{"id":"https://openalex.org/W7117464771","doi":"https://doi.org/10.1007/s44163-025-00663-5","title":"A new multi-scale adaptive enhancement algorithm for low-illumination coal mine images based on improved CLAHE and ACE","display_name":"A new multi-scale adaptive enhancement algorithm for low-illumination coal mine images based on improved CLAHE and ACE","publication_year":2025,"publication_date":"2025-12-29","ids":{"openalex":"https://openalex.org/W7117464771","doi":"https://doi.org/10.1007/s44163-025-00663-5"},"language":"en","primary_location":{"id":"doi:10.1007/s44163-025-00663-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-025-00663-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44163-025-00663-5.pdf","source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s44163-025-00663-5.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5121450404","display_name":"Dengcong Mu","orcid":null},"institutions":[{"id":"https://openalex.org/I165859042","display_name":"Huaibei Normal University","ror":"https://ror.org/03ek23472","country_code":"CN","type":"education","lineage":["https://openalex.org/I165859042"]},{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dengcong Mu","raw_affiliation_strings":["Anhui Province Key Laboratory of Intelligent Computing and Applications, Huaibei Normal University, Huaibei, 235000, China","School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, Jiangsu, 221008, China","School of Physics and Electronic Engineering, Huaibei Normal University, Huaibei, 235000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Province Key Laboratory of Intelligent Computing and Applications, Huaibei Normal University, Huaibei, 235000, China","institution_ids":["https://openalex.org/I165859042"]},{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, Jiangsu, 221008, China","institution_ids":["https://openalex.org/I25757504"]},{"raw_affiliation_string":"School of Physics and Electronic Engineering, Huaibei Normal University, Huaibei, 235000, China","institution_ids":["https://openalex.org/I165859042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121453536","display_name":"Ziteng Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I165859042","display_name":"Huaibei Normal University","ror":"https://ror.org/03ek23472","country_code":"CN","type":"education","lineage":["https://openalex.org/I165859042"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ziteng Wang","raw_affiliation_strings":["Anhui Province Key Laboratory of Intelligent Computing and Applications, Huaibei Normal University, Huaibei, 235000, China","School of Physics and Electronic Engineering, Huaibei Normal University, Huaibei, 235000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Province Key Laboratory of Intelligent Computing and Applications, Huaibei Normal University, Huaibei, 235000, China","institution_ids":["https://openalex.org/I165859042"]},{"raw_affiliation_string":"School of Physics and Electronic Engineering, Huaibei Normal University, Huaibei, 235000, China","institution_ids":["https://openalex.org/I165859042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121459139","display_name":"Zheng Li","orcid":null},"institutions":[{"id":"https://openalex.org/I165859042","display_name":"Huaibei Normal University","ror":"https://ror.org/03ek23472","country_code":"CN","type":"education","lineage":["https://openalex.org/I165859042"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zheng Li","raw_affiliation_strings":["Anhui Province Key Laboratory of Intelligent Computing and Applications, Huaibei Normal University, Huaibei, 235000, China","School of Physics and Electronic Engineering, Huaibei Normal University, Huaibei, 235000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anhui Province Key Laboratory of Intelligent Computing and Applications, Huaibei Normal University, Huaibei, 235000, China","institution_ids":["https://openalex.org/I165859042"]},{"raw_affiliation_string":"School of Physics and Electronic Engineering, Huaibei Normal University, Huaibei, 235000, China","institution_ids":["https://openalex.org/I165859042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112072833","display_name":"Fei Fan Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Dong","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, Jiangsu, 221008, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, Jiangsu, 221008, China","institution_ids":["https://openalex.org/I25757504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5121453536","https://openalex.org/A5121459139"],"corresponding_institution_ids":["https://openalex.org/I165859042"],"apc_list":{"value":1340,"currency":"USD","value_usd":1340},"apc_paid":{"value":1340,"currency":"USD","value_usd":1340},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.52506767,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5","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":0.9553999900817871,"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":0.9553999900817871,"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":0.015300000086426735,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.004100000020116568,"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/adaptive-histogram-equalization","display_name":"Adaptive