{"id":"https://openalex.org/W2013737200","doi":"https://doi.org/10.1109/afrcon.2013.6757815","title":"Fast technique for mixed Gaussian and impulsive noise suppression in color images","display_name":"Fast technique for mixed Gaussian and impulsive noise suppression in color images","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W2013737200","doi":"https://doi.org/10.1109/afrcon.2013.6757815","mag":"2013737200"},"language":"en","primary_location":{"id":"doi:10.1109/afrcon.2013.6757815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/afrcon.2013.6757815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Africon","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"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108195063","display_name":"Krystyna Malik","orcid":null},"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":false,"raw_author_name":"Krystyna Malik","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":2,"corresponding_author_ids":["https://openalex.org/A5064459980"],"corresponding_institution_ids":["https://openalex.org/I119004910"],"apc_list":null,"apc_paid":null,"fwci":0.5443,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69261674,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"6626","issue":null,"first_page":"1","last_page":"5"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9983000159263611,"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":0.9916999936103821,"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":0.7226583361625671},{"id":"https://openalex.org/keywords/non-local-means","display_name":"Non-local means","score":0.7117745876312256},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6581162810325623},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6407157778739929},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.6216905117034912},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6165510416030884},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5694869756698608},{"id":"https://openalex.org/keywords/impulse-noise","display_name":"Impulse noise","score":0.5602409243583679},{"id":"https://openalex.org/keywords/median-filter","display_name":"Median filter","score":0.5317507982254028},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5186402201652527},{"id":"https://openalex.org/keywords/salt-and-pepper-noise","display_name":"Salt-and-pepper noise","score":0.45098647475242615},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.438874214887619},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4388258159160614},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.42265403270721436},{"id":"https://openalex.org/keywords/bilateral-filter","display_name":"Bilateral filter","score":0.4215106666088104},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.404340922832489},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.33822759985923767},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3017340302467346},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.2312532663345337}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7226583361625671},{"id":"https://openalex.org/C101453961","wikidata":"https://www.wikidata.org/wiki/Q7048948","display_name":"Non-local means","level":4,"score":0.7117745876312256},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6581162810325623},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6407157778739929},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.6216905117034912},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6165510416030884},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5694869756698608},{"id":"https://openalex.org/C127372701","wikidata":"https://www.wikidata.org/wiki/Q16979398","display_name":"Impulse noise","level":3,"score":0.5602409243583679},{"id":"https://openalex.org/C55352655","wikidata":"https://www.wikidata.org/wiki/Q304247","display_name":"Median filter","level":4,"score":0.5317507982254028},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5186402201652527},{"id":"https://openalex.org/C113660513","wikidata":"https://www.wikidata.org/wiki/Q849379","display_name":"Salt-and-pepper noise","level":5,"score":0.45098647475242615},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.438874214887619},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4388258159160614},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.42265403270721436},{"id":"https://openalex.org/C156140930","wikidata":"https://www.wikidata.org/wiki/Q860417","display_name":"Bilateral filter","level":3,"score":0.4215106666088104},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.404340922832489},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.33822759985923767},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3017340302467346},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.2312532663345337},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/afrcon.2013.6757815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/afrcon.2013.6757815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Africon","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W32221979","https://openalex.org/W40388033","https://openalex.org/W183335773","https://openalex.org/W1545829675","https://openalex.org/W1568324824","https://openalex.org/W1878994352","https://openalex.org/W1975073107","https://openalex.org/W1990448030","https://openalex.org/W2002743102","https://openalex.org/W2022504879","https://openalex.org/W2035333734","https://openalex.org/W2039277711","https://openalex.org/W2045364826","https://openalex.org/W2081100746","https://openalex.org/W2099244020","https://openalex.org/W2111146997","https://openalex.org/W2122698737","https://openalex.org/W2136972847","https://openalex.org/W2142574221","https://openalex.org/W2148054108","https://openalex.org/W2150134853","https://openalex.org/W2162587881","https://openalex.org/W2163548871","https://openalex.org/W2169467627","https://openalex.org/W2292154064","https://openalex.org/W3101250886","https://openalex.org/W6696763372"],"related_works":["https://openalex.org/W2953655071","https://openalex.org/W2121479027","https://openalex.org/W2415066633","https://openalex.org/W1787910866","https://openalex.org/W1483718174","https://openalex.org/W2082346846","https://openalex.org/W2545973440","https://openalex.org/W2073951169","https://openalex.org/W2542493839","https://openalex.org/W2167707673"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"an":[3],"efficient":[4],"filtering":[5,40],"technique":[6],"intended":[7],"for":[8],"the":[9,28,38,61,64,68,73,86],"reduction":[10],"of":[11,30,46,60,75,92],"mixed":[12],"Gaussian":[13],"and":[14,67,84],"impulsive":[15],"noise":[16],"in":[17,63,90],"digital":[18],"color":[19],"images":[20],"is":[21,26,54,81],"presented.":[22],"The":[23,51,78],"proposed":[24,79],"method":[25],"utilizing":[27],"concept":[29],"trimmed":[31],"cumulative":[32],"distances":[33],"assigned":[34],"to":[35],"pixels":[36,62],"from":[37],"local":[39,48],"window,":[41],"which":[42],"serve":[43],"as":[44,56],"measures":[45,74],"a":[47,57],"image":[49,93],"homogeneity.":[50],"filter":[52],"output":[53],"defined":[55],"weighted":[58],"average":[59],"processing":[65],"window":[66],"weights":[69],"are":[70],"constructed":[71],"using":[72],"pixel":[76],"corruption.":[77],"design":[80],"very":[82],"fast":[83],"outperforms":[85],"state-of-the-art":[87],"denoising":[88],"schemes":[89],"terms":[91],"restoration":[94],"quality":[95],"measures.":[96]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}