{"id":"https://openalex.org/W7092491561","doi":"https://doi.org/10.1109/tmm.2025.3623502","title":"Mamba-Based Progressive-Recovery Framework for Multimodal Low Light Image Enhancement","display_name":"Mamba-Based Progressive-Recovery Framework for Multimodal Low Light Image Enhancement","publication_year":2025,"publication_date":"2025-10-20","ids":{"openalex":"https://openalex.org/W7092491561","doi":"https://doi.org/10.1109/tmm.2025.3623502"},"language":null,"primary_location":{"id":"doi:10.1109/tmm.2025.3623502","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2025.3623502","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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":null,"display_name":"Mohammad Mahdizadeh","orcid":"https://orcid.org/0000-0003-4020-4086"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mohammad Mahdizadeh","raw_affiliation_strings":["School of Information Science and Technology, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jianjian Cao","orcid":"https://orcid.org/0000-0002-1473-3956"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianjian Cao","raw_affiliation_strings":["School of Information Science and Technology, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Peng Ye","orcid":"https://orcid.org/0000-0002-6272-2792"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Ye","raw_affiliation_strings":["School of Information Science and Technology, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":null,"display_name":"Tao Chen","orcid":"https://orcid.org/0000-0002-0779-9818"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Chen","raw_affiliation_strings":["School of Information Science and Technology, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.55453207,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"28","issue":null,"first_page":"400","last_page":"414"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.953499972820282,"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":0.953499972820282,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.023000000044703484,"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"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.0071000000461936,"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/rgb-color-model","display_name":"RGB color model","score":0.7202000021934509},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5077000260353088},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.4368000030517578},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.43230000138282776},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.39739999175071716},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3677999973297119},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3571000099182129},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.35569998621940613},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.35249999165534973}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7493000030517578},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.7202000021934509},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6611999869346619},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5077000260353088},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.4368000030517578},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.43230000138282776},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.39739999175071716},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3677999973297119},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3571000099182129},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.35569998621940613},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.35249999165534973},{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.34610000252723694},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.3425000011920929},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.3111000061035156},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.305400013923645},{"id":"https://openalex.org/C3017601658","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image enhancement","level":3,"score":0.3021000027656555},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.30160000920295715},{"id":"https://openalex.org/C182037307","wikidata":"https://www.wikidata.org/wiki/Q17039097","display_name":"Image gradient","level":5,"score":0.3005000054836273},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.28690001368522644},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.27730000019073486},{"id":"https://openalex.org/C3020368824","wikidata":"https://www.wikidata.org/wiki/Q6546192","display_name":"Light