{"id":"https://openalex.org/W4286433536","doi":"https://doi.org/10.3390/s22145464","title":"EIEN: Endoscopic Image Enhancement Network Based on Retinex Theory","display_name":"EIEN: Endoscopic Image Enhancement Network Based on Retinex Theory","publication_year":2022,"publication_date":"2022-07-21","ids":{"openalex":"https://openalex.org/W4286433536","doi":"https://doi.org/10.3390/s22145464","pmid":"https://pubmed.ncbi.nlm.nih.gov/35891145"},"language":"en","primary_location":{"id":"doi:10.3390/s22145464","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22145464","pdf_url":"https://www.mdpi.com/1424-8220/22/14/5464/pdf?version=1658414293","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/14/5464/pdf?version=1658414293","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049252509","display_name":"Ziheng An","orcid":null},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziheng An","raw_affiliation_strings":["AnHui Engineering Laboratory of Agro-Ecological Big Data, Hefei 230601, China","School of Integrated Circuits, Anhui University, Hefei 230601, China"],"affiliations":[{"raw_affiliation_string":"AnHui Engineering Laboratory of Agro-Ecological Big Data, Hefei 230601, China","institution_ids":[]},{"raw_affiliation_string":"School of Integrated Circuits, Anhui University, Hefei 230601, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100385712","display_name":"Chao Xu","orcid":"https://orcid.org/0000-0002-3417-6464"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chao Xu","raw_affiliation_strings":["AnHui Engineering Laboratory of Agro-Ecological Big Data, Hefei 230601, China","School of Integrated Circuits, Anhui University, Hefei 230601, China"],"affiliations":[{"raw_affiliation_string":"AnHui Engineering Laboratory of Agro-Ecological Big Data, Hefei 230601, China","institution_ids":[]},{"raw_affiliation_string":"School of Integrated Circuits, Anhui University, Hefei 230601, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053562979","display_name":"Kai Qian","orcid":"https://orcid.org/0000-0002-3215-1642"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Qian","raw_affiliation_strings":["AnHui Engineering Laboratory of Agro-Ecological Big Data, Hefei 230601, China","School of Integrated Circuits, Anhui University, Hefei 230601, China"],"affiliations":[{"raw_affiliation_string":"AnHui Engineering Laboratory of Agro-Ecological Big Data, Hefei 230601, China","institution_ids":[]},{"raw_affiliation_string":"School of Integrated Circuits, Anhui University, Hefei 230601, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082276769","display_name":"Jubao Han","orcid":null},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jubao Han","raw_affiliation_strings":["AnHui Engineering Laboratory of Agro-Ecological Big Data, Hefei 230601, China","School of Integrated Circuits, Anhui University, Hefei 230601, China"],"affiliations":[{"raw_affiliation_string":"AnHui Engineering Laboratory of Agro-Ecological Big Data, Hefei 230601, China","institution_ids":[]},{"raw_affiliation_string":"School of Integrated Circuits, Anhui University, Hefei 230601, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027004576","display_name":"Wei Tan","orcid":"https://orcid.org/0000-0003-0024-8009"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Tan","raw_affiliation_strings":["AnHui Engineering Laboratory of Agro-Ecological Big Data, Hefei 230601, China","School of Integrated Circuits, Anhui University, Hefei 230601, China"],"affiliations":[{"raw_affiliation_string":"AnHui Engineering Laboratory of Agro-Ecological Big Data, Hefei 230601, China","institution_ids":[]},{"raw_affiliation_string":"School of Integrated Circuits, Anhui University, Hefei 230601, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047791371","display_name":"Dou Wang","orcid":"https://orcid.org/0000-0001-9098-0855"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dou Wang","raw_affiliation_strings":["AnHui Engineering Laboratory of Agro-Ecological Big Data, Hefei 230601, China","School of Integrated Circuits, Anhui University, Hefei 230601, China"],"affiliations":[{"raw_affiliation_string":"AnHui Engineering Laboratory of Agro-Ecological Big Data, Hefei 230601, China","institution_ids":[]},{"raw_affiliation_string":"School of Integrated Circuits, Anhui University, Hefei 230601, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071202587","display_name":"Qianqian Fang","orcid":"https://orcid.org/0000-0003-0805-935X"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianqian