{"id":"https://openalex.org/W4392693690","doi":"https://doi.org/10.1109/tetci.2024.3369321","title":"Mutual Retinex: Combining Transformer and CNN for Image Enhancement","display_name":"Mutual Retinex: Combining Transformer and CNN for Image Enhancement","publication_year":2024,"publication_date":"2024-03-12","ids":{"openalex":"https://openalex.org/W4392693690","doi":"https://doi.org/10.1109/tetci.2024.3369321"},"language":"en","primary_location":{"id":"doi:10.1109/tetci.2024.3369321","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2024.3369321","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103140908","display_name":"Kui Jiang","orcid":"https://orcid.org/0000-0002-4055-7503"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kui Jiang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China"],"raw_orcid":"https://orcid.org/0000-0002-4055-7503","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102722692","display_name":"Qiong Wang","orcid":"https://orcid.org/0000-0002-3281-6587"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiong Wang","raw_affiliation_strings":["National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-3281-6587","affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032322121","display_name":"Zhaoyi An","orcid":"https://orcid.org/0009-0006-8734-8457"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoyi An","raw_affiliation_strings":["National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0009-0006-8734-8457","affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100401164","display_name":"Zheng Wang","orcid":"https://orcid.org/0000-0003-3846-9157"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Wang","raw_affiliation_strings":["National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-3846-9157","affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035057047","display_name":"Cong Zhang","orcid":"https://orcid.org/0000-0002-9624-1655"},"institutions":[{"id":"https://openalex.org/I14116566","display_name":"Wuhan Polytechnic University","ror":"https://ror.org/05w0e5j23","country_code":"CN","type":"education","lineage":["https://openalex.org/I14116566"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cong Zhang","raw_affiliation_strings":["School of Mathematics and Computer Science, Wuhan Polytechnic University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-9624-1655","affiliations":[{"raw_affiliation_string":"School of Mathematics and Computer Science, Wuhan Polytechnic University, Wuhan, China","institution_ids":["https://openalex.org/I14116566"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051264473","display_name":"Chia\u2010Wen Lin","orcid":"https://orcid.org/0000-0002-9097-2318"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chia-Wen Lin","raw_affiliation_strings":["Department of Electrical Engineering, Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-9097-2318","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.1248,"has_fulltext":false,"cited_by_count":48,"citation_normalized_percentile":{"value":0.97464153,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"8","issue":"3","first_page":"2240","last_page":"2252"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.8787999749183655,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.8787999749183655,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.8284000158309937,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T12702","display_name":"Brain Tumor Detection and Classification","score":0.8123999834060669,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/color-constancy","display_name":"Color constancy","score":0.6858701109886169},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6004229187965393},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5392332077026367},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5160214900970459},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4691395163536072},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.327023446559906},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2916784882545471},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11967724561691284},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.057021111249923706},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.056986063718795776}],"concepts":[{"id":"https://openalex.org/C187888035","wikidata":"https://www.wikidata.org/wiki/Q2563885","display_name":"Color constancy","level":3,"score":0.6858701109886169},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6004229187965393},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5392332077026367},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5160214900970459},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4691395163536072},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.327023446559906},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2916784882545471},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11967724561691284},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.057021111249923706},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.056986063718795776}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tetci.2024.3369321","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2024.3369321","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1422118355","display_name":null,"funder_award_id":"62171325","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":83,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W168125071","https://openalex.org/W1580436348","https://openalex.org/W1987444808","https://openalex.org/W2016622085","https://openalex.org/W2055745001","https://openalex.org/W2081140338","