{"id":"https://openalex.org/W2966666406","doi":"https://doi.org/10.1609/aaai.v33i01.330110085","title":"Adaptation Strategies for Applying AWGN-Based Denoiser to Realistic Noise","display_name":"Adaptation Strategies for Applying AWGN-Based Denoiser to Realistic Noise","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2966666406","doi":"https://doi.org/10.1609/aaai.v33i01.330110085","mag":"2966666406"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.330110085","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.330110085","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/5179/5052","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/5179/5052","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101667454","display_name":"Yuqian Zhou","orcid":"https://orcid.org/0000-0001-7100-113X"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yuqian Zhou","raw_affiliation_strings":["University of Illinois at Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017599481","display_name":"Jianbo Jiao","orcid":"https://orcid.org/0000-0003-0833-5115"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianbo Jiao","raw_affiliation_strings":["University of Illinois at Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101795031","display_name":"Haibin Huang","orcid":"https://orcid.org/0000-0002-7787-6428"},"institutions":[{"id":"https://openalex.org/I4210160780","display_name":"National Institute Of Veterinary Epidemiology And Disease Informatics","ror":"https://ror.org/04s9fyw02","country_code":"IN","type":"facility","lineage":["https://openalex.org/I179420787","https://openalex.org/I4210160780"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Haibin Huang","raw_affiliation_strings":["Megvii Face++"],"affiliations":[{"raw_affiliation_string":"Megvii Face++","institution_ids":["https://openalex.org/I4210160780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100440604","display_name":"Jue Wang","orcid":"https://orcid.org/0000-0002-3641-3136"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jue Wang","raw_affiliation_strings":["University of Illinois at Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037190573","display_name":"Thomas Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas Huang","raw_affiliation_strings":["University of Illinois at Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101667454"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":0.8567,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.80160391,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"33","issue":"01","first_page":"10085","last_page":"10086"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9947999715805054,"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":0.9947999715805054,"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/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.9890999794006348,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9567000269889832,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.8839013576507568},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6110488176345825},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5695274472236633},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.5534791350364685},{"id":"https://openalex.org/keywords/impulse-noise","display_name":"Impulse noise","score":0.494396448135376},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.46632224321365356},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3709804117679596},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3490799367427826},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33987662196159363},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.3339911699295044},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1330106258392334}],"concepts":[{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.8839013576507568},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6110488176345825},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5695274472236633},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.5534791350364685},{"id":"https://openalex.org/C127372701","wikidata":"https://www.wikidata.org/wiki/Q16979398","display_name":"Impulse noise","level":3,"score":0.494396448135376},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.46632224321365356},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3709804117679596},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3490799367427826},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33987662196159363},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.3339911699295044},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1330106258392334},{"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/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1609/aaai.v33i01.330110085","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.330110085","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/5179/5052","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/48629cad-676f-44c3-868e-8e781ac137e4","is_oa":false,"landing_page_url":"https://research.birmingham.ac.uk/en/publications/48629cad-676f-44c3-868e-8e781ac137e4","pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Zhou, Y, Jiao, J, Huang, H, Wang, J & Huang, T 2019, Adaptation strategies for applying awgn-based denoiser to realistic noise. in 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019. 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, AAAI Press, pp. 10085-10086, 33rd AAAI Conference on Artificial Intelligence, Honolulu, Hawaii, United States, 27/01/19.","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:pure.atira.dk:publications/48629cad-676f-44c3-868e-8e781ac137e4","is_oa":false,"landing_page_url":"https://birmingham.elsevierpure.com/en/publications/48629cad-676f-44c3-868e-8e781ac137e4","pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Zhou, Y, Jiao, J, Huang, H, Wang, J & Huang, T 2019, Adaptation strategies for applying awgn-based denoiser to realistic noise. in 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019. 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, AAAI Press, pp. 10085-10086, 33rd AAAI Conference on Artificial Intelligence, Honolulu, Hawaii, United States, 27/01/19.","raw_type":"contributionToPeriodical"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.330110085","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.330110085","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/5179/5052","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7900000214576721,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2966666406.pdf","grobid_xml":"https://content.openalex.org/works/W2966666406.grobid-xml"},"referenced_works_count":5,"referenced_works":["https://openalex.org/W2150427434","https://openalex.org/W2508457857","https://openalex.org/W2596585942","https://openalex.org/W2727642811","https://openalex.org/W6651416709"],"related_works":["https://openalex.org/W2159720070","https://openalex.org/W2463830379","https://openalex.org/W1991133639","https://openalex.org/W2157134024","https://openalex.org/W2985488186","https://openalex.org/W2165264176","https://openalex.org/W2290527899","https://openalex.org/W2064270814","https://openalex.org/W2286538174","https://openalex.org/W2016732018"],"abstract_inverted_index":{"Discriminative":[0],"learning":[1],"based":[2],"denoising":[3],"model":[4,69,90],"trained":[5,47],"with":[6,56],"Additive":[7],"White":[8],"Gaussian":[9,58],"Noise":[10,64],"(AWGN)":[11,59],"performs":[12],"well":[13],"on":[14],"synthesized":[15],"noise.":[16,44],"However,":[17],"realistic":[18,43,71],"noise":[19,52,89],"can":[20],"be":[21],"spatialvariant,":[22],"signal-dependent":[23],"and":[24,54,60,77,91],"a":[25,48],"mixture":[26],"of":[27,86],"complicated":[28],"noises.":[29],"In":[30],"this":[31],"paper,":[32],"we":[33,46,73],"explore":[34],"multiple":[35],"strategies":[36],"for":[37],"applying":[38],"an":[39],"AWGN-based":[40],"denoiser":[41,55],"to":[42,70],"Specifically,":[45],"deep":[49],"network":[50],"integrating":[51],"estimating":[53],"mixed":[57],"Random":[61],"Value":[62],"Impulse":[63],"(RVIN).":[65],"To":[66],"adapt":[67],"the":[68,84,87],"noises,":[72],"investigated":[74],"multi-channel,":[75],"multi-scale":[76],"super-resolution":[78],"approaches.":[79],"Our":[80],"preliminary":[81],"results":[82],"demonstrated":[83],"effectiveness":[85],"newly-proposed":[88],"adaptation":[92],"strategies.":[93]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}