{"id":"https://openalex.org/W2037919842","doi":"https://doi.org/10.1109/icip.2013.6738250","title":"Fast impulsive noise removal in color images","display_name":"Fast impulsive noise removal in color images","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W2037919842","doi":"https://doi.org/10.1109/icip.2013.6738250","mag":"2037919842"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2013.6738250","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738250","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Image Processing","raw_type":"proceedings-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/A5064459980","display_name":"Bogdan Smo\u0142ka","orcid":"https://orcid.org/0000-0003-1883-3580"},"institutions":[{"id":"https://openalex.org/I119004910","display_name":"Silesian University of Technology","ror":"https://ror.org/02dyjk442","country_code":"PL","type":"education","lineage":["https://openalex.org/I119004910"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Bogdan Smolka","raw_affiliation_strings":["Department of Automatic Control, Silesian University of Technology, Gliwice, Poland","Dept. of Autom. Control, Silesian Univ. of Technol., Gliwice, Poland"],"affiliations":[{"raw_affiliation_string":"Department of Automatic Control, Silesian University of Technology, Gliwice, Poland","institution_ids":["https://openalex.org/I119004910"]},{"raw_affiliation_string":"Dept. of Autom. Control, Silesian Univ. of Technol., Gliwice, Poland","institution_ids":["https://openalex.org/I119004910"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5064459980"],"corresponding_institution_ids":["https://openalex.org/I119004910"],"apc_list":null,"apc_paid":null,"fwci":1.0886,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.80547675,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"49","issue":null,"first_page":"1212","last_page":"1216"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.9986000061035156,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9973000288009644,"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/pixel","display_name":"Pixel","score":0.7839748859405518},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7199488878250122},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6858060359954834},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6180213689804077},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5587152242660522},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5519883632659912},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5483728647232056},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5243513584136963},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.48042893409729004},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46568408608436584},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.4249448776245117},{"id":"https://openalex.org/keywords/impulse-noise","display_name":"Impulse noise","score":0.42054638266563416},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3288145661354065},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.23715195059776306}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7839748859405518},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7199488878250122},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6858060359954834},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6180213689804077},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5587152242660522},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5519883632659912},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5483728647232056},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5243513584136963},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.48042893409729004},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46568408608436584},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.4249448776245117},{"id":"https://openalex.org/C127372701","wikidata":"https://www.wikidata.org/wiki/Q16979398","display_name":"Impulse noise","level":3,"score":0.42054638266563416},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3288145661354065},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.23715195059776306},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2013.6738250","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2013.6738250","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W40388033","https://openalex.org/W63729484","https://openalex.org/W183335773","https://openalex.org/W1487032337","https://openalex.org/W1494615824","https://openalex.org/W1545829675","https://openalex.org/W1878994352","https://openalex.org/W1965307931","https://openalex.org/W1966305518","https://openalex.org/W1967194140","https://openalex.org/W1975073107","https://openalex.org/W1977405013","https://openalex.org/W1992535514","https://openalex.org/W2002743102","https://openalex.org/W2007627285","https://openalex.org/W2011146109","https://openalex.org/W2018778144","https://openalex.org/W2035333734","https://openalex.org/W2035513942","https://openalex.org/W2045364826","https://openalex.org/W2053610583","https://openalex.org/W2066823170","https://openalex.org/W2081100746","https://openalex.org/W2085518012","https://openalex.org/W2107871468","https://openalex.org/W2111146997","https://openalex.org/W2122698737","https://openalex.org/W2127441648","https://openalex.org/W2137467972","https://openalex.org/W2139775701","https://openalex.org/W2147490290","https://openalex.org/W2148054108","https://openalex.org/W2150526442","https://openalex.org/W2151091758","https://openalex.org/W2154326607","https://openalex.org/W2160817147","https://openalex.org/W2162587881","https://openalex.org/W2163548871","https://openalex.org/W2169467627","https://openalex.org/W2476868371","https://openalex.org/W2499334499","https://openalex.org/W3101250886","https://openalex.org/W3102187347","https://openalex.org/W4211253871","https://openalex.org/W4285719527","https://openalex.org/W4298726847","https://openalex.org/W4378009211","https://openalex.org/W6681487491","https://openalex.org/W6724004949"],"related_works":["https://openalex.org/W2354855219","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1969388475","https://openalex.org/W2756361190","https://openalex.org/W2593128366","https://openalex.org/W3143566216","https://openalex.org/W2571655022","https://openalex.org/W2118824338"],"abstract_inverted_index":{"In":[0],"the":[1,9,15,28,31,39,46,62,70],"paper":[2],"a":[3,42,85],"novel":[4,63],"switching":[5],"filter":[6],"based":[7],"on":[8],"reduced":[10],"ordering":[11],"statistics,":[12],"combined":[13],"with":[14],"peer":[16],"group":[17],"concept":[18],"is":[19,48,56,65,82],"proposed.":[20],"The":[21,58,78],"new":[22],"technique":[23],"assigns":[24],"to":[25,33,68],"each":[26],"pixel":[27,47],"sum":[29,40],"of":[30,61],"distances":[32],"two":[34],"closest":[35],"neighbors":[36],"and":[37,52],"if":[38],"exceeds":[41],"specified":[43],"threshold,":[44],"then":[45],"declared":[49],"as":[50],"corrupted":[51],"replaced,":[53],"otherwise":[54],"it":[55],"retained.":[57],"main":[59],"advantage":[60],"approach":[64],"its":[66,92],"ability":[67],"suppress":[69],"noise":[71],"component,":[72],"while":[73],"preserving":[74],"fine":[75],"image":[76],"details.":[77],"proposed":[79],"filtering":[80],"framework":[81],"characterized":[83],"by":[84],"very":[86],"low":[87],"computational":[88],"complexity,":[89],"which":[90],"enables":[91],"adoption":[93],"in":[94],"real-time":[95],"applications.":[96]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}