{"id":"https://openalex.org/W1878994352","doi":"https://doi.org/10.1117/1.2772639","title":"Nonlinear vector filtering for impulsive noise removal from color images","display_name":"Nonlinear vector filtering for impulsive noise removal from color images","publication_year":2007,"publication_date":"2007-07-01","ids":{"openalex":"https://openalex.org/W1878994352","doi":"https://doi.org/10.1117/1.2772639","mag":"1878994352"},"language":"en","primary_location":{"id":"doi:10.1117/1.2772639","is_oa":false,"landing_page_url":"https://doi.org/10.1117/1.2772639","pdf_url":null,"source":{"id":"https://openalex.org/S158511090","display_name":"Journal of Electronic Imaging","issn_l":"1017-9909","issn":["1017-9909","1560-229X"],"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":"Journal of Electronic Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1009.0962","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Hassan A. Kingravi","orcid":null},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hassan A. Kingravi","raw_affiliation_strings":["The Univ. of Texas at Arlington (United States)"],"affiliations":[{"raw_affiliation_string":"The Univ. of Texas at Arlington (United States)","institution_ids":["https://openalex.org/I189196454"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I189196454"],"apc_list":null,"apc_paid":null,"fwci":3.9421,"has_fulltext":false,"cited_by_count":70,"citation_normalized_percentile":{"value":0.936168,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"16","issue":"3","first_page":"033008","last_page":"033008"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9373000264167786,"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":0.9373000264167786,"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/T11019","display_name":"Image Enhancement Techniques","score":0.01590000092983246,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.004699999932199717,"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/filter","display_name":"Filter (signal processing)","score":0.4950000047683716},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4927999973297119},{"id":"https://openalex.org/keywords/color-space","display_name":"Color space","score":0.43650001287460327},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4359000027179718},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.41019999980926514},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.3939000070095062},{"id":"https://openalex.org/keywords/colors-of-noise","display_name":"Colors of noise","score":0.37860000133514404},{"id":"https://openalex.org/keywords/nonlinear-filter","display_name":"Nonlinear filter","score":0.3716000020503998},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3700999915599823},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.36340001225471497}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5659000277519226},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.51910001039505},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4950000047683716},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4927999973297119},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48339998722076416},{"id":"https://openalex.org/C2961294","wikidata":"https://www.wikidata.org/wiki/Q166863","display_name":"Color space","level":3,"score":0.43650001287460327},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4359000027179718},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.41019999980926514},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.3939000070095062},{"id":"https://openalex.org/C114996537","wikidata":"https://www.wikidata.org/wiki/Q4854529","display_name":"Colors of noise","level":3,"score":0.37860000133514404},{"id":"https://openalex.org/C137685913","wikidata":"https://www.wikidata.org/wiki/Q4316763","display_name":"Nonlinear filter","level":4,"score":0.3716000020503998},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3700999915599823},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.36340001225471497},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3610000014305115},{"id":"https://openalex.org/C186991048","wikidata":"https://www.wikidata.org/wiki/Q1184883","display_name":"Color difference","level":3,"score":0.36039999127388},{"id":"https://openalex.org/C51426754","wikidata":"https://www.wikidata.org/wiki/Q1430919","display_name":"Raised-cosine filter","level":5,"score":0.35760000348091125},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.349700003862381},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3483000099658966},{"id":"https://openalex.org/C178009071","wikidata":"https://www.wikidata.org/wiki/Q93344","display_name":"Trigonometric functions","level":2,"score":0.3456000089645386},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.34450000524520874},{"id":"https://openalex.org/C22597639","wikidata":"https://www.wikidata.org/wiki/Q5449227","display_name":"Filter design","level":3,"score":0.3271999955177307},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3260999917984009},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.3253999948501587},{"id":"https://openalex.org/C36390408","wikidata":"https://www.wikidata.org/wiki/Q1163067","display_name":"Digital filter","level":3,"score":0.3230000138282776},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.3086000084877014},{"id":"https://openalex.org/C2780061478","wikidata":"https://www.wikidata.org/wiki/Q375857","display_name":"Gamut","level":2,"score":0.30379998683929443},{"id":"https://openalex.org/C2779948431","wikidata":"https://www.wikidata.org/wiki/Q17092649","display_name":"Inverse filter","level":3,"score":0.3034000098705292},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.30169999599456787},{"id":"https://openalex.org/C45613198","wikidata":"https://www.wikidata.org/wiki/Q1134091","display_name":"Optical filter","level":2,"score":0.2985999882221222},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.29249998927116394},{"id":"https://openalex.org/C55352655","wikidata":"https://www.wikidata.org/wiki/Q304247","display_name":"Median