{"id":"https://openalex.org/W4414540312","doi":"https://doi.org/10.1061/jccee5.cpeng-6907","title":"Wavelet-Based Diffusion Model for Low-Light Image Enhancement under Nonuniform Illumination in Tunnel Environments","display_name":"Wavelet-Based Diffusion Model for Low-Light Image Enhancement under Nonuniform Illumination in Tunnel Environments","publication_year":2025,"publication_date":"2025-09-26","ids":{"openalex":"https://openalex.org/W4414540312","doi":"https://doi.org/10.1061/jccee5.cpeng-6907"},"language":"en","primary_location":{"id":"doi:10.1061/jccee5.cpeng-6907","is_oa":false,"landing_page_url":"https://doi.org/10.1061/jccee5.cpeng-6907","pdf_url":null,"source":{"id":"https://openalex.org/S176637136","display_name":"Journal of Computing in Civil Engineering","issn_l":"0887-3801","issn":["0887-3801","1943-5487"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315747","host_organization_name":"American Society of Civil Engineers","host_organization_lineage":["https://openalex.org/P4310315747"],"host_organization_lineage_names":["American Society of Civil Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing in Civil Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://discovery.ucl.ac.uk/10216803/1/A%20Wavelet-Based%20Diffusion%20Model%20for%20Low-Light%20Image%20Enhancement%20under%20Non-Uniform%20Illumination%20in%20Tunnel%20Environments.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100728008","display_name":"Yang Su","orcid":"https://orcid.org/0000-0002-6290-2128"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Yang Su","raw_affiliation_strings":["Univ. College London"],"raw_orcid":"https://orcid.org/0000-0002-6290-2128","affiliations":[{"raw_affiliation_string":"Univ. College London","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100384910","display_name":"Jun Wang","orcid":"https://orcid.org/0000-0003-3384-4050"},"institutions":[{"id":"https://openalex.org/I63525965","display_name":"Western Sydney University","ror":"https://ror.org/03t52dk35","country_code":"AU","type":"education","lineage":["https://openalex.org/I63525965"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jun Wang","raw_affiliation_strings":["Western Sydney Univ"],"raw_orcid":"https://orcid.org/0000-0003-3384-4050","affiliations":[{"raw_affiliation_string":"Western Sydney Univ","institution_ids":["https://openalex.org/I63525965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045267188","display_name":"Wenchi Shou","orcid":"https://orcid.org/0000-0001-8724-8807"},"institutions":[{"id":"https://openalex.org/I63525965","display_name":"Western Sydney University","ror":"https://ror.org/03t52dk35","country_code":"AU","type":"education","lineage":["https://openalex.org/I63525965"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wenchi Shou","raw_affiliation_strings":["Western Sydney Univ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Western Sydney Univ","institution_ids":["https://openalex.org/I63525965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101400120","display_name":"Yuan Yao","orcid":"https://orcid.org/0000-0002-3702-3279"},"institutions":[{"id":"https://openalex.org/I63525965","display_name":"Western Sydney University","ror":"https://ror.org/03t52dk35","country_code":"AU","type":"education","lineage":["https://openalex.org/I63525965"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yuan Yao","raw_affiliation_strings":["Western Sydney Univ"],"raw_orcid":"https://orcid.org/0000-0002-3702-3279","affiliations":[{"raw_affiliation_string":"Western Sydney Univ","institution_ids":["https://openalex.org/I63525965"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Aobo Yue","orcid":null},"institutions":[{"id":"https://openalex.org/I126924076","display_name":"Chongqing Normal University","ror":"https://ror.org/01dcw5w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I126924076"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aobo Yue","raw_affiliation_strings":["Chongqing Normal Univ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing Normal Univ","institution_ids":["https://openalex.org/I126924076"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060072928","display_name":"Shuyuan Xu","orcid":"https://orcid.org/0000-0001-6787-259X"},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuyuan Xu","raw_affiliation_strings":["Zhejiang Sci-Tech Univ"],"raw_orcid":"https://orcid.org/0000-0001-6787-259X","affiliations":[{"raw_affiliation_string":"Zhejiang Sci-Tech Univ","institution_ids":["https://openalex.org/I1328775524"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100728008"],"corresponding_institution_ids":["https://openalex.org/I45129253"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24522882,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"1","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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9988999962806702,"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":0.9976000189781189,"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/software-deployment","display_name":"Software