{"id":"https://openalex.org/W3088894821","doi":"https://doi.org/10.1109/access.2020.3025324","title":"Semi-Supervised Learning-Based Image Denoising for Big Data","display_name":"Semi-Supervised Learning-Based Image Denoising for Big Data","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3088894821","doi":"https://doi.org/10.1109/access.2020.3025324","mag":"3088894821"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3025324","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3025324","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09201398.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09201398.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100342350","display_name":"Kun Zhang","orcid":"https://orcid.org/0000-0002-6237-8194"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Zhang","raw_affiliation_strings":["College of Intelligent Equipment, Shandong University of Science and Technology, Tai\u2019an, China","College of Intelligent Equipment, Shandong University of Science and Technology, Tai'an, China"],"raw_orcid":"https://orcid.org/0000-0002-6237-8194","affiliations":[{"raw_affiliation_string":"College of Intelligent Equipment, Shandong University of Science and Technology, Tai\u2019an, China","institution_ids":["https://openalex.org/I80143920"]},{"raw_affiliation_string":"College of Intelligent Equipment, Shandong University of Science and Technology, Tai'an, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100437969","display_name":"Kai Chen","orcid":"https://orcid.org/0000-0002-4457-7536"},"institutions":[{"id":"https://openalex.org/I4210118050","display_name":"Taishan University","ror":"https://ror.org/02bpnkx55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210118050"]},{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Chen","raw_affiliation_strings":["Taishan Institute of Technology, Shandong University of Science and Technology, Tai\u2019an, China","Taishan Institute of Technology, Shandong University of Science and Technology, Tai'an, China"],"raw_orcid":"https://orcid.org/0000-0002-4457-7536","affiliations":[{"raw_affiliation_string":"Taishan Institute of Technology, Shandong University of Science and Technology, Tai\u2019an, China","institution_ids":["https://openalex.org/I4210118050","https://openalex.org/I80143920"]},{"raw_affiliation_string":"Taishan Institute of Technology, Shandong University of Science and Technology, Tai'an, China","institution_ids":["https://openalex.org/I4210118050","https://openalex.org/I80143920"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10274698,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":null,"first_page":"172678","last_page":"172691"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9975000023841858,"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":0.9975000023841858,"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":0.9945999979972839,"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":0.9786999821662903,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7271226644515991},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7226690649986267},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.7163569927215576},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6876447200775146},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6182180643081665},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5782684087753296},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4980170726776123},{"id":"https://openalex.org/keywords/video-denoising","display_name":"Video denoising","score":0.4668562710285187},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.44577598571777344},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4333462715148926},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4206305146217346},{"id":"https://openalex.org/keywords/non-local-means","display_name":"Non-local means","score":0.42021989822387695},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.40817978978157043},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.21368515491485596}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7271226644515991},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7226690649986267},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7163569927215576},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6876447200775146},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6182180643081665},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5782684087753296},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4980170726776123},{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.4668562710285187},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.44577598571777344},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4333462715148926},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4206305146217346},{"id":"https://openalex.org/C101453961","wikidata":"https://www.wikidata.org/wiki/Q7048948","display_name":"Non-local means","level":4,"score":0.42021989822387695},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.40817978978157043},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.21368515491485596},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.0},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C23431618","wikidata":"https://www.wikidata.org/wiki/Q1404672","display_name":"Multiview Video Coding","level":4,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3025324","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3025324","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09201398.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:494d697451c8416885174a5918d1db11","is_oa":true,"landing_page_url":"https://doaj.org/article/494d697451c8416885174a5918d1db11","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,"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":"IEEE Access, Vol 8, Pp 172678-172691 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3025324","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3025324","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09201398.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3088894821.pdf","grobid_xml":"https://content.openalex.org/works/W3088894821.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W2292611533","https://openalex.org/W2319296287","https://openalex.org/W2407961458","https://openalex.org/W2414830503","https://openalex.org/W2556806401","https://openalex.org/W2592808544","https://openalex.org/W2604163838","https://openalex.org/W2606423210","https://openalex.org/W2620547787","https://openalex.org/W2746791238","https://openalex.org/W2748021867","https://openalex.org/W2768975974","https://openalex.org/W2788271884","https://openalex.org/W2789854191","https://openalex.org/W2794891752","https://openalex.org/W2803224943","https://openalex.org/W2805808328","https://openalex.org/W2883938769","https://openalex.org/W2894410771","https://openalex.org/W2901968277","https://openalex.org/W2902972690","https://openalex.org/W2911281319","https://openalex.org/W2933102709","https://openalex.org/W2935225234","https://openalex.org/W2942837495","https://openalex.org/W2944502388","https://openalex.org/W2951997761","https://openalex.org/W2967098998","https://openalex.org/W2979395867","https://openalex.org/W2985942865","https://openalex.org/W2991153448","https://openalex.org/W2991722393","https://openalex.org/W2995072672","https://openalex.org/W2995206248","https://openalex.org/W3006540686","https://openalex.org/W3106295246","https://openalex.org/W3121281282","https://openalex.org/W4244447674","https://openalex.org/W6748507187"],"related_works":["https://openalex.org/W233850645","https://openalex.org/W4213271663","https://openalex.org/W2776327255","https://openalex.org/W1974796563","https://openalex.org/W2903172302","https://openalex.org/W2912885816","https://openalex.org/W2078677256","https://openalex.org/W2082304850","https://openalex.org/W2348643679","https://openalex.org/W1538114257"],"abstract_inverted_index":{"In":[0],"this":[1,131,149],"paper,":[2],"the":[3,17,24,27,42,47,70,74,105,111,117,122,146,155],"research":[4,147],"of":[5,26,49,73],"image":[6,37,87,112,118,128,170],"noise":[7,25,113,142],"reduction":[8],"based":[9,80],"on":[10,41,81],"semi-supervised":[11,58],"learning":[12,59,79],"is":[13,20,54,84,152],"carried":[14],"out,":[15],"and":[16,35,68,89,115,162],"neural":[18,44,158],"network":[19,45,53,83,91,159],"used":[21],"to":[22,31,66],"reduce":[23],"image,":[28],"so":[29],"as":[30,62],"achieve":[32],"more":[33],"stable":[34],"good":[36,86,102,136],"display":[38],"ability.":[39],"Based":[40],"convolutional":[43,82,157],"algorithm,":[46],"role":[48],"activation":[50],"function":[51],"optimization":[52],"studied,":[55],"combined":[56],"with":[57,94,126],"modes":[60],"such":[61],"multi-feature":[63,163],"extraction":[64,164],"technology,":[65],"learn":[67],"extract":[69],"key":[71],"features":[72],"input":[75],"image.":[76],"Semi-supervised":[77],"residual":[78],"a":[85,135],"denoising":[88,90,97,129,160],"model.":[92],"Compared":[93],"other":[95,127],"excellent":[96],"algorithms,":[98,130],"it":[99,108,151],"has":[100],"very":[101],"results.":[103],"At":[104,121],"same":[106,123],"time,":[107,124],"greatly":[109],"improves":[110],"pollution":[114],"makes":[116],"details":[119],"clearer.":[120],"compared":[125],"algorithm":[132],"can":[133],"show":[134],"peak":[137],"signal-to-noise":[138],"ratio":[139],"under":[140],"various":[141],"standard":[143],"deviations.":[144],"Through":[145],"in":[148,169],"article,":[150],"verified":[153],"that":[154],"improved":[156],"model":[161],"technology":[165],"have":[166],"strong":[167],"advantages":[168],"denoising.":[171]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}