{"id":"https://openalex.org/W4415166106","doi":"https://doi.org/10.1007/s44443-025-00270-5","title":"LUXFormer: Low-light image enhancement via joint spatial-frequency illumination modeling","display_name":"LUXFormer: Low-light image enhancement via joint spatial-frequency illumination modeling","publication_year":2025,"publication_date":"2025-10-01","ids":{"openalex":"https://openalex.org/W4415166106","doi":"https://doi.org/10.1007/s44443-025-00270-5"},"language":"en","primary_location":{"id":"doi:10.1007/s44443-025-00270-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44443-025-00270-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44443-025-00270-5.pdf","source":{"id":"https://openalex.org/S2764955546","display_name":"Journal of King Saud University - Computer and Information Sciences","issn_l":"1319-1578","issn":["1319-1578","2213-1248"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of King Saud University Computer and Information Sciences","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s44443-025-00270-5.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113365559","display_name":"Yiqiang Zhou","orcid":"https://orcid.org/0009-0003-3444-4267"},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiqiang Zhou","raw_affiliation_strings":["College of Computer and Control Engineering, Northeast Forestry University, No. 26 Hexing Road, Harbin, 150000, Heilongjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Control Engineering, Northeast Forestry University, No. 26 Hexing Road, Harbin, 150000, Heilongjiang, China","institution_ids":["https://openalex.org/I47689461"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023859089","display_name":"Xindan Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xindan Gao","raw_affiliation_strings":["College of Computer and Control Engineering, Northeast Forestry University, No. 26 Hexing Road, Harbin, 150000, Heilongjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Control Engineering, Northeast Forestry University, No. 26 Hexing Road, Harbin, 150000, Heilongjiang, China","institution_ids":["https://openalex.org/I47689461"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024136480","display_name":"Jifeng Guo","orcid":"https://orcid.org/0000-0002-8520-3178"},"institutions":[{"id":"https://openalex.org/I3129996945","display_name":"Guilin University of Aerospace Technology","ror":"https://ror.org/00h1gc758","country_code":"CN","type":"education","lineage":["https://openalex.org/I3129996945"]},{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]},{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jifeng Guo","raw_affiliation_strings":["College of Computer Science and Engineering, Guilin University of Aerospace Technology, No. 2 Jinji Road, Guilin, 541000, Guangxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Guilin University of Aerospace Technology, No. 2 Jinji Road, Guilin, 541000, Guangxi, China","institution_ids":["https://openalex.org/I3129996945","https://openalex.org/I38706770","https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100406322","display_name":"Guang Li","orcid":"https://orcid.org/0000-0003-2898-2504"},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guang Li","raw_affiliation_strings":["College of Computer and Control Engineering, Northeast Forestry University, No. 26 Hexing Road, Harbin, 150000, Heilongjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Control Engineering, Northeast Forestry University, No. 26 Hexing Road, Harbin, 150000, Heilongjiang, China","institution_ids":["https://openalex.org/I47689461"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100728155","display_name":"Lu Wang","orcid":"https://orcid.org/0000-0001-8147-1581"},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Wang","raw_affiliation_strings":["College of Computer and Control Engineering, Northeast Forestry University, No. 26 Hexing Road, Harbin, 150000, Heilongjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Control Engineering, Northeast Forestry University, No. 26 Hexing Road, Harbin, 150000, Heilongjiang, China","institution_ids":["https://openalex.org/I47689461"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022306548","display_name":"Jing Liu","orcid":"https://orcid.org/0000-0002-1343-3564"},"institutions":[{"id":"https://openalex.org/I3129996945","display_name":"Guilin University of Aerospace Technology","ror":"https://ror.org/00h1gc758","country_code":"CN","type":"education","lineage":["https://openalex.org/I3129996945"]},{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]},{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Liu","raw_affiliation_strings":["College of Computer Science and Engineering, Guilin University of Aerospace Technology, No. 2 Jinji Road, Guilin, 541000, Guangxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Guilin University of Aerospace Technology, No. 2 Jinji Road, Guilin, 