{"id":"https://openalex.org/W4212818870","doi":"https://doi.org/10.3390/rs14040939","title":"An Improved Infrared and Visible Image Fusion Using an Adaptive Contrast Enhancement Method and Deep Learning Network with Transfer Learning","display_name":"An Improved Infrared and Visible Image Fusion Using an Adaptive Contrast Enhancement Method and Deep Learning Network with Transfer Learning","publication_year":2022,"publication_date":"2022-02-15","ids":{"openalex":"https://openalex.org/W4212818870","doi":"https://doi.org/10.3390/rs14040939"},"language":"en","primary_location":{"id":"doi:10.3390/rs14040939","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14040939","pdf_url":"https://www.mdpi.com/2072-4292/14/4/939/pdf?version=1645170617","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/14/4/939/pdf?version=1645170617","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026003182","display_name":"Jameel Ahmed Bhutto","orcid":"https://orcid.org/0000-0003-4896-7205"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jameel Ahmed Bhutto","raw_affiliation_strings":["School of Automation Science and Engineering, South China University and Technology, Guangzhou 510640, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering, South China University and Technology, Guangzhou 510640, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100345591","display_name":"Lianfang Tian","orcid":"https://orcid.org/0000-0003-4326-6821"},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210090744","display_name":"Guangzhou Marine Geological Survey","ror":"https://ror.org/00jaxam28","country_code":"CN","type":"government","lineage":["https://openalex.org/I2799486974","https://openalex.org/I4210090744"]},{"id":"https://openalex.org/I4210106122","display_name":"Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)","ror":"https://ror.org/00y7mag53","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210106122"]},{"id":"https://openalex.org/I4391012567","display_name":"Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)","ror":"https://ror.org/03swgqh13","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4391012567"]},{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lianfang Tian","raw_affiliation_strings":["Key Laboratory of Marine Environmental Survey Technology and Application, Ministry of Natural Resources, Guangzhou 510300, China","School of Automation Science and Engineering, South China University and Technology, Guangzhou 510640, China","Southern Marine Science and Engineering Guangdong Laboratory Zhuhai, Zhuhai 519080, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Marine Environmental Survey Technology and Application, Ministry of Natural Resources, Guangzhou 510300, China","institution_ids":["https://openalex.org/I4210090744","https://openalex.org/I211433327"]},{"raw_affiliation_string":"School of Automation Science and Engineering, South China University and Technology, Guangzhou 510640, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Southern Marine Science and Engineering Guangdong Laboratory Zhuhai, Zhuhai 519080, China","institution_ids":["https://openalex.org/I4210106122","https://openalex.org/I4391012567"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101623453","display_name":"Qiliang Du","orcid":"https://orcid.org/0000-0003-3437-3027"},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I4210090744","display_name":"Guangzhou Marine Geological Survey","ror":"https://ror.org/00jaxam28","country_code":"CN","type":"government","lineage":["https://openalex.org/I2799486974","https://openalex.org/I4210090744"]},{"id":"https://openalex.org/I4210106122","display_name":"Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)","ror":"https://ror.org/00y7mag53","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210106122"]},{"id":"https://openalex.org/I4391012567","display_name":"Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai)","ror":"https://ror.org/03swgqh13","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4391012567"]},{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiliang Du","raw_affiliation_strings":["Key Laboratory of Marine Environmental Survey Technology and Application, Ministry of Natural Resources, Guangzhou 510300, China","School of Automation Science and Engineering, South China University and Technology, Guangzhou 510640, China","Southern Marine Science and Engineering Guangdong Laboratory Zhuhai, Zhuhai 519080, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Marine Environmental Survey Technology and Application, Ministry of Natural Resources, Guangzhou 510300, China","institution_ids":["https://openalex.org/I4210090744","https://openalex.org/I211433327"]},{"raw_affiliation_string":"School of Automation Science and Engineering, South China University and Technology, Guangzhou 510640, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Southern Marine Science and Engineering Guangdong Laboratory Zhuhai, Zhuhai 519080, China","institution_ids":["https://openalex.org/I4210106122","https://openalex.org/I4391012567"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001852074","display_name":"Zhengzheng Sun","orcid":"https://orcid.org/0000-0002-9293-5625"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengzheng Sun","raw_affiliation_strings":["School of Automation Science and Engineering, South China University and Technology, Guangzhou 