{"id":"https://openalex.org/W2113203642","doi":"https://doi.org/10.4304/jcp.7.2.475-482","title":"Multi-Channel Image Noise Filter based on PCNN","display_name":"Multi-Channel Image Noise Filter based on PCNN","publication_year":2012,"publication_date":"2012-02-01","ids":{"openalex":"https://openalex.org/W2113203642","doi":"https://doi.org/10.4304/jcp.7.2.475-482","mag":"2113203642"},"language":"en","primary_location":{"id":"doi:10.4304/jcp.7.2.475-482","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jcp.7.2.475-482","pdf_url":null,"source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","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/A5062015169","display_name":"Beiji Zou","orcid":"https://orcid.org/0000-0002-3542-1097"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Beiji Zou","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104257076","display_name":"Haoyu Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haoyu Zhou","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100353604","display_name":"Hao Chen","orcid":"https://orcid.org/0000-0002-9306-8009"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hao Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5086704004","display_name":"Cao Shi","orcid":"https://orcid.org/0000-0003-2748-5557"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cao Shi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0894,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.80568239,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"7","issue":"2","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":0.9991999864578247,"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":0.9991999864578247,"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/T10320","display_name":"Neural Networks and Applications","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/computer-science","display_name":"Computer science","score":0.5941546559333801},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5125601291656494},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5097543597221375},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.47133302688598633},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4535275101661682},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4159046709537506},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3798898160457611},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.3456670045852661},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09919488430023193},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08102771639823914}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5941546559333801},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5125601291656494},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5097543597221375},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.47133302688598633},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4535275101661682},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4159046709537506},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3798898160457611},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.3456670045852661},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09919488430023193},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08102771639823914}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4304/jcp.7.2.475-482","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jcp.7.2.475-482","pdf_url":null,"source":{"id":"https://openalex.org/S77894049","display_name":"Journal of Computers","issn_l":"1796-203X","issn":["1796-203X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W42203131","https://openalex.org/W44300271","https://openalex.org/W185550393","https://openalex.org/W1555857857","https://openalex.org/W1601760457","https://openalex.org/W1764728056","https://openalex.org/W1831953071","https://openalex.org/W1965012885","https://openalex.org/W1974081602","https://openalex.org/W1977405013","https://openalex.org/W1996773919","https://openalex.org/W2000532519","https://openalex.org/W2001959298","https://openalex.org/W2007564762","https://openalex.org/W2007627285","https://openalex.org/W2014886478","https://openalex.org/W2015082442","https://openalex.org/W2018322767","https://openalex.org/W2018778144","https://openalex.org/W2032843526","https://openalex.org/W2036860271","https://openalex.org/W2053538762","https://openalex.org/W2068707705","https://openalex.org/W2090620219","https://openalex.org/W2091019510","https://openalex.org/W2093401476","https://openalex.org/W2105032518","https://openalex.org/W2105087227","https://openalex.org/W2106000629","https://openalex.org/W2107871468","https://openalex.org/W2115752560","https://openalex.org/W2118292451","https://openalex.org/W2119692812","https://openalex.org/W2122698737","https://openalex.org/W2124139674","https://openalex.org/W2127078478","https://openalex.org/W2127441648","https://openalex.org/W2130354453","https://openalex.org/W2142574221","https://openalex.org/W2143117035","https://openalex.org/W2151091758","https://openalex.org/W2152904516","https://openalex.org/W2162587881","https://openalex.org/W2169467627","https://openalex.org/W2476868371","https://openalex.org/W2482084708","https://openalex.org/W4231257915","https://openalex.org/W4252441856","https://openalex.org/W6600771920","https://openalex.org/W6667938437"],"related_works":["https://openalex.org/W1976985527","https://openalex.org/W1963716487","https://openalex.org/W2354034738","https://openalex.org/W2382303592","https://openalex.org/W1489340745","https://openalex.org/W2899315007","https://openalex.org/W2549138563","https://openalex.org/W2335010068","https://openalex.org/W2153839336","https://openalex.org/W2035889111"],"abstract_inverted_index":{"Through":[0],"analysis":[1],"of":[2,11,36,42],"PCNN\u2019s":[3,30],"work":[4],"principle,":[5],"a":[6,61],"noval":[7],"filtering":[8],"approach":[9],"capable":[10],"detecting":[12],"and":[13,51,75],"removing":[14],"impulsive":[15,84],"noise":[16,23,58],"in":[17,25],"multi-channel":[18],"images.":[19],"The":[20],"filter":[21,71],"detects":[22],"pixels":[24,59],"the":[26,34,57,69],"image":[27],"by":[28,60],"utilizing":[29],"specific":[31],"feature":[32],"that":[33,68],"fire":[35],"one":[37],"neuron":[38],"can":[39],"capture":[40],"firing":[41],"its":[43],"adjacent":[44],"neurons":[45],"due":[46],"to":[47,78],"their":[48],"spatial":[49],"proximity":[50],"intensity":[52],"similarity.":[53],"Then":[54],"it":[55],"estimates":[56],"VMF-likely":[62],"vector":[63],"filtering.":[64],"Experimental":[65],"results":[66],"show":[67],"proposed":[70],"has":[72],"excellent":[73],"performance,":[74],"is":[76],"able":[77],"preserve":[79],"fine":[80],"details":[81],"while":[82],"suppressing":[83],"noise.":[85]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}