{"id":"https://openalex.org/W1992824804","doi":"https://doi.org/10.1155/2010/830702","title":"Impulse Noise Filtering Using Robust Pixel-Wise S-Estimate of Variance","display_name":"Impulse Noise Filtering Using Robust Pixel-Wise S-Estimate of Variance","publication_year":2010,"publication_date":"2010-05-16","ids":{"openalex":"https://openalex.org/W1992824804","doi":"https://doi.org/10.1155/2010/830702","mag":"1992824804"},"language":"en","primary_location":{"id":"doi:10.1155/2010/830702","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2010/830702","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/2010/830702","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/2010/830702","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019148827","display_name":"Vladimir Crnojevi\u0107","orcid":"https://orcid.org/0000-0001-7144-378X"},"institutions":[{"id":"https://openalex.org/I170726198","display_name":"University of Novi Sad","ror":"https://ror.org/00xa57a59","country_code":"RS","type":"education","lineage":["https://openalex.org/I170726198"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Vladimir Crnojevi\u0107","raw_affiliation_strings":["Communications and Signal Processing Group, Department of Electrical Engineering, University of Novi Sad, 21000, Novi Sad, Serbia","Department of Electrical Engineering, University of Novi Sad, Novi Sad, Serbia#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communications and Signal Processing Group, Department of Electrical Engineering, University of Novi Sad, 21000, Novi Sad, Serbia","institution_ids":["https://openalex.org/I170726198"]},{"raw_affiliation_string":"Department of Electrical Engineering, University of Novi Sad, Novi Sad, Serbia#TAB#","institution_ids":["https://openalex.org/I170726198"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113549781","display_name":"NemanjaI Petrovi\u0107","orcid":null},"institutions":[{"id":"https://openalex.org/I170726198","display_name":"University of Novi Sad","ror":"https://ror.org/00xa57a59","country_code":"RS","type":"education","lineage":["https://openalex.org/I170726198"]}],"countries":["RS"],"is_corresponding":true,"raw_author_name":"NemanjaI Petrovi\u0107","raw_affiliation_strings":["Communications and Signal Processing Group, Department of Electrical Engineering, University of Novi Sad, 21000, Novi Sad, Serbia","Department of Electrical Engineering, University of Novi Sad, Novi Sad, Serbia#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Communications and Signal Processing Group, Department of Electrical Engineering, University of Novi Sad, 21000, Novi Sad, Serbia","institution_ids":["https://openalex.org/I170726198"]},{"raw_affiliation_string":"Department of Electrical Engineering, University of Novi Sad, Novi Sad, Serbia#TAB#","institution_ids":["https://openalex.org/I170726198"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5113549781"],"corresponding_institution_ids":["https://openalex.org/I170726198"],"apc_list":{"value":1665,"currency":"USD","value_usd":1665},"apc_paid":{"value":1665,"currency":"USD","value_usd":1665},"fwci":1.9418,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.8645221,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2010","issue":"1","first_page":null,"last_page":null},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9972000122070312,"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":0.996399998664856,"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/impulse-noise","display_name":"Impulse noise","score":0.7626226544380188},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6651185750961304},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.523007333278656},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4996976852416992},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.48155882954597473},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.46051302552223206},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.44746124744415283},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.4467957019805908},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4435785412788391},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4368402361869812},{"id":"https://openalex.org/keywords/impulse","display_name":"Impulse (physics)","score":0.4347136914730072},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41951674222946167},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37086912989616394},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.32362639904022217},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2845754623413086},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2351670265197754}],"concepts":[{"id":"https://openalex.org/C127372701","wikidata":"https://www.wikidata.org/wiki/Q16979398","display_name":"Impulse