histogram equalization","score":0.838699996471405},{"id":"https://openalex.org/keywords/homomorphic-filtering","display_name":"Homomorphic filtering","score":0.6499999761581421},{"id":"https://openalex.org/keywords/histogram-equalization","display_name":"Histogram equalization","score":0.582099974155426},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5676000118255615},{"id":"https://openalex.org/keywords/gamma-correction","display_name":"Gamma correction","score":0.5539000034332275},{"id":"https://openalex.org/keywords/luminance","display_name":"Luminance","score":0.5303999781608582},{"id":"https://openalex.org/keywords/color-constancy","display_name":"Color constancy","score":0.45579999685287476},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4115000069141388},{"id":"https://openalex.org/keywords/histogram-matching","display_name":"Histogram matching","score":0.38089999556541443}],"concepts":[{"id":"https://openalex.org/C30387639","wikidata":"https://www.wikidata.org/wiki/Q4680744","display_name":"Adaptive histogram equalization","level":5,"score":0.838699996471405},{"id":"https://openalex.org/C56683213","wikidata":"https://www.wikidata.org/wiki/Q4143008","display_name":"Homomorphic filtering","level":4,"score":0.6499999761581421},{"id":"https://openalex.org/C136943445","wikidata":"https://www.wikidata.org/wiki/Q1970240","display_name":"Histogram equalization","level":4,"score":0.582099974155426},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5676000118255615},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5600000023841858},{"id":"https://openalex.org/C17916492","wikidata":"https://www.wikidata.org/wiki/Q1144257","display_name":"Gamma correction","level":3,"score":0.5539000034332275},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5382000207901001},{"id":"https://openalex.org/C73313986","wikidata":"https://www.wikidata.org/wiki/Q355386","display_name":"Luminance","level":2,"score":0.5303999781608582},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5227000117301941},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.483599990606308},{"id":"https://openalex.org/C187888035","wikidata":"https://www.wikidata.org/wiki/Q2563885","display_name":"Color constancy","level":3,"score":0.45579999685287476},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4115000069141388},{"id":"https://openalex.org/C127449775","wikidata":"https://www.wikidata.org/wiki/Q3785871","display_name":"Histogram matching","level":4,"score":0.38089999556541443},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.3750999867916107},{"id":"https://openalex.org/C108615695","wikidata":"https://www.wikidata.org/wiki/Q12880211","display_name":"Coal mining","level":3,"score":0.37310001254081726},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.36079999804496765},{"id":"https://openalex.org/C3017601658","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image enhancement","level":3,"score":0.3506999909877777},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.32989999651908875},{"id":"https://openalex.org/C81388566","wikidata":"https://www.wikidata.org/wiki/Q526668","display_name":"Sigmoid function","level":3,"score":0.3271999955177307},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.31709998846054077},{"id":"https://openalex.org/C2776003309","wikidata":"https://www.wikidata.org/wiki/Q1988072","display_name":"Adaptive algorithm","level":2,"score":0.31700000166893005},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.30219998955726624},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.2980000078678131},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29760000109672546},{"id":"https://openalex.org/C171107226","wikidata":"https://www.wikidata.org/wiki/Q574291","display_name":"Backlight","level":3,"score":0.2937000095844269},{"id":"https://openalex.org/C3018181011","wikidata":"https://www.wikidata.org/wiki/Q6849688","display_name":"Contrast enhancement","level":3,"score":0.2777000069618225},{"id":"https://openalex.org/C30108884","wikidata":"https://www.wikidata.org/wiki/Q1242761","display_name":"Edge enhancement","level":4,"score":0.2745000123977661},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.26080000400543213}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s44163-025-00663-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-025-00663-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44163-025-00663-5.pdf","source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:28f92423b2804b8eb3042ff0a0d2f5df","is_oa":true,"landing_page_url":"https://doaj.org/article/28f92423b2804b8eb3042ff0a0d2f5df","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Discover Artificial Intelligence, Vol 5, Iss 1, Pp 1-22 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s44163-025-00663-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-025-00663-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44163-025-00663-5.pdf","source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7117464771.pdf","grobid_xml":"https://content.openalex.org/works/W7117464771.