{"id":"https://openalex.org/W4399205885","doi":"https://doi.org/10.1109/tcsvt.2024.3408007","title":"MPC-Net: Multi-Prior Collaborative Network for Low-Light Image Enhancement","display_name":"MPC-Net: Multi-Prior Collaborative Network for Low-Light Image Enhancement","publication_year":2024,"publication_date":"2024-05-31","ids":{"openalex":"https://openalex.org/W4399205885","doi":"https://doi.org/10.1109/tcsvt.2024.3408007"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2024.3408007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3408007","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5083922253","display_name":"Chunyan She","orcid":"https://orcid.org/0000-0001-8188-938X"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunyan She","raw_affiliation_strings":["Brain-Inspired Computing and Intelligent Control of Chongqing Key Laboratory, College of Artificial Intelligence, Southwest University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0001-8188-938X","affiliations":[{"raw_affiliation_string":"Brain-Inspired Computing and Intelligent Control of Chongqing Key Laboratory, College of Artificial Intelligence, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102837897","display_name":"Fujun Han","orcid":"https://orcid.org/0009-0000-6823-4645"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fujun Han","raw_affiliation_strings":["Brain-Inspired Computing and Intelligent Control of Chongqing Key Laboratory, College of Artificial Intelligence, Southwest University, Chongqing, China"],"raw_orcid":"https://orcid.org/0009-0000-6823-4645","affiliations":[{"raw_affiliation_string":"Brain-Inspired Computing and Intelligent Control of Chongqing Key Laboratory, College of Artificial Intelligence, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100640128","display_name":"Lidan Wang","orcid":"https://orcid.org/0000-0003-0730-4202"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lidan Wang","raw_affiliation_strings":["Brain-Inspired Computing and Intelligent Control of Chongqing Key Laboratory, National and Local Joint Engineering Laboratory of Intelligent Transmission and Control Technology, Chongqing Brain Science Collaborative Innovation Center, College of Artificial Intelligence, Southwest University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0003-0730-4202","affiliations":[{"raw_affiliation_string":"Brain-Inspired Computing and Intelligent Control of Chongqing Key Laboratory, National and Local Joint Engineering Laboratory of Intelligent Transmission and Control Technology, Chongqing Brain Science Collaborative Innovation Center, College of Artificial Intelligence, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035048973","display_name":"Shukai Duan","orcid":"https://orcid.org/0000-0002-0040-3796"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shukai Duan","raw_affiliation_strings":["Brain-Inspired Computing and Intelligent Control of Chongqing Key Laboratory, National and Local Joint Engineering Laboratory of Intelligent Transmission and Control Technology, Chongqing Brain Science Collaborative Innovation Center, College of Artificial Intelligence, Southwest University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-0040-3796","affiliations":[{"raw_affiliation_string":"Brain-Inspired Computing and Intelligent Control of Chongqing Key Laboratory, National and Local Joint Engineering Laboratory of Intelligent Transmission and Control Technology, Chongqing Brain Science Collaborative Innovation Center, College of Artificial Intelligence, Southwest University, Chongqing, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074290686","display_name":"Tingwen Huang","orcid":"https://orcid.org/0000-0001-9610-846X"},"institutions":[{"id":"https://openalex.org/I58152225","display_name":"Texas A&M University at Qatar","ror":"https://ror.org/03vb4dm14","country_code":"QA","type":"education","lineage":["https://openalex.org/I58152225","https://openalex.org/I91045830"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Tingwen Huang","raw_affiliation_strings":["Department of Mathematics, Texas A&M University, Doha, Qatar"],"raw_orcid":"https://orcid.org/0000-0001-9610-846X","affiliations":[{"raw_affiliation_string":"Department of Mathematics, Texas A&M University, Doha, Qatar","institution_ids":["https://openalex.org/I58152225"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.9049,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.96318902,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"34","issue":"10","first_page":"10385","last_page":"10398"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9894000291824341,"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":0.9894000291824341,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.961899995803833,"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9606000185012817,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.606529176235199},{"id":"https://openalex.org/keywords/image-enhancement","display_name":"Image enhancement","score":0.5116520524024963},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44969189167022705},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4246654808521271},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41397565603256226}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.606529176235199},{"id":"https://openalex.org/C3017601658","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image