{"id":"https://openalex.org/W2073472025","doi":"https://doi.org/10.1109/icsipa.2011.6144066","title":"Impulse noise removal using fuzzy logic and alpha-trimmed mean","display_name":"Impulse noise removal using fuzzy logic and alpha-trimmed mean","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2073472025","doi":"https://doi.org/10.1109/icsipa.2011.6144066","mag":"2073472025"},"language":"en","primary_location":{"id":"doi:10.1109/icsipa.2011.6144066","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsipa.2011.6144066","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5012646380","display_name":"Ayyaz Hussain","orcid":"https://orcid.org/0000-0003-1476-3693"},"institutions":[{"id":"https://openalex.org/I121243025","display_name":"International Islamic University, Islamabad","ror":"https://ror.org/047w75g40","country_code":"PK","type":"education","lineage":["https://openalex.org/I121243025"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Ayyaz Hussain","raw_affiliation_strings":["Department of Computer Science, Faculty of Basic and Applied Sciences, International Islamic University, Islamabad, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Faculty of Basic and Applied Sciences, International Islamic University, Islamabad, Pakistan","institution_ids":["https://openalex.org/I121243025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111238327","display_name":"Qaisar Javaid","orcid":null},"institutions":[{"id":"https://openalex.org/I121243025","display_name":"International Islamic University, Islamabad","ror":"https://ror.org/047w75g40","country_code":"PK","type":"education","lineage":["https://openalex.org/I121243025"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Qaisar Javaid","raw_affiliation_strings":["Department of Computer Science, Faculty of Basic and Applied Sciences, International Islamic University, Islamabad, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Faculty of Basic and Applied Sciences, International Islamic University, Islamabad, Pakistan","institution_ids":["https://openalex.org/I121243025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110244805","display_name":"Mohammad Siddique","orcid":"https://orcid.org/0000-0001-5772-3064"},"institutions":[{"id":"https://openalex.org/I184654094","display_name":"Fayetteville State University","ror":"https://ror.org/03rj92e31","country_code":"US","type":"education","lineage":["https://openalex.org/I184654094"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohammad Siddique","raw_affiliation_strings":["Department of Mathematics and Computer Science, Fayetteville State University, USA","Department of Mathematics and Computer Science Fayetteville State University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, Fayetteville State University, USA","institution_ids":["https://openalex.org/I184654094"]},{"raw_affiliation_string":"Department of Mathematics and Computer Science Fayetteville State University, USA","institution_ids":["https://openalex.org/I184654094"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2378,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.46425652,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"5","issue":null,"first_page":"216","last_page":"220"},"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":0.9966999888420105,"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/truncated-mean","display_name":"Truncated mean","score":0.8442621231079102},{"id":"https://openalex.org/keywords/impulse-noise","display_name":"Impulse noise","score":0.7418982982635498},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6050187349319458},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5469250679016113},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5437830686569214},{"id":"https://openalex.org/keywords/median-filter","display_name":"Median filter","score":0.4942586421966553},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4801977872848511},{"id":"https://openalex.org/keywords/peak-signal-to-noise-ratio","display_name":"Peak signal-to-noise ratio","score":0.4600960612297058},{"id":"https://openalex.org/keywords/impulse","display_name":"Impulse (physics)","score":0.45556971430778503},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43241819739341736},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4163277745246887},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.35137128829956055},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3304350972175598},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.2580867409706116},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19985461235046387},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1821092665195465},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.16686144471168518},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0666729211807251}],"concepts":[{"id":"https://openalex.org/C116714509","wikidata":"https://www.wikidata.org/wiki/Q32278","display_name":"Truncated