{"id":"https://openalex.org/W3010347073","doi":"https://doi.org/10.1051/matecconf/202030903032","title":"Novel image detector of fixed-valued impulse noise with high noise intensity","display_name":"Novel image detector of fixed-valued impulse noise with high noise intensity","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3010347073","doi":"https://doi.org/10.1051/matecconf/202030903032","mag":"3010347073"},"language":"en","primary_location":{"id":"doi:10.1051/matecconf/202030903032","doi":"https://doi.org/10.1051/matecconf/202030903032","is_oa":true,"landing_page_url":"https://doi.org/10.1051/matecconf/202030903032","pdf_url":"https://www.matec-conferences.org/articles/matecconf/pdf/2020/05/matecconf_cscns2020_03032.pdf","source":{"id":"https://openalex.org/S4210175061","display_name":"MATEC Web of Conferences","issn_l":"2261-236X","issn":["2261-236X","2274-7214"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","ddh","doaj","norway-1"],"host_organization":"https://openalex.org/P4310319748","host_organization_name":"EDP Sciences","host_organization_lineage":["https://openalex.org/P4310319748","https://openalex.org/P4310319982"],"host_organization_lineage_names":["EDP Sciences","Science Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MATEC Web of Conferences","raw_type":"journal-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.matec-conferences.org/articles/matecconf/pdf/2020/05/matecconf_cscns2020_03032.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059651059","display_name":"Haijiang Hu","orcid":"https://orcid.org/0009-0003-0945-8544","observed_orcids":["https://orcid.org/0009-0003-0945-8544"]},"institutions":[{"id":"https://openalex.org/I135905480","display_name":"Shanghai Polytechnic University","ror":"https://ror.org/02as5yg64","country_code":"CN","type":"education","lineage":["https://openalex.org/I135905480"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haijiang Hu","raw_affiliation_strings":["College of Engineering, Shanghai Polytechnic University, 201209, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, Shanghai Polytechnic University, 201209, Shanghai, China","institution_ids":["https://openalex.org/I135905480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076585971","display_name":"Shaojing Song","orcid":"https://orcid.org/0000-0002-1194-6390","observed_orcids":["https://orcid.org/0000-0002-1194-6390"]},"institutions":[{"id":"https://openalex.org/I135905480","display_name":"Shanghai Polytechnic University","ror":"https://ror.org/02as5yg64","country_code":"CN","type":"education","lineage":["https://openalex.org/I135905480"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shaojing Song","raw_affiliation_strings":["College of Engineering, Shanghai Polytechnic University, 201209, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, Shanghai Polytechnic University, 201209, Shanghai, China","institution_ids":["https://openalex.org/I135905480"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046546260","display_name":"Weifei Gan","orcid":"https://orcid.org/0009-0007-7768-2555","observed_orcids":["https://orcid.org/0009-0007-7768-2555"]},"institutions":[{"id":"https://openalex.org/I135905480","display_name":"Shanghai Polytechnic University","ror":"https://ror.org/02as5yg64","country_code":"CN","type":"education","lineage":["https://openalex.org/I135905480"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weifei Gan","raw_affiliation_strings":["College of Engineering, Shanghai Polytechnic University, 201209, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, Shanghai Polytechnic University, 201209, Shanghai, China","institution_ids":["https://openalex.org/I135905480"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5076585971"],"corresponding_institution_ids":["https://openalex.org/I135905480"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"309","issue":null,"first_page":"03032","last_page":"03032"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9951000213623047,"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":0.9951000213623047,"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":0.002099999925121665,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.0008999999845400453,"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":"impulsive noise","score":0.7940000295639038},{"id":"https://openalex.org/keywords/random-valued-impulse-noise","display_name":"random-valued impulse noise","score":0.7929999828338623},{"id":"https://openalex.org/keywords/noise-detection","display_name":"noise detection","score":0.6830000281333923},{"id":"https://openalex.org/keywords/robustness","display_name":"robustness","score":0.546999990940094}],"concepts":[{"id":"https://openalex.org/C127372701","wikidata":"https://www.wikidata.org/wiki/Q16979398","display_name":"Impulse noise","level":3,"score":0.84885573387146},{"id":"https://openalex.org/C182163834","wikidata":"https://www.wikidata.org/wiki/Q2926529","display_name":"Value noise","level":5,"score":0.7073460817337036},{"id":"https://openalex.org/C200378446","wikidata":"https://www.wikidata.org/wiki/Q4147391","display_name":"Gradient noise","level":5,"score":0.6604902148246765},{"id":"https://openalex.org/C70836080","wikidata":"https://www.wikidata.org/wiki/Q837940","display_name":"Impulse (physics)","level":2,"score":0.5968129634857178},{"id":"https://openalex.org/C35772409","wikidata":"https://www.wikidata.org/wiki/Q1323086","display_name":"Image noise","level":3,"score":0.5579144358634949},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5264323949813843},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.5201205015182495},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.4960714280605316},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.49392181634902954},{"id":"https://openalex.org/C113660513","wikidata":"https://www.wikidata.org/wiki/Q849379","display_name":"Salt-and-pepper