noise","level":3,"score":0.7626226544380188},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6651185750961304},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.523007333278656},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4996976852416992},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.48155882954597473},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.46051302552223206},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44746124744415283},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.4467957019805908},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4435785412788391},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4368402361869812},{"id":"https://openalex.org/C70836080","wikidata":"https://www.wikidata.org/wiki/Q837940","display_name":"Impulse (physics)","level":2,"score":0.4347136914730072},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41951674222946167},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37086912989616394},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.32362639904022217},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2845754623413086},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2351670265197754},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2010/830702","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2010/830702","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/2010/830702","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5acd99fc7e9f4518be3166817610a93b","is_oa":true,"landing_page_url":"https://doaj.org/article/5acd99fc7e9f4518be3166817610a93b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Advances in Signal Processing, Vol 2010 (2010)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2010/830702","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2010/830702","pdf_url":"https://asp-eurasipjournals.springeropen.com/counter/pdf/10.1155/2010/830702","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1992824804.pdf","grobid_xml":"https://content.openalex.org/works/W1992824804.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W1483615533","https://openalex.org/W1707550560","https://openalex.org/W1994781189","https://openalex.org/W1999131482","https://openalex.org/W2030244899","https://openalex.org/W2033079433","https://openalex.org/W2033603511","https://openalex.org/W2078950386","https://openalex.org/W2081933987","https://openalex.org/W2090356242","https://openalex.org/W2097094834","https://openalex.org/W2098615715","https://openalex.org/W2100249676","https://openalex.org/W2103488967","https://openalex.org/W2105910985","https://openalex.org/W2107474456","https://openalex.org/W2109239774","https://openalex.org/W2112907544","https://openalex.org/W2120006332","https://openalex.org/W2122214262","https://openalex.org/W2122374500","https://openalex.org/W2124139674","https://openalex.org/W2133665775","https://openalex.org/W2136411463","https://openalex.org/W2139736062","https://openalex.org/W2143494782","https://openalex.org/W2152067286","https://openalex.org/W2159558889","https://openalex.org/W2160817147","https://openalex.org/W2161809308","https://openalex.org/W2162276649","https://openalex.org/W2164893552","https://openalex.org/W2167707673","https://openalex.org/W2182751331","https://openalex.org/W4205795514","https://openalex.org/W4229530126","https://openalex.org/W4247537352"],"related_works":["https://openalex.org/W2381242807","https://openalex.org/W2751208925","https://openalex.org/W3126131230","https://openalex.org/W2347541121","https://openalex.org/W4288804799","https://openalex.org/W2080951048","https://openalex.org/W3089617106","https://openalex.org/W3032237421","https://openalex.org/W3011883280","https://openalex.org/W1969388475"],"abstract_inverted_index":{"A":[0],"novel":[1],"method":[2],"for":[3,21,41,69],"impulse":[4,70],"noise":[5,71,103],"suppression":[6],"in":[7,46,66,113],"images,":[8],"based":[9,86],"on":[10,87],"the":[11,22,50,77,88,93,99],"pixel-wise":[12,89],"S-estimator,":[13],"is":[14,18,38,63,75],"introduced.":[15],"The":[16,52,105],"S-estimator":[17,60],"an":[19],"alternative":[20],"well-known":[23],"robust":[24,59],"estimate":[25,35],"of":[26,49,57,61,92,98,121],"variance":[27,62],"MAD,":[28],"which":[29],"does":[30],"not":[31],"require":[32],"a":[33,58,114],"location":[34],"and":[36,123,125],"hence":[37],"more":[39],"appropriate":[40],"asymmetric":[42],"distributions,":[43],"frequently":[44],"encountered":[45],"transient":[47],"regions":[48],"image.":[51],"proposed":[53,78,94,106],"computationally":[54],"efficient":[55],"modification":[56],"successfully":[64],"utilized":[65],"iterative":[67,79],"scheme":[68],"filtering.":[72],"Another":[73],"novelty":[74],"that":[76],"algorithm":[80],"has":[81],"automatic":[82],"stopping":[83],"criteria,":[84],"also":[85],"S-estimator.":[90],"Performances":[91],"filter":[95,107],"are":[96],"independent":[97],"image":[100],"content":[101],"or":[102],"concentration.":[104],"outperforms":[108],"all":[109],"state-of-the-art":[110],"filters":[111],"included":[112],"large":[115],"comparison,":[116],"both":[117],"objectively":[118],"(in":[119],"terms":[120],"PSNR":[122],"MSSIM)":[124],"subjectively.":[126]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}