541000, Guangxi, China","institution_ids":["https://openalex.org/I3129996945","https://openalex.org/I38706770","https://openalex.org/I5343935"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5023859089"],"corresponding_institution_ids":["https://openalex.org/I47689461"],"apc_list":{"value":1350,"currency":"USD","value_usd":1350},"apc_paid":{"value":1350,"currency":"USD","value_usd":1350},"fwci":2.1902,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.89065311,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"37","issue":"8","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9994000196456909,"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":0.9984999895095825,"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/fuse","display_name":"Fuse (electrical)","score":0.5379999876022339},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5128999948501587},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.47679999470710754},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4530999958515167},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.44920000433921814},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4097000062465668},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.383899986743927},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.362199991941452}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7831000089645386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6855000257492065},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.5379999876022339},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5128999948501587},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.47679999470710754},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4683000147342682},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4530999958515167},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.44920000433921814},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4097000062465668},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.383899986743927},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.362199991941452},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3409999907016754},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3091000020503998},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3068999946117401},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.2976999878883362},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.288100004196167},{"id":"https://openalex.org/C187888035","wikidata":"https://www.wikidata.org/wiki/Q2563885","display_name":"Color constancy","level":3,"score":0.28529998660087585},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.28119999170303345},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.27390000224113464},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.2624000012874603},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.25929999351501465},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.2524999976158142}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s44443-025-00270-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44443-025-00270-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44443-025-00270-5.pdf","source":{"id":"https://openalex.org/S2764955546","display_name":"Journal of King Saud University - Computer and Information Sciences","issn_l":"1319-1578","issn":["1319-1578","2213-1248"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of King Saud University Computer and Information Sciences","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b9d120ec68554cbfb63dd7093dde21f3","is_oa":true,"landing_page_url":"https://doaj.org/article/b9d120ec68554cbfb63dd7093dde21f3","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of King Saud University: Computer and Information Sciences, Vol 37, Iss 8, Pp 1-22 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s44443-025-00270-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44443-025-00270-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44443-025-00270-5.pdf","source":{"id":"https://openalex.org/S2764955546","display_name":"Journal of King Saud University - Computer and Information Sciences","issn_l":"1319-1578","issn":["1319-1578","2213-1248"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of King Saud University Computer and Information Sciences","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3961592623","display_name":null,"funder_award_id":"62466012","funder_id":"https://openalex.org/F4320315254","funder_display_name":"Innovative Research Group Project of the National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320315254","display_name":"Innovative Research Group Project of the National Natural Science Foundation