{"id":"https://openalex.org/W4416750956","doi":"https://doi.org/10.1109/iros60139.2025.11246782","title":"Complete Corruption-Aware Retinex Framework for Low-Light Image Enhancement","display_name":"Complete Corruption-Aware Retinex Framework for Low-Light Image Enhancement","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W4416750956","doi":"https://doi.org/10.1109/iros60139.2025.11246782"},"language":null,"primary_location":{"id":"doi:10.1109/iros60139.2025.11246782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros60139.2025.11246782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-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/A5100386935","display_name":"Yifei Zhang","orcid":"https://orcid.org/0000-0002-4928-2921"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yifei Zhang","raw_affiliation_strings":["Waseda University,Graduate School of Information, Production and Systems,Japan"],"affiliations":[{"raw_affiliation_string":"Waseda University,Graduate School of Information, Production and Systems,Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103268472","display_name":"Honglin Sun","orcid":"https://orcid.org/0009-0009-5554-3903"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Honglin Sun","raw_affiliation_strings":["Waseda University,Graduate School of Information, Production and Systems,Japan"],"affiliations":[{"raw_affiliation_string":"Waseda University,Graduate School of Information, Production and Systems,Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103189091","display_name":"Yuyang Gao","orcid":"https://orcid.org/0000-0002-8045-2001"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuyang Gao","raw_affiliation_strings":["Waseda University,Graduate School of Information, Production and Systems,Japan"],"affiliations":[{"raw_affiliation_string":"Waseda University,Graduate School of Information, Production and Systems,Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089905627","display_name":"Jianan Xie","orcid":"https://orcid.org/0009-0004-7179-4757"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jianan Xie","raw_affiliation_strings":["Waseda University,Graduate School of Information, Production and Systems,Japan"],"affiliations":[{"raw_affiliation_string":"Waseda University,Graduate School of Information, Production and Systems,Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007690546","display_name":"Kenji Hashimoto","orcid":"https://orcid.org/0000-0003-2300-6766"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kenji Hashimoto","raw_affiliation_strings":["Waseda University,Graduate School of Information, Production and Systems,Japan"],"affiliations":[{"raw_affiliation_string":"Waseda University,Graduate School of Information, Production and Systems,Japan","institution_ids":["https://openalex.org/I150744194"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100386935"],"corresponding_institution_ids":["https://openalex.org/I150744194"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.37171063,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"15360","last_page":"15366"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9898999929428101,"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":0.9898999929428101,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.0015999999595806003,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.0010999999940395355,"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":0.9434000253677368},{"id":"https://openalex.org/keywords/image-enhancement","display_name":"Image enhancement","score":0.5494999885559082},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4390999972820282},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.39989998936653137},{"id":"https://openalex.org/keywords/illuminance","display_name":"Illuminance","score":0.38370001316070557},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.35670000314712524},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.336899995803833},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.33320000767707825}],"concepts":[{"id":"https://openalex.org/C187888035","wikidata":"https://www.wikidata.org/wiki/Q2563885","display_name":"Color constancy","level":3,"score":0.9434000253677368},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6983000040054321},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6980999708175659},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6413000226020813},{"id":"https://openalex.org/C3017601658","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image