{"id":"https://openalex.org/W4416393859","doi":"https://doi.org/10.32604/cmc.2025.067041","title":"RetinexWT: Retinex-Based Low-Light Enhancement Method Combining Wavelet Transform","display_name":"RetinexWT: Retinex-Based Low-Light Enhancement Method Combining Wavelet Transform","publication_year":2025,"publication_date":"2025-11-20","ids":{"openalex":"https://openalex.org/W4416393859","doi":"https://doi.org/10.32604/cmc.2025.067041"},"language":"en","primary_location":{"id":"doi:10.32604/cmc.2025.067041","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.067041","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials & Continua","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.32604/cmc.2025.067041","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Hongji Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Hongji Chen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101806559","display_name":"Jianxun Zhang","orcid":"https://orcid.org/0000-0002-7806-0690"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianxun Zhang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010853241","display_name":"Tianze Yu","orcid":"https://orcid.org/0009-0008-4226-3163"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tianze Yu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006382241","display_name":"Yiwen Zeng","orcid":"https://orcid.org/0009-0007-5805-211X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yingzhu Zeng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5081414266","display_name":"Hongyun Zeng","orcid":"https://orcid.org/0000-0002-9022-5734"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huan Zeng","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.34514957,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"86","issue":"2","first_page":"1","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9865999817848206,"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":0.9865999817848206,"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":0.003800000064074993,"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":0.0034000000450760126,"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/color-constancy","display_name":"Color constancy","score":0.7753999829292297},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5440999865531921},{"id":"https://openalex.org/keywords/brightness","display_name":"Brightness","score":0.4627000093460083},{"id":"https://openalex.org/keywords/human-visual-system-model","display_name":"Human visual system model","score":0.415800005197525},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4059999883174896},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3806000053882599},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.36719998717308044},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.3580000102519989}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8057000041007996},{"id":"https://openalex.org/C187888035","wikidata":"https://www.wikidata.org/wiki/Q2563885","display_name":"Color constancy","level":3,"score":0.7753999829292297},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6773999929428101},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6468999981880188},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5440999865531921},{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.4627000093460083},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.415800005197525},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4059999883174896},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3806000053882599},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.36719998717308044},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.3580000102519989},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.3391000032424927},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.31839999556541443},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28850001096725464},{"id":"https://openalex.org/C89720835","wikidata":"https://www.wikidata.org/wiki/Q1531701","display_name":"Global illumination","level":3,"score":0.2784000039100647},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.2736000120639801},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.27070000767707825},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.259799987077713},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.2540000081062317},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.25290000438690186}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.32604/cmc.2025.067041","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.067041","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials & Continua","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.32604/cmc.2025.067041","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.067041","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials & Continua","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Low-light":[0],"image":[1,24,40,155,237],"enhancement":[2,97],"aims":[3],"to":[4,46,63,123,145],"improve":[5],"the":[6,17,68,87,147,158,201,224],"visibility":[7],"of":[8,20,34,149,173,220],"severely":[9],"degraded":[10],"images":[11],"captured":[12],"under":[13,72],"insufficient":[14,93],"illumination,":[15],"alleviating":[16],"adverse":[18],"effects":[19],"illumination":[21,42,125],"degradation":[22],"on":[23,200,244],"quality.":[25,156],"Traditional":[26],"Retinex-based":[27],"approaches,":[28],"inspired":[29],"by":[30],"human":[31],"visual":[32],"perception":[33],"brightness":[35,128],"and":[36,43,57,65,95,139,167,177,187],"color,":[37],"decompose":[38],"an":[39,191,213],"into":[41,165],"reflectance":[44],"components":[45],"restore":[47],"fine":[48,178],"details.":[49],"However,":[50],"their":[51],"limited":[52],"capacity":[53],"for":[54,127],"handling":[55],"noise":[56],"complex":[58],"lighting":[59],"conditions":[60],"often":[61],"leads":[62],"distortions":[64],"artifacts":[66],"in":[67,235],"enhanced":[69],"results,":[70],"particularly":[71],"extreme":[73],"low-light":[74,236],"scenarios.":[75],"Although":[76],"deep":[77,114],"learning":[78],"methods":[79],"built":[80],"upon":[81],"Retinex":[82,110,117],"theory":[83,111],"have":[84],"recently":[85],"advanced":[86],"field,":[88],"most":[89],"still":[90],"suffer":[91],"from":[92],"interpretability":[94],"sub-optimal":[96],"performance.":[98],"This":[99],"paper":[100],"presents":[101],"RetinexWT,":[102],"a":[103,181],"novel":[104],"framework":[105],"that":[106,133,205],"tightly":[107],"integrates":[108],"classical":[109],"with":[112],"modern":[113],"learning.":[115],"Following":[116],"principles,":[118],"RetinexWT":[119,206],"employs":[120],"wavelet":[121,140,160],"transforms":[122,141],"estimate":[124],"maps":[126],"adjustment.":[129],"A":[130],"detail-recovery":[131],"module":[132],"synergistically":[134],"combines":[135],"Vision":[136],"Transformer":[137],"(ViT)":[138],"is":[142,240],"then":[143],"introduced":[144],"guide":[146],"restoration":[148],"lost":[150],"details,":[151],"thereby":[152,231],"improving":[153],"overall":[154],"Within":[157],"framework,":[159],"decomposition":[161],"splits":[162],"input":[163],"features":[164],"high-frequency":[166],"low-frequency":[168],"components,":[169],"enabling":[170],"scale-specific":[171],"processing":[172],"global":[174],"illumination/color":[175],"cues":[176],"textures.":[179],"Furthermore,":[180],"gating":[182],"mechanism":[183],"selectively":[184],"fuses":[185],"down-sampled":[186],"up-sampled":[188],"features,":[189],"while":[190],"attention-based":[192],"fusion":[193],"strategy":[194],"enhances":[195],"model":[196],"interpretability.":[197],"Extensive":[198],"experiments":[199],"LOL":[202],"dataset":[203],"demonstrate":[204],"surpasses":[207],"existing":[208],"Retinex-oriented":[209],"deep-learning":[210],"methods,":[211],"achieving":[212],"average":[214],"Peak":[215],"Signal-to-Noise":[216],"Ratio":[217],"(PSNR)":[218],"improvement":[219],"0.22":[221],"dB":[222],"over":[223],"current":[225],"State":[226],"Of":[227],"The":[228],"Art":[229],"(SOTA),":[230],"confirming":[232],"its":[233],"superiority":[234],"enhancement.":[238],"Code":[239],"available":[241],"at":[242],"(accessed":[243],"14":[245],"October":[246],"2025).":[247]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-11-20T00:00:00"}