{"id":"https://openalex.org/W4375869469","doi":"https://doi.org/10.1109/icassp49357.2023.10096765","title":"Retiformer: Retinex-Based Enhancement In Transformer For Low-Light Image","display_name":"Retiformer: Retinex-Based Enhancement In Transformer For Low-Light Image","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4375869469","doi":"https://doi.org/10.1109/icassp49357.2023.10096765"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10096765","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp49357.2023.10096765","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-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/A5040914304","display_name":"Junxiang Ruan","orcid":"https://orcid.org/0009-0008-7908-0627"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junxiang Ruan","raw_affiliation_strings":["Tsinghua University,Shenzhen International Graduate School","Shenzhen International Graduate School, Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Shenzhen International Graduate School","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102789877","display_name":"Xiangtao Kong","orcid":"https://orcid.org/0000-0003-2963-806X"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangtao Kong","raw_affiliation_strings":["University of Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103277094","display_name":"Wenqi Huang","orcid":"https://orcid.org/0000-0002-4829-3223"},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqi Huang","raw_affiliation_strings":["Digital Grid Research Institute,China Southern Power Grid,Guangzhou,China","China Southern Power Grid, Digital Grid Research Institute, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Digital Grid Research Institute,China Southern Power Grid,Guangzhou,China","institution_ids":["https://openalex.org/I74872605"]},{"raw_affiliation_string":"China Southern Power Grid, Digital Grid Research Institute, Guangzhou, China","institution_ids":["https://openalex.org/I74872605"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026184280","display_name":"Wenming Yang","orcid":"https://orcid.org/0000-0002-2506-1286"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenming Yang","raw_affiliation_strings":["Tsinghua University,Shenzhen International Graduate School","Shenzhen International Graduate School, Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Shenzhen International Graduate School","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Shenzhen International Graduate School, Tsinghua University","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7859,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.73362519,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9976999759674072,"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/color-constancy","display_name":"Color constancy","score":0.8914326429367065},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6643887162208557},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6506207585334778},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6104861497879028},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.596541702747345},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1932985782623291},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15597429871559143},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.09510308504104614}],"concepts":[{"id":"https://openalex.org/C187888035","wikidata":"https://www.wikidata.org/wiki/Q2563885","display_name":"Color constancy","level":3,"score":0.8914326429367065},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6643887162208557},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6506207585334778},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6104861497879028},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.596541702747345},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1932985782623291},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15597429871559143},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.09510308504104614},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10096765","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp49357.2023.10096765","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2011592399","https://openalex.org/W2054814429","https://openalex.org/W2061501622","https://openalex.org/W2113350594","https://openalex.org/W2412926690","https://openalex.org/W2468596194","https://openalex.org/W2566376500","https://openalex.org/W2949187370","https://openalex.org/W3035731588","https://openalex.org/W3119525307","https://openalex.org/W3120540810","https://openalex.org/W3138516171","https://openalex.org/W3171125843","https://openalex.org/W3174792937","https://openalex.org/W4230472795","https://openalex.org/W4312725970","https://openalex.org/W4312812783","https://openalex.org/W4385245566","https://openalex.org/W6656529242","https://openalex.org/W6665943038","https://openalex.org/W6739901393","https://openalex.org/W6754146604","https://openalex.org/W6787656583"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2772917594","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398","https://openalex.org/W2775347418"],"abstract_inverted_index":{"Transformer-based":[0,95],"methods":[1],"have":[2],"shown":[3],"impressive":[4],"potential":[5],"in":[6,24],"many":[7],"low-level":[8],"vision":[9],"tasks":[10],"but":[11],"are":[12],"rarely":[13],"used":[14],"for":[15],"low-light":[16],"image":[17],"enhancement":[18],"(LLIE).":[19],"Direct":[20],"use":[21],"of":[22,42,93,117,126],"Transformer":[23,118],"LLIE":[25],"will":[26,67],"bring":[27],"unnatural":[28],"visual":[29],"effects.":[30],"This":[31],"phenomenon":[32],"encourages":[33],"us":[34],"to":[35,37],"attempt":[36],"learn":[38],"from":[39],"the":[40,72,76,89,102,115],"theory":[41,121],"Retinex.":[43],"After":[44],"trial":[45],"and":[46,57,84,91,100,104,119,122],"analysis,":[47],"we":[48,78],"finally":[49],"propose":[50],"Retiformer.":[51],"Retiformer":[52,113],"decomposes":[53],"images":[54],"into":[55],"reflectance":[56],"illumination":[58,105],"attention":[59,73],"maps":[60],"by":[61],"Retinex":[62,120],"Window":[63],"Self-Attention":[64],"(R-WSA).":[65],"It":[66],"replace":[68],"element-wise":[69],"multiplication":[70],"with":[71],"mechanism.":[74],"By":[75],"R-WSA,":[77],"respectively":[79],"apply":[80],"a":[81,94],"Decom-Retiformer":[82],"block":[83,87],"an":[85],"Enhance-Retiformer":[86],"at":[88],"head":[90],"tail":[92],"backbone.":[96],"They":[97],"can":[98],"decompose":[99],"align":[101],"reflection":[103],"components":[106],"just":[107],"like":[108],"RetinexNet.":[109],"With":[110],"this":[111],"pipeline,":[112],"combines":[114],"advantages":[116],"achieves":[123],"state-of-the-art":[124],"performance":[125],"Retinex-based":[127],"methods.":[128]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
