{"id":"https://openalex.org/W4401325783","doi":"https://doi.org/10.1109/lsp.2024.3438075","title":"Unsupervised Low-Light Image Enhancement via Feature Smoothing and Curve Regression","display_name":"Unsupervised Low-Light Image Enhancement via Feature Smoothing and Curve Regression","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4401325783","doi":"https://doi.org/10.1109/lsp.2024.3438075"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2024.3438075","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2024.3438075","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","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/A5114310163","display_name":"Haoning Wang","orcid":"https://orcid.org/0009-0009-6109-8340"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoning Wang","raw_affiliation_strings":["Beijing Information Science and Technology University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0009-6109-8340","affiliations":[{"raw_affiliation_string":"Beijing Information Science and Technology University, Beijing, China","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101514950","display_name":"Hongbo Yang","orcid":"https://orcid.org/0000-0002-2088-5681"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbo Yang","raw_affiliation_strings":["Beijing Information Science and Technology University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2088-5681","affiliations":[{"raw_affiliation_string":"Beijing Information Science and Technology University, Beijing, China","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114310389","display_name":"Yang Zhang","orcid":"https://orcid.org/0000-0002-2561-6237"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Zhang","raw_affiliation_strings":["Beijing Information Science and Technology University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2561-6237","affiliations":[{"raw_affiliation_string":"Beijing Information Science and Technology University, Beijing, China","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108361021","display_name":"Minghao Yang","orcid":"https://orcid.org/0000-0001-5397-3576"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minghao Yang","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5397-3576","affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.329,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.52484203,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"31","issue":null,"first_page":"2475","last_page":"2479"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","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/T11019","display_name":"Image Enhancement Techniques","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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9997000098228455,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9993000030517578,"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":0.6680999398231506},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.5959643125534058},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5690988302230835},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5585445165634155},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5448325872421265},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.47991570830345154},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4480498433113098},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44413435459136963},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.430486798286438},{"id":"https://openalex.org/keywords/image-enhancement","display_name":"Image enhancement","score":0.41431325674057007},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3443198502063751},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2921697497367859}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6680999398231506},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5959643125534058},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5690988302230835},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5585445165634155},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5448325872421265},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.47991570830345154},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4480498433113098},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44413435459136963},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.430486798286438},{"id":"https://openalex.org/C3017601658","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image enhancement","level":3,"score":0.41431325674057007},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3443198502063751},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2921697497367859},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2024.3438075","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2024.3438075","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.6299999952316284}],"awards":[{"id":"https://openalex.org/G1231755040","display_name":null,"funder_award_id":"AB23026048","funder_id":"https://openalex.org/F4320336589","funder_display_name":"Guangxi Key Research and Development Program"},{"id":"https://openalex.org/G1951034100","display_name":null,"funder_award_id":"AB24010164","funder_id":"https://openalex.org/F4320336589","funder_display_name":"Guangxi Key Research and Development Program"},{"id":"https://openalex.org/G3579330669","display_name":null,"funder_award_id":"AB21220038","funder_id":"https://openalex.org/F4320336589","funder_display_name":"Guangxi Key Research and Development Program"}],"funders":[{"id":"https://openalex.org/F4320336589","display_name":"Guangxi Key Research and Development Program","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2164847484","https://openalex.org/W2807563922","https://openalex.org/W2911504749","https://openalex.org/W2981718299","https://openalex.org/W3011440129","https://openalex.org/W3034347506","https://openalex.org/W3034539499","https://openalex.org/W3035731588","https://openalex.org/W3105273993","https://openalex.org/W3121661546","https://openalex.org/W3136087866","https://openalex.org/W3174792937","https://openalex.org/W4229332571","https://openalex.org/W4308234121","https://openalex.org/W4312249431","https://openalex.org/W4313059954"],"related_works":["https://openalex.org/W1978572805","https://openalex.org/W2383807498","https://openalex.org/W1997992934","https://openalex.org/W1987225439","https://openalex.org/W4238188170","https://openalex.org/W2125114371","https://openalex.org/W2019977573","https://openalex.org/W2149980199","https://openalex.org/W3125766170","https://openalex.org/W2348393203"],"abstract_inverted_index":{"Various":[0],"methods":[1,31],"have":[2,167],"been":[3],"discussed":[4],"in":[5,55,157],"the":[6,14,33,45,56,71,83,90,99,122,127,144,152,173],"field":[7],"of":[8,35,47,101],"Low-light":[9],"Image":[10],"Enhancement":[11],"(LIE),":[12],"however":[13],"inability":[15],"to":[16,22,88,120],"effectively":[17,77],"restrain":[18],"noise":[19],"still":[20],"led":[21],"unsupervised":[23,65],"LIE":[24,30,66],"remaining":[25],"a":[26],"challenge.":[27],"Traditional":[28],"supervised":[29],"had":[32],"advantage":[34],"suppressing":[36],"noise,":[37],"but":[38],"they":[39],"suffer":[40],"from":[41],"generalization":[42],"problems":[43],"since":[44],"pairing":[46],"low-light":[48],"and":[49,76,94,97,116,125,140,161],"normal-light":[50],"images":[51,75],"are":[52],"always":[53],"required":[54],"process.":[57],"To":[58],"this":[59,61],"end,":[60],"letter":[62],"introduces":[63],"an":[64],"enhancement":[67],"method":[68,81,134,154],"that":[69,150,151],"eliminates":[70],"need":[72],"for":[73],"paired":[74],"suppresses":[78],"noise.":[79],"The":[80,147],"utilizes":[82],"Retinex":[84],"image":[85,91],"decomposition":[86],"technique":[87],"split":[89],"into":[92],"illumination":[93,123],"reflection":[95,128],"components":[96],"processes":[98],"features":[100],"each":[102],"part":[103],"separately.":[104],"In":[105],"addition,":[106],"we":[107],"designed":[108],"two":[109,136],"deep":[110],"learning":[111],"architectures,":[112],"lighting":[113],"net":[114,118],"(LINet)":[115],"denoising":[117],"(DNNet),":[119],"brighten":[121],"component":[124,129],"denoise":[126],"respectively.":[130],"We":[131],"validate":[132],"our":[133],"on":[135,172],"well-known":[137],"open":[138],"datasets":[139],"compared":[141],"it":[142],"with":[143],"state-of-the-art":[145],"approaches.":[146],"experiments":[148],"show":[149],"proposed":[153],"performs":[155],"well":[156],"dimly":[158],"lit":[159],"scenes":[160],"visual":[162],"verification,":[163],"all":[164],"quantitative":[165],"metrics":[166],"at":[168],"least":[169],"8%":[170],"improvement":[171],"best":[174],"performing":[175],"validation":[176],"set.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}