{"id":"https://openalex.org/W3015044426","doi":"https://doi.org/10.1109/tip.2020.2984098","title":"LR3M: Robust Low-Light Enhancement via Low-Rank Regularized Retinex Model","display_name":"LR3M: Robust Low-Light Enhancement via Low-Rank Regularized Retinex Model","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3015044426","doi":"https://doi.org/10.1109/tip.2020.2984098","mag":"3015044426","pmid":"https://pubmed.ncbi.nlm.nih.gov/32286975"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2020.2984098","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.2984098","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5037730998","display_name":"Xutong Ren","orcid":"https://orcid.org/0000-0003-2506-8872"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xutong Ren","raw_affiliation_strings":["Wangxuan Institute of Computer Technology, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2506-8872","affiliations":[{"raw_affiliation_string":"Wangxuan Institute of Computer Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070884682","display_name":"Wenhan Yang","orcid":"https://orcid.org/0000-0002-1692-0069"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhan Yang","raw_affiliation_strings":["Wangxuan Institute of Computer Technology, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1692-0069","affiliations":[{"raw_affiliation_string":"Wangxuan Institute of Computer Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101402074","display_name":"Wen-Huang Cheng","orcid":"https://orcid.org/0000-0003-4124-547X"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wen-Huang Cheng","raw_affiliation_strings":["Institute of Electronics, National Chiao Tung University, Hsinchu, Taiwan"],"raw_orcid":"https://orcid.org/0000-0003-4124-547X","affiliations":[{"raw_affiliation_string":"Institute of Electronics, National Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100761525","display_name":"Jiaying Liu","orcid":"https://orcid.org/0000-0002-0468-9576"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaying Liu","raw_affiliation_strings":["Wangxuan Institute of Computer Technology, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0468-9576","affiliations":[{"raw_affiliation_string":"Wangxuan Institute of Computer Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":20.2378,"has_fulltext":false,"cited_by_count":393,"citation_normalized_percentile":{"value":0.99742132,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"29","issue":null,"first_page":"5862","last_page":"5876"},"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":0.9994999766349792,"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/T10688","display_name":"Image and Signal Denoising Methods","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/color-constancy","display_name":"Color constancy","score":0.8345775604248047},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7312625050544739},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6976081132888794},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6735316514968872},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.6334478855133057},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5888597965240479},{"id":"https://openalex.org/keywords/global-illumination","display_name":"Global illumination","score":0.426530122756958},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2716268301010132}],"concepts":[{"id":"https://openalex.org/C187888035","wikidata":"https://www.wikidata.org/wiki/Q2563885","display_name":"Color constancy","level":3,"score":0.8345775604248047},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7312625050544739},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6976081132888794},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6735316514968872},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6334478855133057},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5888597965240479},{"id":"https://openalex.org/C89720835","wikidata":"https://www.wikidata.org/wiki/Q1531701","display_name":"Global illumination","level":3,"score":0.426530122756958},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2716268301010132},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2020.2984098","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2020.2984098","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:32286975","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32286975","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.41999998688697815}],"awards":[{"id":"https://openalex.org/G1400328712","display_name":null,"funder_award_id":"2018AAA0102700","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3260917273","display_name":"\u6076\u52a3\u6761\u4ef6\u4e0b\u89c6\u9891\u8054\u5408\u589e\u5f3a\u4e0e\u7406\u89e3\u7814\u7a76","funder_award_id":"61772043","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4216737490","display_name":null,"funder_award_id":"L182002