of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4415166106.pdf","grobid_xml":"https://content.openalex.org/works/W4415166106.grobid-xml"},"referenced_works_count":68,"referenced_works":["https://openalex.org/W1580436348","https://openalex.org/W1986086122","https://openalex.org/W1987444808","https://openalex.org/W2011260964","https://openalex.org/W2016622085","https://openalex.org/W2038713671","https://openalex.org/W2054814429","https://openalex.org/W2058333183","https://openalex.org/W2062315331","https://openalex.org/W2076205488","https://openalex.org/W2116973876","https://openalex.org/W2254039850","https://openalex.org/W2405492408","https://openalex.org/W2534171296","https://openalex.org/W2610602405","https://openalex.org/W2799265886","https://openalex.org/W2935842779","https://openalex.org/W2948354154","https://openalex.org/W2963766909","https://openalex.org/W2981718299","https://openalex.org/W3034539499","https://openalex.org/W3035229960","https://openalex.org/W3035731588","https://openalex.org/W3106758205","https://openalex.org/W3120540810","https://openalex.org/W3121661546","https://openalex.org/W3125869362","https://openalex.org/W3134765225","https://openalex.org/W3166727904","https://openalex.org/W3171125843","https://openalex.org/W3174792937","https://openalex.org/W3174908463","https://openalex.org/W3180355996","https://openalex.org/W3204374989","https://openalex.org/W4200292189","https://openalex.org/W4225672218","https://openalex.org/W4230472795","https://openalex.org/W4283837736","https://openalex.org/W4296212353","https://openalex.org/W4308238078","https://openalex.org/W4312725970","https://openalex.org/W4312746248","https://openalex.org/W4312812783","https://openalex.org/W4312845047","https://openalex.org/W4313059954","https://openalex.org/W4382240242","https://openalex.org/W4386075513","https://openalex.org/W4386075800","https://openalex.org/W4386251673","https://openalex.org/W4387967967","https://openalex.org/W4387968000","https://openalex.org/W4390872095","https://openalex.org/W4390872514","https://openalex.org/W4402705524","https://openalex.org/W4402727765","https://openalex.org/W4402816933","https://openalex.org/W4403757566","https://openalex.org/W4403791967","https://openalex.org/W4404092965","https://openalex.org/W4404654752","https://openalex.org/W4404722383","https://openalex.org/W4405056285","https://openalex.org/W4405138787","https://openalex.org/W4407849538","https://openalex.org/W4408765393","https://openalex.org/W4411111030","https://openalex.org/W4413145398","https://openalex.org/W4413893930"],"related_works":[],"abstract_inverted_index":{"Low-light":[0],"image":[1,81],"enhancement":[2,88],"aims":[3],"to":[4,97,114,136,142],"improve":[5],"the":[6,35,116,139,167,172,189,199,208],"quality":[7],"of":[8,43,120,201,217],"images":[9,39],"captured":[10],"under":[11],"low-light":[12,38,190],"conditions.":[13],"In":[14],"previous":[15],"research,":[16],"traditional":[17],"methods":[18,22,206],"and":[19,40,49,59,86,99,146,182,222],"deep":[20],"learning":[21],"based":[23],"on":[24,152,171,207],"Retinex":[25],"theory":[26],"have":[27],"achieved":[28],"commendable":[29],"outcomes.":[30],"However,":[31],"they":[32],"often":[33],"neglect":[34],"degradation":[36,82],"in":[37,56,177,180,184,188],"lack":[41],"extraction":[42],"illumination":[44,101,105],"features;":[45],"standard":[46,121],"attention":[47,113],"mechanisms":[48,123],"feed-forward":[50,134],"networks":[51],"also":[52],"suffer":[53],"from":[54],"bottlenecks":[55],"computational":[57,117],"efficiency":[58],"redundant":[60,144],"feature":[61,95],"removal.":[62],"To":[63],"address":[64,115],"these":[65],"issues,":[66],"we":[67,91,108,130],"propose":[68,109],"LU":[69],"minance-guided":[70],"Retine":[71],"X":[72],"-based":[73],"Transformer":[74],"(":[75],"LUXFormer":[76],"),":[77],"which":[78],"efficiently":[79],"removes":[80],"while":[83],"achieving":[84,103],"natural":[85],"realistic":[87],"results.":[89],"Firstly,":[90],"design":[92],"a":[93,125,132,212],"spatial-frequency":[94],"enhancer":[96],"extract":[98],"fuse":[100],"features,":[102],"high-quality":[104],"modeling.":[106],"Secondly,":[107],"an":[110],"illumination-guided":[111],"sparse":[112],"complexity":[118],"bottleneck":[119],"self-attention":[122],"through":[124],"Top-k":[126],"selection":[127],"strategy.":[128],"Finally,":[129],"introduce":[131],"refined":[133],"network":[135],"further":[137],"enhance":[138],"model\u2019s":[140],"ability":[141],"remove":[143],"information":[145],"capture":[147],"key":[148],"features.":[149],"Extensive":[150],"experiments":[151],"multiple":[153],"datasets":[154],"demonstrate":[155],"that":[156,194],"our":[157,164,195],"model":[158],"outperforms":[159],"existing":[160,205],"mainstream":[161],"methods.":[162],"Specifically,":[163],"method":[165,170,196],"surpasses":[166],"latest":[168],"state-of-the-art":[169],"LOLv1":[173],"dataset":[174,210],"by":[175],"2.20dB":[176],"PSNR,":[178],"0.008":[179],"SSIM,":[181],"0.007":[183],"LPIPS.":[185],"Furthermore,":[186],"results":[187],"object":[191],"detection":[192],"show":[193],"significantly":[197],"improves":[198],"performance":[200],"downstream":[202],"tasks,":[203],"outperforming":[204],"ExDark":[209],"with":[211],"mean":[213],"Average":[214],"Precision":[215],"(mAP)":[216],"77.26%,":[218],"demonstrating":[219],"its":[220],"superiority":[221],"competitiveness.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-15T00:00:00"}