{"id":"https://openalex.org/W4400314509","doi":"https://doi.org/10.1109/tip.2024.3420797","title":"Enhancing Low-Light Light Field Images With a Deep Compensation Unfolding Network","display_name":"Enhancing Low-Light Light Field Images With a Deep Compensation Unfolding Network","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4400314509","doi":"https://doi.org/10.1109/tip.2024.3420797","pmid":"https://pubmed.ncbi.nlm.nih.gov/38963734"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2024.3420797","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3420797","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/A5005147528","display_name":"Xianqiang Lyu","orcid":"https://orcid.org/0000-0003-1138-0486"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Xianqiang Lyu","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong, SAR"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong, SAR","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031957432","display_name":"Junhui Hou","orcid":"https://orcid.org/0000-0003-3431-2021"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Junhui Hou","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong, SAR"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong, SAR","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5005147528"],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":5.4201,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.96755892,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"33","issue":null,"first_page":"4131","last_page":"4144"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11569","display_name":"Optical Coherence Tomography Applications","score":0.977400004863739,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11569","display_name":"Optical Coherence Tomography Applications","score":0.977400004863739,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9750000238418579,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9722999930381775,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/light-field","display_name":"Light field","score":0.6743295192718506},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6103103756904602},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5701616406440735},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5433396697044373},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.432148814201355},{"id":"https://openalex.org/keywords/compensation","display_name":"Compensation (psychology)","score":0.42634981870651245},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4104892611503601},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.39646974205970764},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.339204877614975},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.19054996967315674},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18766635656356812},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18127170205116272}],"concepts":[{"id":"https://openalex.org/C48983235","wikidata":"https://www.wikidata.org/wiki/Q593161","display_name":"Light field","level":2,"score":0.6743295192718506},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6103103756904602},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5701616406440735},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5433396697044373},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.432148814201355},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.42634981870651245},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4104892611503601},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.39646974205970764},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.339204877614975},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.19054996967315674},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18766635656356812},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18127170205116272},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2024.3420797","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3420797","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:38963734","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38963734","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":[],"awards":[{"id":"https://openalex.org/G5892297415","display_name":null,"funder_award_id":"MHP/117/21","funder_id":"https://openalex.org/F4320324196","funder_display_name":"Innovation and Technology Commission - Hong Kong"}],"funders":[{"id":"https://openalex.org/F4320324196","display_name":"Innovation and Technology Commission - Hong Kong","ror":"https://ror.org/04vf9tr09"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2379084545","https://openalex.org/W2365687337","https://openalex.org/W2358180351","https://openalex.org/W2392368077","https://openalex.org/W2984298793","https://openalex.org/W2365082216","https://openalex.org/W2271432825","https://openalex.org/W2370525840","https://openalex.org/W4313428622","https://openalex.org/W4311557652"],"abstract_inverted_index":{"This":[0],"paper":[1,107],"presents":[2],"a":[3,31,46,71,78,109],"novel":[4],"and":[5,90,98,128,142],"interpretable":[6],"end-to-end":[7],"learning":[8],"framework,":[9],"called":[10],"the":[11,36,52,58,66,100,132,147],"deep":[12,80],"compensation":[13,81],"unfolding":[14,67],"network":[15],"(DCUNet),":[16],"for":[17],"restoring":[18],"light":[19],"field":[20],"(LF)":[21],"images":[22,154],"captured":[23],"under":[24],"low-light":[25],"conditions.":[26],"DCUNet":[27,76,136,145],"is":[28,62,159],"designed":[29],"with":[30],"multi-stage":[32],"architecture":[33],"that":[34,114],"mimics":[35],"optimization":[37,85],"process":[38,68],"of":[39,103,134,151],"solving":[40],"an":[41],"inverse":[42],"imaging":[43],"problem":[44],"in":[45,65,119],"data-driven":[47],"fashion.":[48],"The":[49,122,157],"framework":[50],"uses":[51],"intermediate":[53],"enhanced":[54,73,152],"result":[55],"to":[56,69,87],"estimate":[57],"illumination":[59,91],"map,":[60],"which":[61],"then":[63],"employed":[64],"produce":[70],"new":[72],"result.":[74],"Additionally,":[75],"includes":[77],"content-associated":[79],"module":[82,113],"at":[83,162],"each":[84],"stage":[86],"suppress":[88],"noise":[89],"map":[92],"estimation":[93],"errors.":[94],"To":[95],"properly":[96],"mine":[97],"leverage":[99],"unique":[101],"characteristics":[102],"LF":[104,120,153],"images,":[105],"this":[106],"proposes":[108],"pseudo-explicit":[110],"feature":[111],"interaction":[112],"comprehensively":[115],"exploits":[116],"redundant":[117],"information":[118],"images.":[121],"experimental":[123],"results":[124],"on":[125],"both":[126,140],"simulated":[127],"real":[129],"datasets":[130],"demonstrate":[131],"superiority":[133],"our":[135],"over":[137],"state-of-the-art":[138],"methods,":[139],"qualitatively":[141],"quantitatively.":[143],"Moreover,":[144],"preserves":[146],"essential":[148],"geometric":[149],"structure":[150],"much":[155],"better.":[156],"code":[158],"publicly":[160],"available":[161],"https://github.com/lyuxianqiang/LFLL-DCU.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":3}],"updated_date":"2026-04-12T07:58:50.170612","created_date":"2025-10-10T00:00:00"}