filter","level":4,"score":0.29170000553131104},{"id":"https://openalex.org/C139722471","wikidata":"https://www.wikidata.org/wiki/Q2619517","display_name":"Linear filter","level":3,"score":0.2874999940395355},{"id":"https://openalex.org/C177299597","wikidata":"https://www.wikidata.org/wiki/Q2468214","display_name":"Color filter array","level":5,"score":0.28690001368522644},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.27390000224113464},{"id":"https://openalex.org/C175742284","wikidata":"https://www.wikidata.org/wiki/Q1415537","display_name":"Prototype filter","level":4,"score":0.27320000529289246},{"id":"https://openalex.org/C36262787","wikidata":"https://www.wikidata.org/wiki/Q2294018","display_name":"Color model","level":4,"score":0.27059999108314514},{"id":"https://openalex.org/C78087231","wikidata":"https://www.wikidata.org/wiki/Q5156759","display_name":"Composite image filter","level":3,"score":0.26260000467300415},{"id":"https://openalex.org/C100675267","wikidata":"https://www.wikidata.org/wiki/Q1371624","display_name":"Background noise","level":2,"score":0.26190000772476196},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.2565999925136566}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1117/1.2772639","is_oa":false,"landing_page_url":"https://doi.org/10.1117/1.2772639","pdf_url":null,"source":{"id":"https://openalex.org/S158511090","display_name":"Journal of Electronic Imaging","issn_l":"1017-9909","issn":["1017-9909","1560-229X"],"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":"Journal of Electronic Imaging","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1009.0962","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1009.0962","pdf_url":"https://arxiv.org/pdf/1009.0962","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1009.0962","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1009.0962","pdf_url":"https://arxiv.org/pdf/1009.0962","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W76144520","https://openalex.org/W183335773","https://openalex.org/W1481279513","https://openalex.org/W1487032337","https://openalex.org/W1520109404","https://openalex.org/W1554389171","https://openalex.org/W1591765062","https://openalex.org/W1826983531","https://openalex.org/W1952108887","https://openalex.org/W1964348858","https://openalex.org/W1977405013","https://openalex.org/W1978284028","https://openalex.org/W1987761358","https://openalex.org/W1992535514","https://openalex.org/W2000785498","https://openalex.org/W2001959298","https://openalex.org/W2007564762","https://openalex.org/W2007627285","https://openalex.org/W2009877927","https://openalex.org/W2010286674","https://openalex.org/W2016964170","https://openalex.org/W2019504842","https://openalex.org/W2026849320","https://openalex.org/W2044907595","https://openalex.org/W2048087021","https://openalex.org/W2050792831","https://openalex.org/W2051262509","https://openalex.org/W2053538762","https://openalex.org/W2060791448","https://openalex.org/W2064117770","https://openalex.org/W2071489416","https://openalex.org/W2073627038","https://openalex.org/W2074625223","https://openalex.org/W2081100746","https://openalex.org/W2081933987","https://openalex.org/W2082113030","https://openalex.org/W2083302174","https://openalex.org/W2095600920","https://openalex.org/W2100563391","https://openalex.org/W2105032518","https://openalex.org/W2105087227","https://openalex.org/W2106279551","https://openalex.org/W2107871468","https://openalex.org/W2112824335","https://openalex.org/W2115342481","https://openalex.org/W2118144537","https://openalex.org/W2119692812","https://openalex.org/W2120924489","https://openalex.org/W2122698737","https://openalex.org/W2127441648","https://openalex.org/W2127670310","https://openalex.org/W2128200474","https://openalex.org/W2129368547","https://openalex.org/W2131484521","https://openalex.org/W2132724350","https://openalex.org/W2134114339","https://openalex.org/W2136972847","https://openalex.org/W2138982312","https://openalex.org/W2142574221","https://openalex.org/W2142636559","https://openalex.org/W2145149626","https://openalex.org/W2150673716","https://openalex.org/W2151091758","https://openalex.org/W2152917913","https://openalex.org/W2155789555","https://openalex.org/W2161001607","https://openalex.org/W2161718039","https://openalex.org/W2162587881","https://openalex.org/W2163548871","https://openalex.org/W2169467627","https://openalex.org/W2292154064","https://openalex.org/W2320621438","https://openalex.org/W4378009211","https://openalex.org/W6722063604"],"related_works":[],"abstract_inverted_index":{"A":[0],"comprehensive":[1],"survey":[2],"of":[3,30,39,45],"48":[4],"filters":[5,16,32],"for":[6,67],"impulsive":[7],"noise":[8],"removal":[9],"from":[10],"color":[11],"images":[12,40],"is":[13,33,72],"presented.":[14],"The":[15,28],"are":[17,84,90],"formulated":[18],"using":[19,47],"a":[20,36,43,58,62,96],"uniform":[21],"notation":[22],"and":[23,50,64,82,86],"categorized":[24],"into":[25],"8":[26],"families.":[27],"performance":[29],"these":[31],"compared":[34],"on":[35,92],"large":[37],"set":[38],"that":[41],"cover":[42],"variety":[44],"domains":[46],"three":[48],"effectiveness":[49],"one":[51],"efficiency":[52,60],"criteria.":[53],"In":[54,74],"order":[55],"to":[56,94],"ensure":[57],"fair":[59],"comparison,":[61],"fast":[63],"accurate":[65],"approximation":[66],"the":[68],"inverse":[69],"cosine":[70],"function":[71],"introduced.":[73],"addition,":[75],"commonly":[76],"used":[77],"distance":[78],"measures":[79],"(Minkowski,":[80],"angular,":[81],"directional-distance)":[83],"analyzed":[85],"evaluated.":[87],"Finally,":[88],"suggestions":[89],"provided":[91],"how":[93],"choose":[95],"filter":[97],"given":[98],"certain":[99],"requirements.":[100]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":10},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":7}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2016-06-24T00:00:00"}