698050618171692},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.42664164304733276},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4049350619316101},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3968561291694641},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3241298794746399},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.29113829135894775},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.19455888867378235}],"concepts":[{"id":"https://openalex.org/C113315163","wikidata":"https://www.wikidata.org/wiki/Q7625159","display_name":"Structure tensor","level":3,"score":0.7771040201187134},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.6858746409416199},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6243122816085815},{"id":"https://openalex.org/C101453961","wikidata":"https://www.wikidata.org/wiki/Q7048948","display_name":"Non-local means","level":4,"score":0.601906418800354},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5994718670845032},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5978158712387085},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5716788172721863},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5522506237030029},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5219492316246033},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.5180894732475281},{"id":"https://openalex.org/C156140930","wikidata":"https://www.wikidata.org/wiki/Q860417","display_name":"Bilateral filter","level":3,"score":0.5081343650817871},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.490161269903183},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.4698050618171692},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.42664164304733276},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4049350619316101},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3968561291694641},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3241298794746399},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.29113829135894775},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.19455888867378235},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11227-018-2611-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11227-018-2611-3","pdf_url":null,"source":{"id":"https://openalex.org/S32326811","display_name":"The Journal of Supercomputing","issn_l":"0920-8542","issn":["0920-8542","1573-0484"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Journal of Supercomputing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1595315260","https://openalex.org/W2035557640","https://openalex.org/W2049025784","https://openalex.org/W2056370875","https://openalex.org/W2067031416","https://openalex.org/W2085692415","https://openalex.org/W2093014173","https://openalex.org/W2106462302","https://openalex.org/W2133665775","https://openalex.org/W2136396015","https://openalex.org/W2177066871","https://openalex.org/W2345181424","https://openalex.org/W2349689284","https://openalex.org/W2560342169","https://openalex.org/W2583080246","https://openalex.org/W2807666405"],"related_works":["https://openalex.org/W1699622673","https://openalex.org/W2391378893","https://openalex.org/W2897317256","https://openalex.org/W1998728244","https://openalex.org/W233850645","https://openalex.org/W1999951602","https://openalex.org/W2098849327","https://openalex.org/W3211043227","https://openalex.org/W2065731593","https://openalex.org/W2892519888"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}