{"id":"https://openalex.org/W4408356769","doi":"https://doi.org/10.1109/icassp49660.2025.10888098","title":"Diffusion Model with Multi-layer Wavelet Transform for Low-Light Image Enhancement","display_name":"Diffusion Model with Multi-layer Wavelet Transform for Low-Light Image Enhancement","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408356769","doi":"https://doi.org/10.1109/icassp49660.2025.10888098"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10888098","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888098","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5010131867","display_name":"Haiyan Jin","orcid":"https://orcid.org/0000-0003-3742-4029"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyan Jin","raw_affiliation_strings":["Xi’an University of Technology,China,710048"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi’an University of Technology,China,710048","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100743888","display_name":"Jing Wang","orcid":"https://orcid.org/0000-0002-7960-0396"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Wang","raw_affiliation_strings":["Xi’an University of Technology,China,710048"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi’an University of Technology,China,710048","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058857965","display_name":"Fengyuan Zuo","orcid":"https://orcid.org/0009-0004-5368-6664"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengyuan Zuo","raw_affiliation_strings":["Xi’an University of Technology,China,710048"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi’an University of Technology,China,710048","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089049162","display_name":"Haonan Su","orcid":"https://orcid.org/0000-0002-5481-1082"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haonan Su","raw_affiliation_strings":["Xi’an University of Technology,China,710048"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi’an University of Technology,China,710048","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045601614","display_name":"Zhaolin Xiao","orcid":"https://orcid.org/0000-0003-2457-5944"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaolin Xiao","raw_affiliation_strings":["Xi’an University of Technology,China,710048"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi’an University of Technology,China,710048","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066874244","display_name":"Bin Wang","orcid":"https://orcid.org/0000-0002-6311-5185"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Wang","raw_affiliation_strings":["Xi’an University of Technology,China,710048"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi’an University of Technology,China,710048","institution_ids":["https://openalex.org/I4210131919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046450643","display_name":"Yuanlin Zhang","orcid":"https://orcid.org/0000-0003-0960-3636"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanlin Zhang","raw_affiliation_strings":["Xi’an University of Technology,China,710048"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi’an University of Technology,China,710048","institution_ids":["https://openalex.org/I4210131919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210131919"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9785000085830688,"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":0.9785000085830688,"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":0.9743000268936157,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9531999826431274,"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/diffusion","display_name":"Diffusion","score":0.5760738849639893},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.532249927520752},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5156856775283813},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.47154501080513},{"id":"https://openalex.org/keywords/image-enhancement","display_name":"Image enhancement","score":0.4497143030166626},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.44122716784477234},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4152253270149231},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40532737970352173},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3924257457256317},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.2552368640899658},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12023511528968811}],"concepts":[{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.5760738849639893},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.532249927520752},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5156856775283813},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.47154501080513},{"id":"https://openalex.org/C3017601658","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image enhancement","level":3,"score":0.4497143030166626},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.44122716784477234},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4152253270149231},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40532737970352173},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3924257457256317},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.2552368640899658},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12023511528968811},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10888098","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888098","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1580436348","https://openalex.org/W1987444808","https://openalex.org/W2011592399","https://openalex.org/W2054814429","https://openalex.org/W2132984323","https://openalex.org/W2164847484","https://openalex.org/W2468596194","https://openalex.org/W2566376500","https://openalex.org/W2783573276","https://openalex.org/W2981718299","https://openalex.org/W2998131124","https://openalex.org/W3034347506","https://openalex.org/W3035473117","https://openalex.org/W3035731588","https://openalex.org/W3100618669","https://openalex.org/W3121661546","https://openalex.org/W3174792937","https://openalex.org/W3191805365","https://openalex.org/W4312249431","https://openalex.org/W4312497550","https://openalex.org/W4312725970","https://openalex.org/W4382240242","https://openalex.org/W4382465644","https://openalex.org/W4386066464","https://openalex.org/W4386076200","https://openalex.org/W4386083151","https://openalex.org/W4389347891","https://openalex.org/W4390871817","https://openalex.org/W4390872514","https://openalex.org/W4402727765","https://openalex.org/W4402753495","https://openalex.org/W6754146604","https://openalex.org/W6767544113","https://openalex.org/W6779823529","https://openalex.org/W6783182287","https://openalex.org/W6795288823"],"related_works":["https://openalex.org/W2382174632","https://openalex.org/W2129959498","https://openalex.org/W2784060934","https://openalex.org/W2902714807","https://openalex.org/W2537489131","https://openalex.org/W2046633342","https://openalex.org/W2394084632","https://openalex.org/W2358293514","https://openalex.org/W2059273319","https://openalex.org/W2077021924"],"abstract_inverted_index":{"Low-light":[0],"image":[1,12],"enhancement":[2],"methods":[3],"based":[4,52,69],"on":[5,16,53,70,129],"diffusion":[6,40],"models,":[7],"though":[8],"effective":[9],"in":[10],"improving":[11],"quality,":[13],"often":[14],"overrely":[15],"noise":[17],"sensitivity":[18],"and":[19,29,86,106,115,119],"neglect":[20],"the":[21,26,71,80,88,93],"reconstruction":[22],"deviations":[23],"due":[24],"to":[25,48,102],"naive":[27],"up-":[28],"down-sampling":[30,51,82],"operations.":[31],"To":[32],"address":[33],"this":[34],"issue,":[35],"we":[36,97],"propose":[37],"a":[38],"novel":[39],"model,":[41],"MWT-Diff,":[42],"which":[43],"utilizes":[44],"multi-layer":[45],"wavelet":[46],"transforms":[47],"replace":[49],"up-and":[50],"convolutions":[54],"for":[55,112],"extracting":[56],"high-order":[57],"features":[58,78],"of":[59],"different":[60],"scales":[61],"while":[62],"mitigating":[63],"representation":[64],"degradations.":[65],"Specifically,":[66],"MWT-Diff":[67],"is":[68,133],"U-Net":[72],"architecture;":[73],"it":[74],"encodes":[75],"four":[76,90],"local":[77],"after":[79],"frequency-based":[81],"at":[83],"each":[84],"layer":[85],"fuses":[87],"enhanced":[89],"components":[91],"during":[92],"up-sampling":[94],"process.":[95],"Additionally,":[96],"incorporate":[98],"global":[99],"refinement":[100],"branches":[101],"mitigate":[103],"information":[104],"loss":[105],"employ":[107],"efficient":[108],"soft":[109],"gate":[110],"aggregation":[111],"feature":[113],"fusion":[114],"reconstruction.":[116],"Extensive":[117],"quantitative":[118],"qualitative":[120],"experiments":[121],"demonstrate":[122],"that":[123],"our":[124],"model":[125],"achieves":[126],"state-of-the-art":[127],"performance":[128],"benchmark":[130],"datasets.":[131],"Code":[132],"available":[134],"at:":[135],"https://github.com/lalalulao/MWT-Diff.":[136]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}