intensity","level":2,"score":0.2759000062942505},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2728999853134155},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25839999318122864},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.25369998812675476}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2025.3623502","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2025.3623502","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.8198763728141785,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1982471090","https://openalex.org/W1997596006","https://openalex.org/W2009758395","https://openalex.org/W2102166818","https://openalex.org/W2133665775","https://openalex.org/W2153777140","https://openalex.org/W2164847484","https://openalex.org/W2764975447","https://openalex.org/W2798987894","https://openalex.org/W2948354154","https://openalex.org/W2963368219","https://openalex.org/W2963787388","https://openalex.org/W3046194589","https://openalex.org/W3097065222","https://openalex.org/W3213472242","https://openalex.org/W4220893768","https://openalex.org/W4224278757","https://openalex.org/W4226185636","https://openalex.org/W4285188421","https://openalex.org/W4285240117","https://openalex.org/W4308310215","https://openalex.org/W4310760725","https://openalex.org/W4312249431","https://openalex.org/W4312725970","https://openalex.org/W4312912750","https://openalex.org/W4313555022","https://openalex.org/W4366817499","https://openalex.org/W4377224336","https://openalex.org/W4379741379","https://openalex.org/W4379983357","https://openalex.org/W4382365354","https://openalex.org/W4382999063","https://openalex.org/W4383503557","https://openalex.org/W4385756499","https://openalex.org/W4386598329","https://openalex.org/W4390872095","https://openalex.org/W4390872514","https://openalex.org/W4390874575","https://openalex.org/W4392693690","https://openalex.org/W4394896820","https://openalex.org/W4395450967","https://openalex.org/W4401414126","https://openalex.org/W4402754029","https://openalex.org/W4402917055","https://openalex.org/W4404214611","https://openalex.org/W4411050665","https://openalex.org/W4411111030"],"related_works":[],"abstract_inverted_index":{"Low-light":[0],"image":[1,7,24,101],"enhancement":[2,173,239],"is":[3],"essential":[4],"for":[5,97],"improving":[6],"visibility":[8],"and":[9,49,68,123,128,155,182,193,203,215,232,249,262],"quality":[10],"in":[11,82,242,254],"real-world":[12],"nighttime":[13],"scenarios.":[14],"Most":[15],"existing":[16],"methods":[17],"that":[18],"rely":[19],"on":[20,200,245],"a":[21,92,130,157],"single":[22,214],"RGB":[23,48,66,122],"often":[25],"fail":[26],"to":[27,42,52,60,69,78,133,160,188],"enhance":[28,53],"the":[29,83,108,135,139,150,162,170,177,191,195,201,246,251,255],"darkest":[30,84],"regions,":[31],"significantly":[32],"limiting":[33],"their":[34],"practical":[35],"applicability.":[36],"Recently,":[37],"several":[38],"approaches":[39],"have":[40],"attempted":[41],"leverage":[43],"multimodal":[44,98,171,178,216],"information,":[45],"such":[46],"as":[47,126,153],"infrared":[50,124],"images,":[51],"overall":[54,136],"performance.":[55],"However,":[56],"they":[57],"still":[58],"struggle":[59],"achieve":[61],"optimal":[62],"exposure":[63],"with":[64,164],"vibrant":[65],"colors":[67],"efficiently":[70],"integrate":[71],"features":[72],"across":[73,221],"modalities,":[74],"making":[75],"it":[76,235],"challenging":[77],"merge":[79],"complementary":[80],"information":[81],"regions.":[85],"To":[86],"tackle":[87],"this":[88],"challenge,":[89],"we":[90,106,175],"propose":[91],"novel":[93],"mamba-based":[94],"progressive-recovery":[95],"framework":[96,109],"low":[99,120,140],"light":[100,121,141],"enhancement.":[102],"For":[103],"better":[104],"understanding,":[105],"divide":[107],"into":[110],"three":[111],"stages:":[112],"1)":[113],"The":[114,144,259],"initial":[115,151],"illumination":[116,145],"estimation":[117],"stage":[118,148],"takes":[119,149],"images":[125],"inputs,":[127,154],"utilizes":[129],"lightweight":[131],"network":[132,181,187],"estimate":[134],"brightness":[137],"of":[138,240],"images.":[142],"2)":[143],"corruption":[146,163],"restoration":[147],"results":[152],"employs":[156],"Mamba-Unet":[158],"architecture":[159],"restore":[161],"multi-level":[165],"detailed":[166],"information.":[167],"3)":[168],"In":[169],"fusion":[172,186],"stage,":[174],"develop":[176],"CNN-Mamba":[179],"encoder-decoder":[180],"global-local":[183],"cross-modal":[184],"feature":[185],"further":[189],"enrich":[190],"details":[192,264],"improve":[194],"results.":[196],"Through":[197],"extensive":[198],"experiments":[199],"LLVIP":[202],"MSRS":[204],"datasets,":[205],"our":[206],"approach":[207],"demonstrates":[208],"significant":[209],"superiority":[210],"over":[211],"ten":[212],"state-of-the-art":[213],"methods.":[217],"Our":[218],"method":[219],"excels":[220],"various":[222],"key":[223],"metrics,":[224],"including":[225],"Edge":[226],"Intensity,":[227],"Entropy,":[228],"Average":[229],"Gradient,":[230],"NIQE,":[231],"BRISQUE.":[233],"Notably,":[234],"achieves":[236],"an":[237],"average":[238],"1.94%":[241],"edge":[243],"intensity":[244],"both":[247],"datasets":[248],"secures":[250],"second":[252],"position":[253],"Spatial":[256],"Frequency":[257],"metric.":[258],"source":[260],"codes":[261],"implementation":[263],"are":[265],"publicly":[266],"available":[267],"at:":[268],"<uri":[269],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[270],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/PaulMahdizadeh123/MMI</uri>.":[271]},"counts_by_year":[],"updated_date":"2026-01-10T23:39:48.068659","created_date":"2025-10-21T00:00:00"}
