{"id":"https://openalex.org/W2030679681","doi":"https://doi.org/10.1117/1.3564922","title":"Random impulse noise removal from image sequences based on fuzzy logic","display_name":"Random impulse noise removal from image sequences based on fuzzy logic","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W2030679681","doi":"https://doi.org/10.1117/1.3564922","mag":"2030679681"},"language":"en","primary_location":{"id":"doi:10.1117/1.3564922","is_oa":false,"landing_page_url":"https://doi.org/10.1117/1.3564922","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":["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/A5028541723","display_name":"Tom M\u00e9lange","orcid":null},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Tom M\u00e9lange","raw_affiliation_strings":["Univ. Gent (Belgium)","Ghent University, Department of Applied Mathematics and Computer Science, Fuzziness and Uncertainty Modelling Research Unit, Krijgslaan 281 (Building S9), 9000 Gent, Belgium"],"affiliations":[{"raw_affiliation_string":"Univ. Gent (Belgium)","institution_ids":["https://openalex.org/I32597200"]},{"raw_affiliation_string":"Ghent University, Department of Applied Mathematics and Computer Science, Fuzziness and Uncertainty Modelling Research Unit, Krijgslaan 281 (Building S9), 9000 Gent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5028541723"],"corresponding_institution_ids":["https://openalex.org/I32597200"],"apc_list":null,"apc_paid":null,"fwci":0.7727,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.744844,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"20","issue":"1","first_page":"013024","last_page":"013024"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9961000084877014,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9957000017166138,"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/impulse-noise","display_name":"Impulse noise","score":0.7074007391929626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6229103803634644},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6117591857910156},{"id":"https://openalex.org/keywords/value-noise","display_name":"Value noise","score":0.5756059288978577},{"id":"https://openalex.org/keywords/dark-frame-subtraction","display_name":"Dark-frame subtraction","score":0.5365424752235413},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5283663272857666},{"id":"https://openalex.org/keywords/gradient-noise","display_name":"Gradient noise","score":0.5243551731109619},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5207064747810364},{"id":"https://openalex.org/keywords/median-filter","display_name":"Median filter","score":0.5160700678825378},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.49519839882850647},{"id":"https://openalex.org/keywords/image-noise","display_name":"Image noise","score":0.4885736405849457},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47880396246910095},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.47570404410362244},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4451693594455719},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.44182777404785156},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.4326520562171936},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4209856688976288},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.3184013366699219},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2863379716873169}],"concepts":[{"id":"https://openalex.org/C127372701","wikidata":"https://www.wikidata.org/wiki/Q16979398","display_name":"Impulse noise","level":3,"score":0.7074007391929626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6229103803634644},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6117591857910156},{"id":"https://openalex.org/C182163834","wikidata":"https://www.wikidata.org/wiki/Q2926529","display_name":"Value noise","level":5,"score":0.5756059288978577},{"id":"https://openalex.org/C1160358","wikidata":"https://www.wikidata.org/wiki/Q861103","display_name":"Dark-frame subtraction","level":5,"score":0.5365424752235413},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5283663272857666},{"id":"https://openalex.org/C200378446","wikidata":"https://www.wikidata.org/wiki/Q4147391","display_name":"Gradient noise","level":5,"score":0.5243551731109619},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5207064747810364},{"id":"https://openalex.org/C55352655","wikidata":"https://www.wikidata.org/wiki/Q304247","display_name":"Median filter","level":4,"score":0.5160700678825378},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.49519839882850647},{"id":"https://openalex.org/C35772409","wikidata":"https://www.wikidata.org/wiki/Q1323086","display_name":"Image noise","level":3,"score":0.4885736405849457},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47880396246910095},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.47570404410362244},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4451693594455719},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.44182777404785156},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.4326520562171936},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4209856688976288},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.3184013366699219},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2863379716873169}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1117/1.3564922","is_oa":false,"landing_page_url":"https://doi.org/10.1117/1.3564922","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:archive.ugent.be:2132586","is_oa":false,"landing_page_url":"https://biblio.ugent.be/publication/2132586","pdf_url":null,"source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISSN: 1017-9909","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322603","display_name":"Universiteit Gent","ror":"https://ror.org/00cv9y106"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W590777244","https://openalex.org/W1964679164","https://openalex.org/W1975251503","https://openalex.org/W1994685695","https://openalex.org/W2010817985","https://openalex.org/W2012811500","https://openalex.org/W2016056566","https://openalex.org/W2017072914","https://openalex.org/W2030244899","https://openalex.org/W2039181402","https://openalex.org/W2044070324","https://openalex.org/W2081933987","https://openalex.org/W2099124466","https://openalex.org/W2103488967","https://openalex.org/W2107474456","https://openalex.org/W2123453665","https://openalex.org/W2127898833","https://openalex.org/W2128058389","https://openalex.org/W2128770445","https://openalex.org/W2131156776","https://openalex.org/W2144773076","https://openalex.org/W2145251738","https://openalex.org/W2152167357","https://openalex.org/W2157181469","https://openalex.org/W2159558889","https://openalex.org/W2160639609","https://openalex.org/W2164893552","https://openalex.org/W2166880506","https://openalex.org/W2169733476","https://openalex.org/W2186797510","https://openalex.org/W2265598358","https://openalex.org/W2912565176","https://openalex.org/W3147065412","https://openalex.org/W4211007335"],"related_works":["https://openalex.org/W1998281837","https://openalex.org/W2980586888","https://openalex.org/W2985488186","https://openalex.org/W2369770188","https://openalex.org/W1850592477","https://openalex.org/W2749349669","https://openalex.org/W1584319512","https://openalex.org/W4206091228","https://openalex.org/W2111069477","https://openalex.org/W2736132426"],"abstract_inverted_index":{"In":[0,16,36],"this":[1],"paper":[2],"a":[3,99],"new":[4],"filter":[5],"for":[6,72],"image":[7,21,87],"sequences":[8,88],"corrupted":[9],"with":[10],"random":[11],"impulse":[12],"noise":[13,28,57],"is":[14,29,59],"presented.":[15],"order":[17],"to":[18],"preserve":[19],"the":[20,27,40,51,73,83,104,112,123,126],"details":[22],"as":[23,25,45,89,91],"much":[24,90],"possible,":[26,92],"removed":[30],"in":[31,86,98,120],"different":[32],"successive":[33],"filtering":[34],"steps.":[35],"each":[37],"step,":[38],"only":[39],"pixels":[41,53,94],"that":[42,111],"are":[43,48,69,95],"detected":[44,93],"being":[46],"noisy":[47],"filtered,":[49],"while":[50],"noise-free":[52],"remain":[54],"unchanged.":[55],"The":[56],"detection":[58],"based":[60],"on":[61],"fuzzy":[62,66],"set":[63],"theory":[64],"and":[65,78,130],"rules,":[67],"which":[68],"very":[70],"useful":[71],"processing":[74],"of":[75,122],"human":[76],"knowledge":[77],"linguistic":[79],"values.":[80],"To":[81],"exploit":[82],"temporal":[84],"information":[85],"finally":[96],"filtered":[97],"motion":[100],"compensated":[101],"way.":[102],"From":[103],"experimental":[105],"results":[106],"it":[107],"can":[108],"be":[109],"seen":[110],"proposed":[113],"method":[114],"outperforms":[115],"other":[116],"state-of-the-art":[117],"filters":[118],"both":[119],"terms":[121],"peak-signal-to-noise":[124],"ratio,":[125],"mean":[127],"absolute":[128],"error,":[129],"visually.":[131]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}