{"id":"https://openalex.org/W7147030046","doi":"https://doi.org/10.1109/icvisp68610.2025.11451757","title":"Archives of Low-Illumination Image Enhancement Methods Based on Generative Adversarial Networks","display_name":"Archives of Low-Illumination Image Enhancement Methods Based on Generative Adversarial Networks","publication_year":2025,"publication_date":"2025-11-28","ids":{"openalex":"https://openalex.org/W7147030046","doi":"https://doi.org/10.1109/icvisp68610.2025.11451757"},"language":null,"primary_location":{"id":"doi:10.1109/icvisp68610.2025.11451757","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icvisp68610.2025.11451757","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 9th International Conference on Vision, Image and Signal Processing (ICVISP)","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/A5061421715","display_name":"W. J. Wang","orcid":"https://orcid.org/0009-0001-8008-7825"},"institutions":[{"id":"https://openalex.org/I66883779","display_name":"Weifang University","ror":"https://ror.org/01frp7483","country_code":"CN","type":"education","lineage":["https://openalex.org/I66883779"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wencheng Wang","raw_affiliation_strings":["Weifang University,School of Mechanical and Automation,Weifang,China"],"affiliations":[{"raw_affiliation_string":"Weifang University,School of Mechanical and Automation,Weifang,China","institution_ids":["https://openalex.org/I66883779"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080760449","display_name":"Xiaowei Lan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210099312","display_name":"Shandong Jiaotong University","ror":"https://ror.org/01848hk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaowei Lan","raw_affiliation_strings":["Shandong Jiaotong University,School of Information Science and Electrical Engineering,Jinan,China"],"affiliations":[{"raw_affiliation_string":"Shandong Jiaotong University,School of Information Science and Electrical Engineering,Jinan,China","institution_ids":["https://openalex.org/I4210099312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075068154","display_name":"Guodong Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136047","display_name":"Weifang University of Science and Technology","ror":"https://ror.org/04ha2bb10","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136047"]},{"id":"https://openalex.org/I4210153682","display_name":"Intelligent Health (United Kingdom)","ror":"https://ror.org/0576zak10","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210153682"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Guodong Zheng","raw_affiliation_strings":["Shandong Aolang Intelligent Technology Co., Ltd,Weifang,China"],"affiliations":[{"raw_affiliation_string":"Shandong Aolang Intelligent Technology Co., Ltd,Weifang,China","institution_ids":["https://openalex.org/I4210136047","https://openalex.org/I4210153682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132670643","display_name":"Chenghao Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I66883779","display_name":"Weifang University","ror":"https://ror.org/01frp7483","country_code":"CN","type":"education","lineage":["https://openalex.org/I66883779"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenghao Liu","raw_affiliation_strings":["Weifang University,School of Mechanical and Automation,Weifang,China"],"affiliations":[{"raw_affiliation_string":"Weifang University,School of Mechanical and Automation,Weifang,China","institution_ids":["https://openalex.org/I66883779"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132670315","display_name":"Ruiguo Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116552","display_name":"Boxing People's Hospital","ror":"https://ror.org/02ahp7e62","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210116552"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiguo Wang","raw_affiliation_strings":["Shandong Kaitai Shot Blasting Machine Co. Ltd.,Binzhou,China"],"affiliations":[{"raw_affiliation_string":"Shandong Kaitai Shot Blasting Machine Co. Ltd.,Binzhou,China","institution_ids":["https://openalex.org/I4210116552"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102826660","display_name":"Weikai He","orcid":"https://orcid.org/0000-0002-1246-1627"},"institutions":[{"id":"https://openalex.org/I4210099312","display_name":"Shandong Jiaotong University","ror":"https://ror.org/01848hk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210099312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weikai He","raw_affiliation_strings":["Shandong Jiaotong University,School of Information Science and Electrical Engineering,Jinan,China"],"affiliations":[{"raw_affiliation_string":"Shandong Jiaotong University,School of Information Science and Electrical Engineering,Jinan,China","institution_ids":["https://openalex.org/I4210099312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132708004","display_name":"Dongfeng Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongfeng Li","raw_affiliation_strings":["Beijing Zowee Intelligence Technology Co., Ltd,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beijing Zowee Intelligence Technology Co., Ltd,Beijing,China","institution_ids":["https://openalex.org/I4210100255"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107942398","display_name":"Muwei Jian","orcid":null},"institutions":[{"id":"https://openalex.org/I59483232","display_name":"Shandong University of Finance and Economics","ror":"https://ror.org/02e2nnq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I59483232"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Muwei Jian","raw_affiliation_strings":["Shandong University of Finance and Economics,Jinan,China"],"affiliations":[{"raw_affiliation_string":"Shandong University of Finance and