deployment","score":0.4984000027179718},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4629000127315521},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.43230000138282776},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4251999855041504},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.42080000042915344},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4106999933719635},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3937000036239624},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.37380000948905945},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.3653999865055084}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5353999733924866},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5058000087738037},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.4984000027179718},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48429998755455017},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4629000127315521},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.43230000138282776},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4251999855041504},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.42080000042915344},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4106999933719635},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3937000036239624},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39239999651908875},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.37380000948905945},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.3653999865055084},{"id":"https://openalex.org/C3017601658","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image enhancement","level":3,"score":0.3483999967575073},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.34779998660087585},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.33959999680519104},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.32010000944137573},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.3109999895095825},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.3061000108718872},{"id":"https://openalex.org/C168820333","wikidata":"https://www.wikidata.org/wiki/Q448889","display_name":"Visual inspection","level":2,"score":0.29600000381469727},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.2854999899864197},{"id":"https://openalex.org/C100675267","wikidata":"https://www.wikidata.org/wiki/Q1371624","display_name":"Background noise","level":2,"score":0.27889999747276306},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.27810001373291016},{"id":"https://openalex.org/C2776827753","wikidata":"https://www.wikidata.org/wiki/Q2551054","display_name":"Water tunnel","level":3,"score":0.27140000462532043},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.26759999990463257},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.2655999958515167},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.2574999928474426},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.25619998574256897},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.25189998745918274}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1061/jccee5.cpeng-6907","is_oa":false,"landing_page_url":"https://doi.org/10.1061/jccee5.cpeng-6907","pdf_url":null,"source":{"id":"https://openalex.org/S176637136","display_name":"Journal of Computing in Civil Engineering","issn_l":"0887-3801","issn":["0887-3801","1943-5487"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315747","host_organization_name":"American Society of Civil Engineers","host_organization_lineage":["https://openalex.org/P4310315747"],"host_organization_lineage_names":["American Society of Civil Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing in Civil Engineering","raw_type":"journal-article"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10216803","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10216803/","pdf_url":"https://discovery.ucl.ac.uk/10216803/1/A%20Wavelet-Based%20Diffusion%20Model%20for%20Low-Light%20Image%20Enhancement%20under%20Non-Uniform%20Illumination%20in%20Tunnel%20Environments.