mean","level":3,"score":0.8442621231079102},{"id":"https://openalex.org/C127372701","wikidata":"https://www.wikidata.org/wiki/Q16979398","display_name":"Impulse noise","level":3,"score":0.7418982982635498},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6050187349319458},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5469250679016113},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5437830686569214},{"id":"https://openalex.org/C55352655","wikidata":"https://www.wikidata.org/wiki/Q304247","display_name":"Median filter","level":4,"score":0.4942586421966553},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4801977872848511},{"id":"https://openalex.org/C154579607","wikidata":"https://www.wikidata.org/wiki/Q3373850","display_name":"Peak signal-to-noise ratio","level":3,"score":0.4600960612297058},{"id":"https://openalex.org/C70836080","wikidata":"https://www.wikidata.org/wiki/Q837940","display_name":"Impulse (physics)","level":2,"score":0.45556971430778503},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43241819739341736},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4163277745246887},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.35137128829956055},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3304350972175598},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.2580867409706116},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19985461235046387},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1821092665195465},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.16686144471168518},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0666729211807251},{"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/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icsipa.2011.6144066","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsipa.2011.6144066","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)","raw_type":"proceedings-article"},{"id":"pmh:oai:digitalcommons.uncfsu.edu:college_health_science_technology-1847","is_oa":false,"landing_page_url":"https://digitalcommons.uncfsu.edu/college_health_science_technology/848","pdf_url":null,"source":{"id":"https://openalex.org/S4306400276","display_name":"DigitalCommons@Fayetteville State University (Fayetteville State University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184654094","host_organization_name":"Fayetteville State University","host_organization_lineage":["https://openalex.org/I184654094"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"College of Health, Science, and Technology","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1580963329","https://openalex.org/W1843620980","https://openalex.org/W1931005308","https://openalex.org/W1980338416","https://openalex.org/W1987188502","https://openalex.org/W2090356242","https://openalex.org/W2103488967","https://openalex.org/W2107474456","https://openalex.org/W2122214262","https://openalex.org/W2128058389","https://openalex.org/W2167101753","https://openalex.org/W2169733476"],"related_works":["https://openalex.org/W2953655071","https://openalex.org/W2082346846","https://openalex.org/W1119536157","https://openalex.org/W2359002434","https://openalex.org/W2038711438","https://openalex.org/W2034977280","https://openalex.org/W892310655","https://openalex.org/W2350393143","https://openalex.org/W351749443","https://openalex.org/W2147523569"],"abstract_inverted_index":{"In":[0],"this":[1,81],"paper,":[2],"fuzzy":[3,36,55],"logic":[4,37],"and":[5,45,102],"alpha-trimmed":[6,31],"mean":[7,32,44],"based":[8,93],"filter":[9],"has":[10],"been":[11],"proposed":[12,25],"for":[13],"the":[14,28,40,54,66,70,77,87],"smooth":[15],"out":[16],"uniform":[17],"impulse":[18,89],"noise":[19,90],"from":[20],"corrupted":[21],"gray-scale":[22],"images.":[23],"The":[24],"method":[26],"employs":[27],"concept":[29],"of":[30,69],"in":[33,80],"combination":[34],"with":[35],"to":[38,52,64],"avoid":[39],"outlier":[41],"effect.":[42],"Alpha-trimmed":[43],"median":[46],"values":[47],"play":[48],"an":[49],"important":[50],"role":[51],"formulate":[53],"membership":[56],"function.":[57],"This":[58],"function":[59],"is":[60],"then":[61],"finally":[62],"used":[63],"compute":[65],"estimated":[67],"value":[68],"noisy":[71],"pixel.":[72],"Experimental":[73],"results":[74],"demonstrates":[75],"that":[76],"technique":[78],"presented":[79],"paper":[82],"gives":[83],"better":[84],"performance":[85,97],"than":[86],"other":[88],"removal":[91],"techniques":[92],"on":[94],"well":[95],"known":[96],"measure":[98,106],"namely":[99],"peak-signal-to-noise-ratio":[100],"(PSNR)":[101],"structural":[103],"similarity":[104],"index":[105],"(SSIM).":[107]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