Economics,Jinan,China","institution_ids":["https://openalex.org/I59483232"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5061421715"],"corresponding_institution_ids":["https://openalex.org/I66883779"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.74849941,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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":0.9589999914169312,"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":0.9589999914169312,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.013100000098347664,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.006500000134110451,"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/adversarial-system","display_name":"Adversarial system","score":0.6499000191688538},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5559999942779541},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5498999953269958},{"id":"https://openalex.org/keywords/image-enhancement","display_name":"Image enhancement","score":0.5095000267028809},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4991999864578247},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42570000886917114},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.40939998626708984}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6565999984741211},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6499000191688538},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5637000203132629},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5559999942779541},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5498999953269958},{"id":"https://openalex.org/C3017601658","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image enhancement","level":3,"score":0.5095000267028809},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4991999864578247},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42570000886917114},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.40939998626708984},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.37779998779296875},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.3580000102519989},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.34150001406669617},{"id":"https://openalex.org/C177454536","wikidata":"https://www.wikidata.org/wiki/Q578290","display_name":"Emphasis (telecommunications)","level":2,"score":0.3393000066280365},{"id":"https://openalex.org/C2987933465","wikidata":"https://www.wikidata.org/wiki/Q141130","display_name":"Image manipulation","level":3,"score":0.31630000472068787},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.3156000077724457},{"id":"https://openalex.org/C2989087649","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Image synthesis","level":3,"score":0.2784999907016754},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.27459999918937683},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2671999931335449},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.266400009393692}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icvisp68610.2025.11451757","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icvisp68610.2025.11451757","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 9th International Conference on Vision, Image and Signal Processing (ICVISP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null},{"id":"https://openalex.org/F4320337495","display_name":"Technology Development","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2025328853","https://openalex.org/W2566376500","https://openalex.org/W2736611505","https://openalex.org/W2783573276","https://openalex.org/W2799265886","https://openalex.org/W2944122461","https://openalex.org/W2963684405","https://openalex.org/W2963766909","https://openalex.org/W2986422266","https://openalex.org/W2998334235","https://openalex.org/W3022336857","https://openalex.org/W3117250810","https://openalex.org/W3119525307","https://openalex.org/W3121661546","https://openalex.org/W3174736715","https://openalex.org/W4200379737","https://openalex.org/W4226157755","https://openalex.org/W4281718770","https://openalex.org/W4310138363","https://openalex.org/W4321227345","https://openalex.org/W4380682181","https://openalex.org/W4381490500","https://openalex.org/W4382680994","https://openalex.org/W4383904755","https://openalex.org/W4385630571","https://openalex.org/W4386590418","https://openalex.org/W4386965065","https://openalex.org/W4387580039","https://openalex.org/W4388793784","https://openalex.org/W4401461698","https://openalex.org/W4407319212","https://openalex.org/W4409371699"],"related_works":[],"abstract_inverted_index":{"Images":[0],"taken":[1],"under":[2],"poor":[3],"lighting":[4],"conditions":[5],"typically":[6],"exhibit":[7],"suboptimal":[8],"quality,":[9],"characterized":[10],"by":[11,94],"low":[12],"brightness":[13],"and":[14,54,71,74,99],"diminished":[15],"contrast.":[16],"The":[17],"enhancement":[18,97],"of":[19,26,37,110,117],"such":[20],"images":[21],"remains":[22],"a":[23,34],"pivotal":[24],"area":[25],"investigation":[27],"within":[28],"image":[29,46,96],"processing.":[30],"This":[31],"paper":[32,87],"provides":[33,100],"systematic":[35],"review":[36],"recent":[38],"progress":[39],"in":[40,80],"deep":[41],"learning-based":[42],"methods":[43],"for":[44,113],"low-light":[45],"enhancement.":[47],"Particular":[48],"emphasis":[49],"is":[50],"placed":[51],"on":[52,84,103],"categorizing":[53],"discussing":[55],"the":[56,86,89,108,114],"diverse":[57],"approaches":[58],"that":[59],"utilize":[60],"Generative":[61],"Adversarial":[62],"Networks":[63],"(GANs).":[64],"It":[65],"delves":[66],"into":[67],"their":[68],"core":[69,90],"principles":[70],"model":[72],"characteristics,":[73],"lists":[75],"commonly":[76],"used":[77],"benchmark":[78],"datasets":[79],"this":[81,118],"field.":[82,119],"Based":[83],"this,":[85],"summarizes":[88],"challenges":[91],"currently":[92],"faced":[93],"lowillumination":[95],"technology":[98],"an":[101],"outlook":[102],"future":[104],"research":[105],"trends,":[106],"with":[107],"hope":[109],"providing":[111],"insights":[112],"continuous":[115],"development":[116]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-04-02T00:00:00"}