Fang","raw_affiliation_strings":["AnHui Engineering Laboratory of Agro-Ecological Big Data, Hefei 230601, China","School of Integrated Circuits, Anhui University, Hefei 230601, China"],"affiliations":[{"raw_affiliation_string":"AnHui Engineering Laboratory of Agro-Ecological Big Data, Hefei 230601, China","institution_ids":[]},{"raw_affiliation_string":"School of Integrated Circuits, Anhui University, Hefei 230601, China","institution_ids":["https://openalex.org/I143868143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100385712"],"corresponding_institution_ids":["https://openalex.org/I143868143"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.5295,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.83822343,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"22","issue":"14","first_page":"5464","last_page":"5464"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":1.0,"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":1.0,"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":0.9987999796867371,"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":0.9958000183105469,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7859774827957153},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6675581932067871},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6533863544464111},{"id":"https://openalex.org/keywords/color-constancy","display_name":"Color constancy","score":0.6526938080787659},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.553299069404602},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5254406332969666},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4745826721191406},{"id":"https://openalex.org/keywords/reflection","display_name":"Reflection (computer programming)","score":0.4441637694835663},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42693373560905457},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37863072752952576},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18414974212646484}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7859774827957153},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6675581932067871},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6533863544464111},{"id":"https://openalex.org/C187888035","wikidata":"https://www.wikidata.org/wiki/Q2563885","display_name":"Color constancy","level":3,"score":0.6526938080787659},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.553299069404602},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5254406332969666},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4745826721191406},{"id":"https://openalex.org/C65682993","wikidata":"https://www.wikidata.org/wiki/Q1056451","display_name":"Reflection (computer programming)","level":2,"score":0.4441637694835663},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42693373560905457},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37863072752952576},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18414974212646484},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s22145464","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22145464","pdf_url":"https://www.mdpi.com/1424-8220/22/14/5464/pdf?version=1658414293","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},{"id":"pmid:35891145","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35891145","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:50debf5d2df249268dab90d3102090c1","is_oa":true,"landing_page_url":"https://doaj.org/article/50debf5d2df249268dab90d3102090c1","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 22, Iss 14, p 5464 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/14/5464/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22145464","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":"Sensors; Volume 22; Issue 14; Pages: 5464","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9324016","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9324016","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22145464","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22145464","pdf_url":"https://www.mdpi.com/1424-8220/22/14/5464/pdf?version=1658414293","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6786803390","display_name":null,"funder_award_id":"2019YFC0117800","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4286433536.pdf","grobid_xml":"https://content.openalex.org/works/W4286433536.