noise","level":5,"score":0.43609899282455444},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4259622097015381},{"id":"https://openalex.org/C187612029","wikidata":"https://www.wikidata.org/wiki/Q17083130","display_name":"Noise floor","level":4,"score":0.4059012532234192},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3643529415130615},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3494241237640381},{"id":"https://openalex.org/C55352655","wikidata":"https://www.wikidata.org/wiki/Q304247","display_name":"Median filter","level":4,"score":0.3038782477378845},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.29533132910728455},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.2902088165283203},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.23399049043655396},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15364870429039001},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13860565423965454},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1051/matecconf/202030903032","doi":"https://doi.org/10.1051/matecconf/202030903032","is_oa":true,"landing_page_url":"https://doi.org/10.1051/matecconf/202030903032","pdf_url":"https://www.matec-conferences.org/articles/matecconf/pdf/2020/05/matecconf_cscns2020_03032.pdf","source":{"id":"https://openalex.org/S4210175061","display_name":"MATEC Web of Conferences","issn_l":"2261-236X","issn":["2261-236X","2274-7214"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","ddh","doaj","norway-1"],"host_organization":"https://openalex.org/P4310319748","host_organization_name":"EDP Sciences","host_organization_lineage":["https://openalex.org/P4310319748","https://openalex.org/P4310319982"],"host_organization_lineage_names":["EDP Sciences","Science Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MATEC Web of Conferences","raw_type":"journal-article"},{"id":"pmh:oai:edpsciences.org:dkey/10.1051/matecconf/202030903032","doi":null,"is_oa":false,"landing_page_url":"https://www.matec-conferences.org/10.1051/matecconf/202030903032/pdf","pdf_url":"https://www.matec-conferences.org/10.1051/matecconf/202030903032/pdf","source":{"id":"https://openalex.org/S4306400744","display_name":"Springer Link (Chiba Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I8488066","host_organization_name":"Chiba Institute of Technology","host_organization_lineage":["https://openalex.org/I8488066"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://doi.org/10.1051/matecconf/202030903032","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:82dc989e9bcf467f926888802133a246","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/82dc989e9bcf467f926888802133a246","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"MATEC Web of Conferences, Vol 309, p 03032 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1051/matecconf/202030903032","doi":"https://doi.org/10.1051/matecconf/202030903032","is_oa":true,"landing_page_url":"https://doi.org/10.1051/matecconf/202030903032","pdf_url":"https://www.matec-conferences.org/articles/matecconf/pdf/2020/05/matecconf_cscns2020_03032.pdf","source":{"id":"https://openalex.org/S4210175061","display_name":"MATEC Web of Conferences","issn_l":"2261-236X","issn":["2261-236X","2274-7214"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","ddh","doaj","norway-1"],"host_organization":"https://openalex.org/P4310319748","host_organization_name":"EDP Sciences","host_organization_lineage":["https://openalex.org/P4310319748","https://openalex.org/P4310319982"],"host_organization_lineage_names":["EDP Sciences","Science Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"MATEC Web of Conferences","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3010347073.pdf","grobid_xml":"https://content.openalex.org/works/W3010347073.grobid-xml"},"referenced_works_count":6,"referenced_works":["https://openalex.org/W2010289559","https://openalex.org/W2027616686","https://openalex.org/W2112907544","https://openalex.org/W2143494782","https://openalex.org/W2159558889","https://openalex.org/W2165141499"],"related_works":["https://openalex.org/W1989159291","https://openalex.org/W2136038162","https://openalex.org/W2114672760","https://openalex.org/W1969388475","https://openalex.org/W2595691398","https://openalex.org/W4323927968","https://openalex.org/W2016028352","https://openalex.org/W1989493481","https://openalex.org/W2150726568","https://openalex.org/W7096275821"],"abstract_inverted_index":{"Impulse":[0],"noise":[1,5,15,45,49,109,116],"is":[2,24,47,103,119],"a":[3,44],"common":[4],"in":[6],"digital":[7],"image":[8],"processing,":[9],"which":[10],"includes":[11],"the":[12,17,28,33,52,58,61,67,74,85,88,94,106,114],"fixed-valued":[13,107],"impulse":[14,19,30,48,68,108],"and":[16,55,73,82,84,111],"random-valued":[18],"noise.":[20,69],"A":[21],"novel":[22],"method":[23,54,59,79,92,102],"proposed":[25],"to":[26,41,65,104,121],"detect":[27,66,105],"fix-value":[29],"that":[31,118],"uses":[32,60],"deviation":[34],"of":[35,77,90,100],"slant":[36],"angle":[37],"as":[38],"test":[39,63],"object":[40,64],"recognize":[42],"whether":[43],"candidate":[46],"pixel.":[50],"Distinguishing":[51],"average":[53],"medium":[56],"method,":[57],"new":[62],"The":[70,97],"mathematical":[71],"model":[72],"detection":[75],"algorithm":[76],"this":[78,91,101],"are":[80],"stated":[81],"analyzed,":[83],"experiments":[86],"show":[87],"performance":[89],"under":[93,113],"different":[95,115],"circumstance.":[96],"biggest":[98],"advantage":[99],"correctly":[110],"robustly":[112],"intensity":[117],"up":[120],"0.95.":[122]},"counts_by_year":[],"updated_date":"2026-09-06T09:10:53.072986","created_date":"2020-03-13T00:00:00"}