enhancement","level":3,"score":0.5494999885559082},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4390999972820282},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.39989998936653137},{"id":"https://openalex.org/C36365805","wikidata":"https://www.wikidata.org/wiki/Q194411","display_name":"Illuminance","level":2,"score":0.38370001316070557},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.35670000314712524},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.336899995803833},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.33320000767707825},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.3310000002384186},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3158000111579895},{"id":"https://openalex.org/C2987933465","wikidata":"https://www.wikidata.org/wiki/Q141130","display_name":"Image manipulation","level":3,"score":0.3158000111579895},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.2978000044822693},{"id":"https://openalex.org/C56683213","wikidata":"https://www.wikidata.org/wiki/Q4143008","display_name":"Homomorphic filtering","level":4,"score":0.28760001063346863},{"id":"https://openalex.org/C17916492","wikidata":"https://www.wikidata.org/wiki/Q1144257","display_name":"Gamma correction","level":3,"score":0.28139999508857727},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.27959999442100525},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.2727000117301941},{"id":"https://openalex.org/C125045340","wikidata":"https://www.wikidata.org/wiki/Q6002224","display_name":"Image formation","level":3,"score":0.25949999690055847},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.25290000438690186}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros60139.2025.11246782","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros60139.2025.11246782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322638","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2011260964","https://openalex.org/W2016622085","https://openalex.org/W2038713671","https://openalex.org/W2058333183","https://openalex.org/W2062315331","https://openalex.org/W2102919172","https://openalex.org/W2116973876","https://openalex.org/W2133665775","https://openalex.org/W2534171296","https://openalex.org/W2566376500","https://openalex.org/W2791710889","https://openalex.org/W2962785568","https://openalex.org/W2981718299","https://openalex.org/W2986422266","https://openalex.org/W3011440129","https://openalex.org/W3121661546","https://openalex.org/W3125869362","https://openalex.org/W3174792937","https://openalex.org/W3214264009","https://openalex.org/W4225672218","https://openalex.org/W4312249431","https://openalex.org/W4312725970","https://openalex.org/W4313059954","https://openalex.org/W4386066362","https://openalex.org/W4386076200","https://openalex.org/W4390872514"],"related_works":[],"abstract_inverted_index":{"Retinex":[0,28,74],"theory,":[1],"which":[2,77,138],"treats":[3],"an":[4],"image":[5,19],"as":[6,85],"a":[7,70,110,132],"composition":[8],"of":[9,60],"illuminance":[10],"and":[11,36,42,125],"reflectance,":[12],"has":[13],"made":[14],"significant":[15,172],"progress":[16],"in":[17,33,82,171],"low-light":[18,83,151],"enhancement.":[20],"Previous":[21],"methods":[22,162],"attempt":[23],"to":[24,38,119],"refine":[25],"the":[26,47,100,117],"impractical":[27],"theory":[29],"by":[30,99,105],"introducing":[31],"deviations":[32],"estimated":[34],"illumination":[35],"reflectance":[37],"develop":[39],"more":[40,92],"practical":[41],"robust":[43,121],"enhancement":[44,101],"techniques.":[45],"However,":[46],"fact":[48],"that":[49,57,115,160],"state-of-the-art":[50,168],"approaches":[51],"still":[52],"produce":[53],"inferior":[54],"results":[55],"suggests":[56],"some":[58],"form":[59],"corruption":[61,81,97],"may":[62],"be":[63,120,164,180],"over-looked.":[64],"In":[65],"this":[66,106],"paper,":[67],"we":[68,108,130],"propose":[69,109,131],"novel":[71],"Complete":[72],"Corruption-Aware":[73,112],"Framework":[75],"(CCRF),":[76],"not":[78],"only":[79],"considers":[80],"imaging\u2014such":[84],"high":[86],"ISO":[87],"or":[88],"long":[89],"exposure":[90],"settings\u2014but,":[91],"importantly,":[93],"also":[94],"accounts":[95],"for":[96],"induced":[98],"method":[102],"itself.":[103],"Guided":[104],"framework,":[107],"Robust":[111],"Loss":[113],"(RCL)":[114],"enables":[116],"model":[118],"under":[122],"extreme":[123],"darkness":[124],"complex":[126],"light-object":[127],"interactions.":[128],"Additionally,":[129],"Light-Up":[133],"Map":[134],"Denoising":[135],"(LMD)":[136],"module,":[137],"further":[139],"eliminates":[140],"model-induced":[141],"perturbations.":[142],"With":[143],"these":[144,176],"two":[145],"plug-and-play":[146],"modules,":[147],"downstream":[148],"tasks":[149],"(e.g.,":[150],"object":[152],"detection)":[153],"can":[154,163],"benefit":[155],"significantly.":[156],"Extensive":[157],"experiments":[158],"demonstrate":[159],"our":[161],"seamlessly":[165],"integrated":[166],"into":[167],"approaches,":[169],"resulting":[170],"performance":[173],"improvements":[174],"over":[175],"methods.":[177],"Code":[178],"will":[179],"available":[181],"at":[182],"github.com/eafi/ccrf.":[183]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-11-28T00:00:00"}