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1964859077","https://openalex.org/W2016622085","https://openalex.org/W2058333183","https://openalex.org/W2064076387","https://openalex.org/W2102166818","https://openalex.org/W2121900453","https://openalex.org/W2133665775","https://openalex.org/W2150461190","https://openalex.org/W2150721269","https://openalex.org/W2169447236","https://openalex.org/W2169899245","https://openalex.org/W2254039850","https://openalex.org/W2468596194","https://openalex.org/W2560023338","https://openalex.org/W2566376500","https://openalex.org/W2569004391","https://openalex.org/W2752782242","https://openalex.org/W2884585870","https://openalex.org/W2909382879","https://openalex.org/W2963091558","https://openalex.org/W2964231884","https://openalex.org/W2964267765","https://openalex.org/W2970971581","https://openalex.org/W2999925080","https://openalex.org/W2999935620","https://openalex.org/W3035731588","https://openalex.org/W3083040138","https://openalex.org/W3121661546","https://openalex.org/W3155229568","https://openalex.org/W4220664726","https://openalex.org/W4226245048","https://openalex.org/W6757829682"],"related_works":["https://openalex.org/W4237735386","https://openalex.org/W2982638676","https://openalex.org/W2622554317","https://openalex.org/W2006198159","https://openalex.org/W1603973577","https://openalex.org/W2114667878","https://openalex.org/W2159871081","https://openalex.org/W4206776094","https://openalex.org/W3154920669","https://openalex.org/W3121197456"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"deep":[3],"convolutional":[4],"neural":[5],"network":[6,49,84],"(CNN)-based":[7],"image":[8,34,47,94,154,172,206,232],"enhancement":[9,35,48,79,214],"has":[10],"shown":[11],"outstanding":[12],"performance.":[13],"However,":[14],"due":[15],"to":[16,61,130,173,176,184,192,226,243],"the":[17,29,53,82,92,98,112,118,132,136,144,148,152,156,162,165,171,185,189,194,199,209,228,235,245,250,253,271,285,288,294],"problems":[18],"of":[19,31,68,86,135,147,155,164,170,188,196,201,252,275,299],"uneven":[20],"illumination":[21,73,103,113,157,237],"and":[22,42,76,96,104,151,167,205,220,231,238,273,278,281,302],"low":[23],"contrast":[24,274],"existing":[25],"in":[26,58,198,290,297],"endoscopic":[27,33,46,93,149,276],"images,":[28],"implementation":[30],"medical":[32],"using":[36],"CNN":[37],"is":[38,56,89,128,141,159,215,224],"still":[39],"an":[40],"exploratory":[41],"challenging":[43],"task.":[44],"An":[45],"(EIEN)":[50],"based":[51,142],"on":[52,91,143,260],"Retinex":[54],"theory":[55],"proposed":[57,119,254],"this":[59,108,291],"paper":[60,292],"solve":[62],"these":[63],"problems.":[64],"The":[65,125,138,211,264],"structure":[66,127],"consists":[67],"three":[69],"parts:":[70],"decomposition":[71,83,109],"network,":[72,75],"correction":[74],"reflection":[77,105,212,239],"component":[78,158,213],"algorithm.":[80],"First,":[81],"model":[85],"pre-trained":[87],"Retinex-Net":[88],"retrained":[90],"dataset,":[95],"then":[97],"images":[99,277],"are":[100,115,241],"decomposed":[101],"into":[102],"components":[106,114,240],"by":[107,117,208,217],"network.":[110,210],"Second,":[111],"corrected":[116],"self-attention":[120,139],"guided":[121],"multi-scale":[122,133,202],"pyramid":[123,126],"structure.":[124],"used":[129,225],"capture":[131],"information":[134,230],"image.":[137,247],"mechanism":[140],"imaging":[145],"nature":[146],"image,":[150],"inverse":[153],"fused":[160],"with":[161,256],"features":[163],"green":[166],"blue":[168],"channels":[169],"be":[174],"enhanced":[175,236],"generate":[177],"a":[178,261],"weight":[179],"map":[180],"that":[181,268],"reassigns":[182],"weights":[183],"spatial":[186],"dimension":[187],"feature":[190,203],"map,":[191],"avoid":[193],"loss":[195],"details":[197],"process":[200],"fusion":[204],"reconstruction":[207],"achieved":[216],"sub-channel":[218],"stretching":[219],"weighted":[221],"fusion,":[222],"which":[223],"enhance":[227],"vascular":[229,280],"contrast.":[233],"Finally,":[234],"multiplied":[242],"obtain":[244],"reconstructed":[246],"We":[248],"compare":[249],"results":[251,266,296],"method":[255,289],"six":[257],"other":[258],"methods":[259],"test":[262],"set.":[263],"experimental":[265],"show":[267],"EIEN":[269],"enhances":[270],"brightness":[272],"highlights":[279],"tissue":[282],"information.":[283],"At":[284],"same":[286],"time,":[287],"obtained":[293],"best":[295],"terms":[298],"visual":[300],"perception":[301],"objective":[303],"evaluation.":[304]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
