{"id":"https://openalex.org/W4220835499","doi":"https://doi.org/10.1007/s10489-022-03333-6","title":"NIRN: Self-supervised noisy image reconstruction network for real-world image denoising","display_name":"NIRN: Self-supervised noisy image reconstruction network for real-world image denoising","publication_year":2022,"publication_date":"2022-03-25","ids":{"openalex":"https://openalex.org/W4220835499","doi":"https://doi.org/10.1007/s10489-022-03333-6"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-022-03333-6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-022-03333-6","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","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/A5100355077","display_name":"Xiaopeng Li","orcid":"https://orcid.org/0000-0001-8103-5595"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaopeng Li","raw_affiliation_strings":["School of Electronic Information, Wuhan University, Wuhan, 430072, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, Wuhan, 430072, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090656144","display_name":"Cien Fan","orcid":"https://orcid.org/0000-0002-4973-6444"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cien Fan","raw_affiliation_strings":["School of Electronic Information, Wuhan University, Wuhan, 430072, China"],"raw_orcid":"https://orcid.org/0000-0002-4973-6444","affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, Wuhan, 430072, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101993842","display_name":"Chen Zhao","orcid":"https://orcid.org/0000-0003-4993-5416"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Zhao","raw_affiliation_strings":["School of Electronic Information, Wuhan University, Wuhan, 430072, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, Wuhan, 430072, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050199771","display_name":"Lian Zou","orcid":"https://orcid.org/0000-0001-9090-1782"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lian Zou","raw_affiliation_strings":["School of Electronic Information, Wuhan University, Wuhan, 430072, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, Wuhan, 430072, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042084472","display_name":"Sheng Tian","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Tian","raw_affiliation_strings":["School of Electronic Information, Wuhan University, Wuhan, 430072, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Wuhan University, Wuhan, 430072, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100355077"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.9184,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.74414484,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"52","issue":"14","first_page":"16683","last_page":"16700"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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":0.9998000264167786,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9965999722480774,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9965000152587891,"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/computer-science","display_name":"Computer science","score":0.82285475730896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7198583483695984},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6916696429252625},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6650905013084412},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.575646698474884},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5388661623001099},{"id":"https://openalex.org/keywords/image-noise","display_name":"Image noise","score":0.5243561267852783},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.5077391862869263},{"id":"https://openalex.org/keywords/dark-frame-subtraction","display_name":"Dark-frame subtraction","score":0.47746896743774414},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.4571705758571625},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.453523725271225},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.43117809295654297},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.41846853494644165},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40950557589530945},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.33390673995018005},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.17488661408424377},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.06905171275138855}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.82285475730896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7198583483695984},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6916696429252625},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6650905013084412},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.575646698474884},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5388661623001099},{"id":"https://openalex.org/C35772409","wikidata":"https://www.wikidata.org/wiki/Q1323086","display_name":"Image noise","level":3,"score":0.5243561267852783},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.5077391862869263},{"id":"https://openalex.org/C1160358","wikidata":"https://www.wikidata.org/wiki/Q861103","display_name":"Dark-frame subtraction","level":5,"score":0.47746896743774414},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.4571705758571625},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.453523725271225},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.43117809295654297},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.41846853494644165},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40950557589530945},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.33390673995018005},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.17488661408424377},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.06905171275138855},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10489-022-03333-6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-022-03333-6","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1906770428","https://openalex.org/W1915360731","https://openalex.org/W1965221572","https://openalex.org/W1978749115","https://openalex.org/W1997147589","https://openalex.org/W2011181254","https://openalex.org/W2017399967","https://openalex.org/W2027898483","https://openalex.org/W2037642501","https://openalex.org/W2047710600","https://openalex.org/W2048695508","https://openalex.org/W2056370875","https://openalex.org/W2061800457","https://openalex.org/W2064076387","https://openalex.org/W2097073572","https://openalex.org/W2097713019","https://openalex.org/W2103559027","https://openalex.org/W2114770744","https://openalex.org/W2121845348","https://openalex.org/W2130184048","https://openalex.org/W2130975789","https://openalex.org/W2153663612","https://openalex.org/W2160715448","https://openalex.org/W2172275395","https://openalex.org/W2207282238","https://openalex.org/W2219841864","https://openalex.org/W2293090580","https://openalex.org/W2508457857","https://openalex.org/W2536599074","https://openalex.org/W2539781702","https://openalex.org/W2585392941","https://openalex.org/W2764207251","https://openalex.org/W2898316671","https://openalex.org/W2902857081","https://openalex.org/W2963689682","https://openalex.org/W2964125708","https://openalex.org/W2985845430","https://openalex.org/W3011104345","https://openalex.org/W3034733338","https://openalex.org/W3035051775","https://openalex.org/W3035542568","https://openalex.org/W3120281622","https://openalex.org/W3136596396","https://openalex.org/W3147357738","https://openalex.org/W3159287698","https://openalex.org/W3162080183","https://openalex.org/W3173217100","https://openalex.org/W3174829522","https://openalex.org/W3178192988","https://openalex.org/W3179130615","https://openalex.org/W3195061344","https://openalex.org/W3210622547","https://openalex.org/W4206124665","https://openalex.org/W4211130072"],"related_works":["https://openalex.org/W2080322084","https://openalex.org/W2130228941","https://openalex.org/W2132591835","https://openalex.org/W2358855845","https://openalex.org/W3190667789","https://openalex.org/W2899977025","https://openalex.org/W1951782814","https://openalex.org/W3016180986","https://openalex.org/W2084148422","https://openalex.org/W2058701299"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}