510640, China"],"raw_orcid":"https://orcid.org/0000-0002-9293-5625","affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering, South China University and Technology, Guangzhou 510640, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059061758","display_name":"Lubin Yu","orcid":"https://orcid.org/0000-0002-6831-0545"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lubin Yu","raw_affiliation_strings":["School of Automation Science and Engineering, South China University and Technology, Guangzhou 510640, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation Science and Engineering, South China University and Technology, Guangzhou 510640, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008967203","display_name":"Toufique Ahmed Soomro","orcid":"https://orcid.org/0000-0002-8560-0026"},"institutions":[{"id":"https://openalex.org/I65146876","display_name":"Quaid-e-Awam University of Engineering, Science and Technology","ror":"https://ror.org/01t34b131","country_code":"PK","type":"education","lineage":["https://openalex.org/I65146876"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Toufique Ahmed Soomro","raw_affiliation_strings":["Electronic Engineering Department, Quaid-e-Awam University of Science and Technology, Nawabshah 67480, Pakistan"],"raw_orcid":"https://orcid.org/0000-0002-8560-0026","affiliations":[{"raw_affiliation_string":"Electronic Engineering Department, Quaid-e-Awam University of Science and Technology, Nawabshah 67480, Pakistan","institution_ids":["https://openalex.org/I65146876"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100345591"],"corresponding_institution_ids":["https://openalex.org/I211433327","https://openalex.org/I4210090744","https://openalex.org/I4210106122","https://openalex.org/I4391012567","https://openalex.org/I90610280"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.9207,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.86902583,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"14","issue":"4","first_page":"939","last_page":"939"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9987000226974487,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9916999936103821,"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/computer-science","display_name":"Computer science","score":0.7315418720245361},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6956496834754944},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5371691584587097},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5298616290092468},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5135455131530762},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.5076233148574829},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4683888256549835},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4675188362598419},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.45769956707954407},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.45308035612106323},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.445254385471344},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.445247083902359}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7315418720245361},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6956496834754944},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5371691584587097},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5298616290092468},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5135455131530762},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5076233148574829},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4683888256549835},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4675188362598419},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.45769956707954407},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.45308035612106323},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.445254385471344},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.445247083902359},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/rs14040939","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14040939","pdf_url":"https://www.mdpi.com/2072-4292/14/4/939/pdf?version=1645170617","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:publications/b7569af9-c367-4894-ba65-70ff2cfabdfb","is_oa":true,"landing_page_url":"https://researchoutput.csu.edu.au/en/publications/b7569af9-c367-4894-ba65-70ff2cfabdfb","pdf_url":null,"source":{"id":"https://openalex.org/S7407055442","display_name":"Charles Sturt University Research Output (CRO)","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Bhutto, J A, Tian, L, Du, Q, Sun, Z, Yu, L & Soomro, T 2022, 'An improved infrared and visible image fusion using an adaptive contrast enhancement method and deep learning network with transfer learning', Remote Sensing, vol. 14, no. 4, 939, pp. 1-27. https://doi.org/10.3390/rs14040939","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:doaj.org/article:4b237e2cc68d4fb3b2eddc7110d17a57","is_oa":true,"landing_page_url":"https://doaj.org/article/4b237e2cc68d4fb3b2eddc7110d17a57","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":"Remote Sensing, Vol 14, Iss 4, p 939 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/4/939/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14040939","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 14; Issue 4; Pages: 939","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14040939","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14040939","pdf_url":"https://www.mdpi.com/2072-4292/14/4/939/pdf?version=1645170617","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8999999761581421,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4212818870.pdf","grobid_xml":"https://content.openalex.org/works/W4212818870.