enhancement","level":3,"score":0.5116520524024963},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44969189167022705},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4246654808521271},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41397565603256226}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2024.3408007","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3408007","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.4099999964237213,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G3717965500","display_name":null,"funder_award_id":"62076207","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4084396767","display_name":null,"funder_award_id":"62076208","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G571593048","display_name":null,"funder_award_id":"U20A20227","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":67,"referenced_works":["https://openalex.org/W1580436348","https://openalex.org/W1964859077","https://openalex.org/W1987444808","https://openalex.org/W2010429712","https://openalex.org/W2016622085","https://openalex.org/W2046119925","https://openalex.org/W2054814429","https://openalex.org/W2099244020","https://openalex.org/W2116973876","https://openalex.org/W2121900453","https://openalex.org/W2125188192","https://openalex.org/W2133665775","https://openalex.org/W2141983208","https://openalex.org/W2150721269","https://openalex.org/W2194775991","https://openalex.org/W2254039850","https://openalex.org/W2508457857","https://openalex.org/W2555755671","https://openalex.org/W2566376500","https://openalex.org/W2780108394","https://openalex.org/W2905544033","https://openalex.org/W2922509574","https://openalex.org/W2962770929","https://openalex.org/W2962785568","https://openalex.org/W2962793481","https://openalex.org/W2963182372","https://openalex.org/W2963766909","https://openalex.org/W3011440129","https://openalex.org/W3035719652","https://openalex.org/W3088478528","https://openalex.org/W3093427603","https://openalex.org/W3105273993","https://openalex.org/W3121661546","https://openalex.org/W3125869362","https://openalex.org/W3127867299","https://openalex.org/W3154123740","https://openalex.org/W3156811085","https://openalex.org/W3193773061","https://openalex.org/W3199334903","https://openalex.org/W4205282138","https://openalex.org/W4213103270","https://openalex.org/W4214745154","https://openalex.org/W4225672218","https://openalex.org/W4283837736","https://openalex.org/W4285234777","https://openalex.org/W4312560884","https://openalex.org/W4312812783","https://openalex.org/W4313059954","https://openalex.org/W4317987763","https://openalex.org/W4319068851","https://openalex.org/W4324116694","https://openalex.org/W4377224336","https://openalex.org/W4382240242","https://openalex.org/W4382365354","https://openalex.org/W4382462760","https://openalex.org/W4386066362","https://openalex.org/W4386066507","https://openalex.org/W4386075800","https://openalex.org/W4387618786","https://openalex.org/W4387967967","https://openalex.org/W4389347891","https://openalex.org/W4390871817","https://openalex.org/W4390873076","https://openalex.org/W4390874206","https://openalex.org/W6637373629","https://openalex.org/W6754146604","https://openalex.org/W6794906783"],"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":{"Low-light":[0],"image":[1,8,56,67],"enhancement":[2],"aims":[3],"to":[4,64,77,92,115,122,141],"obtain":[5,93],"a":[6,14,47,70,88,103,112,127,134],"normal-light":[7],"by":[9],"adjusting":[10],"the":[11,24,33,60,124,143,152],"illumination":[12],"of":[13,35,107],"low-light":[15,29,55],"image.":[16],"The":[17],"existing":[18],"methods":[19],"do":[20],"not":[21],"fully":[22],"explore":[23],"prior":[25,62,146],"information":[26,63],"hidden":[27],"in":[28],"images,":[30],"which":[31,83],"raises":[32],"problems":[34],"detail":[36],"loss":[37],"and":[38,81,98,111,145,162],"color":[39,104,119,131],"distortion.":[40],"To":[41],"alleviate":[42],"these":[43],"issues,":[44],"we":[45,101],"propose":[46],"multi-prior":[48,136],"collaborative":[49],"network":[50],"(MPC-Net)":[51],"with":[52,126],"transformer":[53],"for":[54,96,117,130],"enhancement.":[57,68],"It":[58],"extracts":[59],"indispensable":[61],"facilitate":[65],"high-quality":[66],"Specifically,":[69],"pre-trained":[71],"high-level":[72],"vision":[73],"model":[74],"is":[75,84,139,168],"employed":[76],"extract":[78],"coarse":[79],"texture":[80,97],"structure,":[82],"then":[85],"refined":[86],"through":[87],"proposed":[89,153],"self-distillation":[90],"module":[91,138],"compact":[94],"representation":[95],"structure.":[99],"Furthermore,":[100],"design":[102],"branch":[105],"consisting":[106],"negative":[108],"residual":[109],"blocks":[110],"pyramid":[113],"structure":[114],"solve":[116],"noise-free":[118],"prior,":[120],"aiming":[121],"provide":[123],"enhancer":[125],"modeling":[128],"mechanism":[129],"information.":[132,147],"Finally,":[133],"transformer-based":[135],"fusion":[137],"developed":[140],"aggregate":[142],"content":[144],"Extensive":[148],"experiments":[149],"show":[150],"that":[151],"MPC-Net":[154],"achieves":[155],"superior":[156],"performance":[157],"on":[158],"three":[159],"referenced":[160],"datasets":[161],"four":[163],"no-referenced":[164],"datasets.":[165],"Our":[166],"code":[167],"available":[169],"at:":[170],"https://github.com/Shecyy/MPC-Net.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}