https://openalex.org/W2101778210","https://openalex.org/W2102605133","https://openalex.org/W2121900453","https://openalex.org/W2133665775","https://openalex.org/W2147421915","https://openalex.org/W2154549868","https://openalex.org/W2164847484","https://openalex.org/W2254039850","https://openalex.org/W2387482914","https://openalex.org/W2548865889","https://openalex.org/W2566376500","https://openalex.org/W2596058005","https://openalex.org/W2607041014","https://openalex.org/W2744216855","https://openalex.org/W2763503841","https://openalex.org/W2767009334","https://openalex.org/W2783399029","https://openalex.org/W2791710889","https://openalex.org/W2792328492","https://openalex.org/W2798844427","https://openalex.org/W2911695179","https://openalex.org/W2948354154","https://openalex.org/W2948400274","https://openalex.org/W2963017889","https://openalex.org/W2965836860","https://openalex.org/W2971483169","https://openalex.org/W2981718299","https://openalex.org/W2990176100","https://openalex.org/W3006777311","https://openalex.org/W3032400974","https://openalex.org/W3032766569","https://openalex.org/W3035731588","https://openalex.org/W3099562471","https://openalex.org/W3100618669","https://openalex.org/W3112479442","https://openalex.org/W3120540810","https://openalex.org/W3121661546","https://openalex.org/W3138516171","https://openalex.org/W3153781409","https://openalex.org/W3154123740","https://openalex.org/W3154593388","https://openalex.org/W3157502174","https://openalex.org/W3159660641","https://openalex.org/W3171125843","https://openalex.org/W3174605894","https://openalex.org/W3174792937","https://openalex.org/W3193296307","https://openalex.org/W3200683480","https://openalex.org/W3207918547","https://openalex.org/W4214602694","https://openalex.org/W4214893857","https://openalex.org/W4224130636","https://openalex.org/W4225309680","https://openalex.org/W4225672218","https://openalex.org/W4226157755","https://openalex.org/W4230472795","https://openalex.org/W4281492692","https://openalex.org/W4282914989","https://openalex.org/W4284971911","https://openalex.org/W4285134614","https://openalex.org/W4296079457","https://openalex.org/W4296473479","https://openalex.org/W4304099129","https://openalex.org/W4312249431","https://openalex.org/W4312725970","https://openalex.org/W4312812783","https://openalex.org/W4312938066","https://openalex.org/W4313059954","https://openalex.org/W4377079715","https://openalex.org/W4382240242","https://openalex.org/W4385245566","https://openalex.org/W4386071839","https://openalex.org/W4390872154","https://openalex.org/W6606798419","https://openalex.org/W6754146604","https://openalex.org/W6784333009"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Images":[0],"captured":[1],"in":[2,36,221],"low-light":[3,192],"or":[4],"underwater":[5,199],"environments":[6],"are":[7,41,145],"often":[8],"accompanied":[9],"by":[10,165,215],"significant":[11,34,179],"degradation,":[12],"which":[13],"can":[14],"negatively":[15],"impact":[16],"the":[17,64,101,111,137,154,158,161,178,191,198,211,224],"quality":[18],"and":[19,29,70,106,142,147,172,194,218,227],"performance":[20],"of":[21,67,104,181],"downstream":[22],"tasks.":[23],"While":[24],"convolutional":[25],"neural":[26],"networks":[27],"(CNNs)":[28],"Transformer":[30],"architectures":[31],"have":[32,176],"made":[33],"progress":[35],"computer":[37],"vision":[38],"tasks,":[39],"there":[40],"few":[42],"efforts":[43],"to":[44,62,99,149],"harmonize":[45],"them":[46],"into":[47],"a":[48,86,94,122],"more":[49],"concise":[50],"framework":[51],"for":[52,72],"enhancing":[53],"such":[54],"images.":[55],"To":[56,113],"this":[57,59],"end,":[58],"study":[60],"proposes":[61],"aggregate":[63],"individual":[65],"capability":[66],"self-attention":[68],"(SA)":[69],"CNNs":[71],"accurate":[73],"perturbation":[74],"removal":[75],"while":[76,109,230],"preserving":[77],"background":[78],"contents.":[79],"Based":[80],"on":[81,190,197,223],"this,":[82],"we":[83],"carry":[84],"forward":[85],"Retinex-based":[87],"framework,":[88],"dubbed":[89],"as":[90],"Mutual":[91,117,207],"Retinex,":[92],"where":[93],"two-branch":[95],"structure":[96],"is":[97,119],"designed":[98,130],"characterize":[100],"specific":[102],"knowledge":[103],"reflectance":[105,141],"illumination":[107,143],"components":[108,144],"removing":[110],"perturbation.":[112],"maximize":[114],"its":[115],"potential,":[116],"Retinex":[118,208],"equipped":[120],"with":[121,231],"new":[123],"mutual":[124,131,159,183],"learning":[125,156,184],"mechanism,":[126],"involving":[127],"an":[128],"elaborately":[129],"representation":[132],"module":[133],"(MRM).":[134],"In":[135,203],"MRM,":[136],"complementary":[138,155],"information":[139],"between":[140],"encoded":[146],"used":[148],"refine":[150],"each":[151],"other.":[152],"Through":[153],"via":[157],"representation,":[160],"enhanced":[162],"results":[163],"generated":[164],"our":[166,182,205],"model":[167,234],"exhibit":[168],"superior":[169],"color":[170],"consistency":[171],"naturalness.":[173],"Extensive":[174],"experiments":[175],"shown":[177],"superiority":[180],"based":[185],"method":[186,213],"over":[187],"thirteen":[188],"competitors":[189],"task":[193],"ten":[195],"methods":[196],"image":[200],"enhancement":[201],"task.":[202],"particular,":[204],"proposed":[206],"respectively":[209],"surpasses":[210],"state-of-the-art":[212],"MIRNet-v2":[214],"0.90":[216],"dB":[217,220],"2.46":[219],"PSNR":[222],"LOL":[225],"1000":[226],"FIVEK":[228],"datasets,":[229],"only":[232],"19.8%":[233],"parameters.":[235]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":25},{"year":2024,"cited_by_count":13}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}