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W2001412060","https://openalex.org/W2121579674","https://openalex.org/W2988716416","https://openalex.org/W3088771073","https://openalex.org/W3119872253","https://openalex.org/W3167302427","https://openalex.org/W4206594792","https://openalex.org/W4295129745","https://openalex.org/W4309222657","https://openalex.org/W4321380143","https://openalex.org/W4376643802","https://openalex.org/W4389767241","https://openalex.org/W4401282347","https://openalex.org/W4402302045","https://openalex.org/W4407735561","https://openalex.org/W4408801186","https://openalex.org/W4410707201"],"related_works":[],"abstract_inverted_index":{"To":[0],"address":[1],"the":[2,99,105,127,136,147,172,184,205,239,249,264],"issues":[3],"of":[4,104,120,218,231,267],"overall":[5],"darkness":[6],"and":[7,21,49,123,132,141,165,178,195,214,221,234,244,272,274,285],"low":[8],"contrast":[9,87],"in":[10,95,253],"surveillance":[11,284],"video":[12],"images":[13,129],"caused":[14,89],"by":[15,72,90],"complex":[16],"underground":[17,96,282],"coal":[18,35],"mine":[19,36],"spaces":[20],"uneven":[22],"illumination,":[23],"this":[24],"study":[25],"proposes":[26],"a":[27,55,74,277],"multi-scale":[28],"enhancement":[29,102,174],"algorithm":[30,39,57,79,107,208,247],"named":[31],"GCA":[32,207],"for":[33,281],"low-illumination":[34],"images.":[37,97],"The":[38,246],"is":[40,64,70,108],"based":[41],"on":[42,183],"Contrast":[43],"Limited":[44],"Adaptive":[45],"Histogram":[46],"Equalization":[47,52],"(CLAHE)":[48],"Automatic":[50],"Color":[51],"(ACE).":[53],"First,":[54],"CLAHE":[56],"integrated":[58],"with":[59,150,225,237],"dynamic":[60],"Gamma":[61,83],"correction":[62],"(GC-CLAHE)":[63],"introduced.":[65],"Traditional":[66],"contrast-limited":[67],"histogram":[68],"equalization":[69],"enhanced":[71,138,185],"adopting":[73],"grid":[75],"search-based":[76],"weighted":[77,131],"averaging":[78],"to":[80,110,134],"adaptively":[81],"adjust":[82],"parameters,":[84],"thereby":[85],"alleviating":[86],"imbalance":[88],"local":[91,100],"underexposure":[92],"or":[93],"overexposure":[94],"Second,":[98],"gradient-guided":[101],"mechanism":[103],"ACE":[106],"incorporated":[109],"strengthen":[111],"textural":[112],"details":[113],"while":[114,262],"suppressing":[115],"noise,":[116],"achieving":[117],"collaborative":[118],"optimization":[119],"luminance":[121],"balance":[122],"edge":[124],"features.":[125],"Finally,":[126],"processed":[128],"are":[130,144,181,241],"fused":[133],"generate":[135],"final":[137],"result.":[139],"Comparative":[140],"ablation":[142],"experiments":[143],"conducted":[145],"using":[146,187],"CUMT-CMUID":[148],"dataset,":[149],"Single-Scale":[151],"Retinex":[152,155],"(SSR),":[153],"Multi-Scale":[154],"(MSR),":[156],"Dark":[157],"Channel":[158],"Prior":[159],"(DCP),":[160],"Guided":[161],"Filtering,":[162],"Homomorphic":[163],"Filtering":[164],"adaptive":[166],"sigmoid":[167],"transfer":[168],"function":[169],"(ASTF)":[170],"as":[171,198],"comparison":[173,250],"methods.":[175],"Both":[176],"subjective":[177],"objective":[179,199],"evaluations":[180],"performed":[182],"images,":[186,268],"information":[188,271],"entropy,":[189],"mean":[190],"square":[191],"error,":[192],"standard":[193],"deviation,":[194],"average":[196],"gradient":[197],"metrics.":[200,256],"Experimental":[201],"results":[202],"show":[203],"that":[204],"proposed":[206],"achieves":[209],"Information":[210],"Entropy,":[211],"Standard":[212],"Deviation,":[213],"Mean":[215],"Gradient":[216],"values":[217,228],"7.758,":[219],"55.430,":[220],"80.592,":[222],"respectively.":[223],"Compared":[224],"SSR,":[226],"these":[227],"represent":[229],"improvements":[230,240],"24.64%,":[232],"13.09%,":[233],"121.97%;":[235],"compared":[236],"MSR,":[238],"20.48%,":[242],"29.95%,":[243],"202.45%.":[245],"outperforms":[248],"methods":[251],"significantly":[252],"multiple":[254],"evaluation":[255],"It":[257],"effectively":[258],"enhances":[259],"image":[260],"brightness":[261],"preserving":[263],"natural":[265],"appearance":[266],"improves":[269],"detail":[270],"contrast,":[273],"thus":[275],"provides":[276],"high-reliability":[278],"preprocessing":[279],"solution":[280],"intelligent":[283],"target":[286],"recognition.":[287]},"counts_by_year":[],"updated_date":"2026-07-23T05:56:39.545243","created_date":"2025-12-29T00:00:00"}