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Computing in Civil Engineering , 40  (1)    , Article 04025118. (2026)","raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:10216803","is_oa":true,"landing_page_url":"https://discovery.ucl.ac.uk/id/eprint/10216803/","pdf_url":"https://discovery.ucl.ac.uk/10216803/1/A%20Wavelet-Based%20Diffusion%20Model%20for%20Low-Light%20Image%20Enhancement%20under%20Non-Uniform%20Illumination%20in%20Tunnel%20Environments.pdf","source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Computing in Civil Engineering , 40  (1)    , Article 04025118. (2026)","raw_type":"Article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4414540312.pdf"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W2048377713","https://openalex.org/W2052921481","https://openalex.org/W2076205488","https://openalex.org/W2147421915","https://openalex.org/W2150461190","https://openalex.org/W2254039850","https://openalex.org/W2427388489","https://openalex.org/W2605305804","https://openalex.org/W2791710889","https://openalex.org/W2799265886","https://openalex.org/W2909981858","https://openalex.org/W2925681145","https://openalex.org/W2990138404","https://openalex.org/W2998802307","https://openalex.org/W3034239311","https://openalex.org/W3034539499","https://openalex.org/W3035731588","https://openalex.org/W3040825894","https://openalex.org/W3045218018","https://openalex.org/W3087093045","https://openalex.org/W3107113662","https://openalex.org/W3120540810","https://openalex.org/W3121661546","https://openalex.org/W3125869362","https://openalex.org/W3214264009","https://openalex.org/W4283649772","https://openalex.org/W4283793781","https://openalex.org/W4296182953","https://openalex.org/W4296212353","https://openalex.org/W4312740349","https://openalex.org/W4312938066","https://openalex.org/W4319440762","https://openalex.org/W4383427900","https://openalex.org/W4387195417","https://openalex.org/W4388551650","https://openalex.org/W4389347891","https://openalex.org/W4390706293","https://openalex.org/W4390872095","https://openalex.org/W4400187922","https://openalex.org/W4400748460","https://openalex.org/W4400799775","https://openalex.org/W4402770985","https://openalex.org/W4402917055","https://openalex.org/W4403859525","https://openalex.org/W4407501778","https://openalex.org/W4408356769","https://openalex.org/W4413893930"],"related_works":[],"abstract_inverted_index":{"Cameral":[0],"surveillance":[1],"has":[2,195],"become":[3],"a":[4,70,84,113,122,136,145,151],"crucial":[5],"data":[6,31,110,116],"collection":[7],"method":[8,194],"in":[9,102,201,211],"the":[10,29,106,118,180],"operation":[11],"and":[12,57,89,112,132,167,188,209,214],"maintenance":[13],"of":[14,93,127,142,148,154,161,170],"tunnel":[15,103,115,202],"environments.":[16],"However,":[17],"because":[18],"it":[19],"relies":[20],"entirely":[21],"on":[22],"artificially":[23],"arranged":[24],"light":[25],"sources":[26],"for":[27,198],"illumination,":[28],"image":[30,100,158,165,185],"collected":[32],"are":[33],"often":[34],"affected":[35],"by":[36],"insufficient":[37],"lighting":[38],"or":[39],"localized":[40],"overexposure.":[41],"These":[42,176],"issues":[43],"significantly":[44],"hinder":[45],"downstream":[46],"recognition":[47],"tasks,":[48],"such":[49],"as":[50],"detecting":[51],"personnel":[52],"activities,":[53],"monitoring":[54,203],"system":[55],"status,":[56],"assessing":[58],"environmental":[59],"conditions":[60],"within":[61],"tunnels.":[62],"To":[63],"address":[64],"these":[65],"challenges,":[66],"this":[67],"study":[68],"proposes":[69],"low-light":[71,99],"enhancement":[72,81],"deep":[73],"learning":[74],"model":[75,78,120],"(DTLL).":[76],"The":[77,192],"integrates":[79],"diffusion-based":[80],"techniques":[82],"with":[83],"customized":[85],"detail":[86],"restoration":[87],"module":[88],"an":[90],"innovative":[91],"combination":[92],"adaptive":[94],"wavelet":[95],"decomposition":[96],"to":[97,183],"improve":[98],"quality":[101],"scenarios.":[104,217],"On":[105],"publicly":[107],"available":[108],"LoLv1":[109],"set":[111],"real-world":[114],"set,":[117],"DTLL":[119],"achieved":[121],"peak":[123],"signal-to-noise":[124],"ratio":[125],"(PSNR)":[126],"24.690,":[128],"indicating":[129],"reduced":[130],"noise":[131],"higher":[133],"reconstruction":[134],"fidelity;":[135],"structural":[137,149],"similarity":[138],"index":[139],"measure":[140],"(SSIM)":[141],"0.879,":[143],"suggesting":[144],"high":[146],"degree":[147],"preservation;":[150],"Brenner":[152],"score":[153],"0.0304,":[155],"reflecting":[156],"improved":[157],"sharpness;":[159],"entropy":[160],"5.1862,":[162],"representing":[163],"richer":[164],"information;":[166],"edge":[168,174],"intensity":[169],"0.0271,":[171],"highlighting":[172],"clearer":[173],"features.":[175],"metrics":[177],"collectively":[178],"confirm":[179],"model\u2019s":[181],"ability":[182],"enhance":[184],"clarity,":[186],"detail,":[187],"overall":[189],"visual":[190],"quality.":[191],"proposed":[193],"strong":[196],"potential":[197],"real-time":[199],"deployment":[200],"systems,":[204],"enabling":[205],"more":[206],"accurate":[207],"detection":[208],"decision-making":[210],"transportation,":[212],"construction,":[213],"emergency":[215],"response":[216]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
