{"id":"https://openalex.org/W2783139188","doi":"https://doi.org/10.1109/ispacs.2017.8265635","title":"Multiplicative noise removal using deep CNN denoiser prior","display_name":"Multiplicative noise removal using deep CNN denoiser prior","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2783139188","doi":"https://doi.org/10.1109/ispacs.2017.8265635","mag":"2783139188"},"language":"en","primary_location":{"id":"doi:10.1109/ispacs.2017.8265635","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispacs.2017.8265635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","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/A5100449043","display_name":"Guodong Wang","orcid":"https://orcid.org/0000-0003-0508-826X"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guodong Wang","raw_affiliation_strings":["College of Computer Science and Technology, Qingdao University, China","Qingdao University, Qingdao, Shandong, CN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Qingdao University, China","institution_ids":[]},{"raw_affiliation_string":"Qingdao University, Qingdao, Shandong, CN","institution_ids":["https://openalex.org/I108688024"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089783869","display_name":"GuoTao Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"GuoTao Wang","raw_affiliation_strings":["College of Computer Science and Technology, Qingdao University, China","Qingdao University, Qingdao, Shandong, CN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Qingdao University, China","institution_ids":[]},{"raw_affiliation_string":"Qingdao University, Qingdao, Shandong, CN","institution_ids":["https://openalex.org/I108688024"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056058837","display_name":"Zhenkuan Pan","orcid":"https://orcid.org/0000-0003-0197-1119"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhenkuan Pan","raw_affiliation_strings":["College of Computer Science and Technology, Qingdao University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Qingdao University, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057845734","display_name":"Zhimei Zhang","orcid":"https://orcid.org/0000-0003-0774-3109"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhimei Zhang","raw_affiliation_strings":["College of Data Science and Software Engineering, Qingdao University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Data Science and Software Engineering, Qingdao University, China","institution_ids":["https://openalex.org/I108688024"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9988999962806702,"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"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9977999925613403,"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":0.6556543111801147},{"id":"https://openalex.org/keywords/multiplicative-noise","display_name":"Multiplicative noise","score":0.5754095315933228},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5387324690818787},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4263278841972351},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.39833080768585205},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.17139258980751038}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6556543111801147},{"id":"https://openalex.org/C18015164","wikidata":"https://www.wikidata.org/wiki/Q6935000","display_name":"Multiplicative noise","level":5,"score":0.5754095315933228},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5387324690818787},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4263278841972351},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.39833080768585205},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17139258980751038},{"id":"https://openalex.org/C131021393","wikidata":"https://www.wikidata.org/wiki/Q7512759","display_name":"Signal transfer function","level":4,"score":0.0},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C13412647","wikidata":"https://www.wikidata.org/wiki/Q174948","display_name":"Analog signal","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ispacs.2017.8265635","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispacs.2017.8265635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8999999761581421,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W112727521","https://openalex.org/W260753247","https://openalex.org/W1665710069","https://openalex.org/W1998339281","https://openalex.org/W2011124634","https://openalex.org/W2011516671","https://openalex.org/W2013388817","https://openalex.org/W2029931449","https://openalex.org/W2045573972","https://openalex.org/W2054867636","https://openalex.org/W2056370875","https://openalex.org/W2069766163","https://openalex.org/W2103559027","https://openalex.org/W2108179490","https://openalex.org/W2125852763","https://openalex.org/W2135036909","https://openalex.org/W2150134853","https://openalex.org/W2214394684","https://openalex.org/W2250926740","https://openalex.org/W2258573099","https://openalex.org/W2284241803","https://openalex.org/W2294876837","https://openalex.org/W2342849074","https://openalex.org/W2487183298","https://openalex.org/W2584526915","https://openalex.org/W2613155248"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Multiplicative":[0],"noise":[1,20,93],"removal":[2,21],"is":[3,94,103,117],"always":[4],"a":[5],"hard":[6,73],"problem":[7],"in":[8,27,96],"fundamental":[9],"image":[10,32],"processing":[11],"task.":[12],"Many":[13],"methods":[14],"are":[15,37,54,72],"proposed":[16,39,56,95,100,123],"for":[17,57,90,119],"the":[18,31,59,64,70,85,120,127,136],"multiplicative":[19,92],"by":[22,110],"using":[23,63],"different":[24],"denoiser":[25,88],"prior":[26,89],"variational":[28],"framework.":[29],"Among":[30],"prior,":[33],"total":[34],"variation":[35],"(TV)":[36],"first":[38],"and":[40,50,114,130],"then":[41],"many":[42,51],"other":[43,52],"regularization":[44],"such":[45],"as":[46],"PM,":[47],"TGV,":[48],"nonlocal":[49],"priors":[53,65],"also":[55],"enhance":[58],"denoising":[60],"ability.":[61],"Although":[62],"can":[66,131,139],"get":[67],"good":[68,133,145],"performance,":[69],"models":[71],"to":[74],"be":[75],"resolved":[76],"with":[77],"sophisticated":[78,128],"priors.":[79],"A":[80],"new":[81],"model":[82],"based":[83],"on":[84],"deep":[86],"CNN":[87],"removing":[91],"this":[97],"paper.":[98],"The":[99,122],"energy":[101],"function":[102],"effectively":[104],"calculated":[105],"via":[106],"several":[107],"sub-optimal":[108],"questions":[109],"split":[111],"bregman":[112],"method":[113,124,143],"alternative":[115],"minimization":[116],"used":[118],"solution.":[121],"needn't":[125],"deduce":[126],"formula":[129],"achieve":[132],"performance.":[134],"From":[135],"experiments,":[137],"we":[138],"see":[140],"that":[141],"our":[142],"achieved":[144],"results.":[146]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}