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W198034206","https://openalex.org/W1562683879","https://openalex.org/W1640745651","https://openalex.org/W1846534543","https://openalex.org/W1969698720","https://openalex.org/W1972612668","https://openalex.org/W1978461177","https://openalex.org/W1990675808","https://openalex.org/W1991825408","https://openalex.org/W2004346156","https://openalex.org/W2011592399","https://openalex.org/W2014311222","https://openalex.org/W2054814429","https://openalex.org/W2056370875","https://openalex.org/W2074015156","https://openalex.org/W2096872834","https://openalex.org/W2101778210","https://openalex.org/W2103972604","https://openalex.org/W2116973876","https://openalex.org/W2121900453","https://openalex.org/W2125188192","https://openalex.org/W2131628350","https://openalex.org/W2141957843","https://openalex.org/W2146439264","https://openalex.org/W2150721269","https://openalex.org/W2154549868","https://openalex.org/W2254039850","https://openalex.org/W2285151583","https://openalex.org/W2296548841","https://openalex.org/W2419659284","https://openalex.org/W2430408220","https://openalex.org/W2468596194","https://openalex.org/W2508457857","https://openalex.org/W2566376500","https://openalex.org/W2607815771","https://openalex.org/W2611328865","https://openalex.org/W2764207251","https://openalex.org/W2767030724","https://openalex.org/W2767618624","https://openalex.org/W2789865469","https://openalex.org/W2791710889","https://openalex.org/W2799265886","https://openalex.org/W2887817889","https://openalex.org/W2890756110","https://openalex.org/W2895931095","https://openalex.org/W2949187370","https://openalex.org/W2963228457","https://openalex.org/W2964203072","https://openalex.org/W2995368614","https://openalex.org/W3034347506","https://openalex.org/W3100557831","https://openalex.org/W3101457173","https://openalex.org/W3104725225","https://openalex.org/W6608094899","https://openalex.org/W6648301084","https://openalex.org/W6679973066","https://openalex.org/W6745297574","https://openalex.org/W6746171365","https://openalex.org/W6754146604","https://openalex.org/W6778998712"],"related_works":["https://openalex.org/W4237735386","https://openalex.org/W2982638676","https://openalex.org/W2622554317","https://openalex.org/W2006198159","https://openalex.org/W1603973577","https://openalex.org/W2114667878","https://openalex.org/W2159871081","https://openalex.org/W4238032015","https://openalex.org/W3034789145","https://openalex.org/W4367628250"],"abstract_inverted_index":{"Noise":[0],"causes":[1],"unpleasant":[2],"visual":[3],"effects":[4],"in":[5,24,37,86,105,115,190],"low-light":[6,44,51,143],"image/video":[7],"enhancement.":[8,144],"In":[9],"this":[10],"paper,":[11],"we":[12,40,126,137],"aim":[13],"to":[14,74,83,141,162,167],"make":[15,168],"the":[16,25,63,72,87,106,121,128,164,196],"enhancement":[17,45,134],"model":[18],"and":[19,53,97,108,124,131,152,183,185,192],"method":[20,59,91,174],"aware":[21],"of":[22,149,159,170,181],"noise":[23,32,56,85,104],"whole":[26],"process.":[27],"To":[28],"deal":[29],"with":[30,195],"heavy":[31],"which":[33,70,111],"is":[34,60,71],"not":[35],"handled":[36],"previous":[38],"methods,":[39],"introduce":[41],"a":[42,79,93,98,178],"robust":[43],"approach,":[46],"aiming":[47],"at":[48],"well":[49,176],"enhancing":[50,191],"images/videos":[52],"suppressing":[54],"intensive":[55],"jointly.":[57],"Our":[58,90,173],"based":[61],"on":[62],"proposed":[64],"Low-Rank":[65],"Regularized":[66],"Retinex":[67,80],"Model":[68],"(LR3M),":[69],"first":[73],"inject":[75],"low-rank":[76,165],"prior":[77,166],"into":[78],"decomposition":[81,117],"process":[82],"suppress":[84],"reflectance":[88,100,109,157],"map.":[89],"estimates":[92],"piece-wise":[94],"smoothed":[95],"illumination":[96,107,123,129,150],"noise-suppressed":[99],"sequentially,":[101],"avoiding":[102],"remaining":[103],"maps":[110,151,158],"are":[112],"usually":[113],"presented":[114],"alternative":[116],"methods.":[118,198],"After":[119],"getting":[120],"estimated":[122],"reflectance,":[125],"adjust":[127],"layer":[130],"generate":[132],"our":[133,139],"result.":[135],"Furthermore,":[136],"apply":[138],"LR3M":[140],"video":[142],"We":[145],"consider":[146],"inter-frame":[147],"coherence":[148],"find":[153],"similar":[154],"patches":[155],"through":[156],"successive":[160],"frames":[161],"form":[163],"use":[169],"temporal":[171],"correspondence.":[172],"performs":[175],"for":[177],"wide":[179],"variety":[180],"images":[182],"videos,":[184],"achieves":[186],"better":[187],"quality":[188],"both":[189],"denoising,":[193],"compared":[194],"state-of-the-art":[197]},"counts_by_year":[{"year":2026,"cited_by_count":16},{"year":2025,"cited_by_count":82},{"year":2024,"cited_by_count":85},{"year":2023,"cited_by_count":91},{"year":2022,"cited_by_count":76},{"year":2021,"cited_by_count":33},{"year":2020,"cited_by_count":10}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}