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W1965606870","https://openalex.org/W1980382026","https://openalex.org/W1997480692","https://openalex.org/W2026916126","https://openalex.org/W2028043941","https://openalex.org/W2029336010","https://openalex.org/W2043359668","https://openalex.org/W2049549093","https://openalex.org/W2065428319","https://openalex.org/W2083188312","https://openalex.org/W2099600479","https://openalex.org/W2114207195","https://openalex.org/W2146353910","https://openalex.org/W2150134853","https://openalex.org/W2179019672","https://openalex.org/W2182332322","https://openalex.org/W2335721403","https://openalex.org/W2412184675","https://openalex.org/W2532801510","https://openalex.org/W2559870345","https://openalex.org/W2590003272","https://openalex.org/W2744019306","https://openalex.org/W2744198280","https://openalex.org/W2757470902","https://openalex.org/W2764024122","https://openalex.org/W2777658515","https://openalex.org/W2798018774","https://openalex.org/W2809795042","https://openalex.org/W2809906683","https://openalex.org/W3000720402","https://openalex.org/W3003944873","https://openalex.org/W3006510956","https://openalex.org/W3022764761","https://openalex.org/W3081065268","https://openalex.org/W3092711945","https://openalex.org/W3097988966","https://openalex.org/W3102515681","https://openalex.org/W3105495435","https://openalex.org/W3122103149","https://openalex.org/W3126994406","https://openalex.org/W3137646361","https://openalex.org/W3158058297","https://openalex.org/W3174655347","https://openalex.org/W3175245591","https://openalex.org/W3193035952","https://openalex.org/W3193682252","https://openalex.org/W4206696802","https://openalex.org/W6671284944","https://openalex.org/W6714886656","https://openalex.org/W6753092213","https://openalex.org/W6786419470","https://openalex.org/W6797425098","https://openalex.org/W6864450276"],"related_works":["https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2139242969","https://openalex.org/W2379054866","https://openalex.org/W2549658594","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2350422455","https://openalex.org/W2284201331"],"abstract_inverted_index":{"Deep":[0],"learning":[1,122],"(DL)":[2],"has":[3,245],"achieved":[4],"significant":[5],"attention":[6],"in":[7,172,205],"the":[8,26,29,41,59,76,105,117,138,149,154,177,186,206,239,242,255,258],"field":[9],"of":[10,28,78,116,180,257],"infrared":[11],"(IR)":[12],"and":[13,18,58,92,182,200,225,235],"visible":[14],"(VI)":[15],"image":[16,43],"fusion,":[17],"several":[19],"attempts":[20],"have":[21],"been":[22],"made":[23],"to":[24,49,123,136,152,214,217,220,223,227,250],"enhance":[25],"quality":[27],"final":[30,139],"fused":[31,131,140,147],"image.":[32],"It":[33],"produces":[34],"better":[35],"results":[36,158],"than":[37,261],"conventional":[38,262],"methods;":[39],"however,":[40],"captured":[42],"cannot":[44],"acquire":[45],"useful":[46],"information":[47],"due":[48],"environments":[50],"with":[51,80,168],"poor":[52],"lighting,":[53],"fog,":[54],"dense":[55],"smoke,":[56],"haze,":[57],"noise":[60,102,247],"generated":[61],"by":[62,95,132,148,192],"sensors.":[63],"This":[64],"paper":[65],"proposes":[66],"an":[67],"adaptive":[68,81],"fuzzy-based":[69],"preprocessing":[70],"enhancement":[71],"method":[72,151,163,211,244,260],"that":[73,100,160,252],"automatically":[74],"enhances":[75],"contrast":[77],"images":[79,86],"parameter":[82],"calculation.":[83],"The":[84,107,143,209],"enhanced":[85],"are":[87,110,130,146,190],"then":[88],"decomposed":[89],"into":[90,112],"base":[91,144],"detail":[93],"layers":[94,115],"anisotropic":[96],"diffusion-based":[97],"edge-preserving":[98],"filters":[99],"remove":[101],"while":[103],"smoothing":[104],"edges.":[106],"detailed":[108,141],"parts":[109,145],"fed":[111],"four":[113],"convolutional":[114],"VGG-19":[118],"network":[119],"through":[120,176],"transfer":[121],"extract":[124],"features":[125,128],"maps.":[126],"These":[127],"maps":[129],"multiple":[133],"fusion":[134,170],"strategies":[135],"obtain":[137],"layer.":[142],"PCA":[150],"preserve":[153],"energy":[155],"information.":[156],"Experimental":[157],"reveal":[159],"our":[161],"proposed":[162,210,243,259],"achieves":[164,212],"state-of-the-art":[165],"performance":[166],"compared":[167],"existing":[169],"methods":[171],"a":[173],"subjective":[174],"evaluation":[175],"visual":[178],"experience":[179],"experts":[181],"statistical":[183],"tests.":[184],"Moreover,":[185],"objective":[187],"assessment":[188],"parameters":[189,194],"conducted":[191],"various":[193],"(FMI,":[195],"SSIMa,":[196,232],"API,":[197,233],"EN,":[198,234],"QFAB,":[199,236],"NFAB)":[201],"which":[202],"were":[203],"used":[204],"comparison":[207],"method.":[208],"0.2651":[213],"0.3951,":[215],"0.5827":[216],"0.8469,":[218],"56.3710":[219],"71.9081,":[221],"4.0117":[222],"7.9907,":[224],"0.6538":[226],"0.8727":[228],"gain":[229],"for":[230],"FMI,":[231],"respectively.":[237],"At":[238],"same":[240],"time,":[241],"more":[246],"reduction":[248],"(0.3049":[249],"0.0021)":[251],"further":[253],"justifies":[254],"efficacy":[256],"methods.":[263]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}