{"id":"https://openalex.org/W4372348784","doi":"https://doi.org/10.1109/icassp49357.2023.10096454","title":"A Fusion-Based and Multi-Layer Method for Low Light Image Enhancement","display_name":"A Fusion-Based and Multi-Layer Method for Low Light Image Enhancement","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372348784","doi":"https://doi.org/10.1109/icassp49357.2023.10096454"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10096454","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10096454","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/A5006444784","display_name":"Xueyan Zhou","orcid":"https://orcid.org/0000-0003-1147-3754"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xueyan Zhou","raw_affiliation_strings":["Nankai University,School of Software Engineering,Tianjin,China","School of Software Engineering, Nankai University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Nankai University,School of Software Engineering,Tianjin,China","institution_ids":["https://openalex.org/I205237279"]},{"raw_affiliation_string":"School of Software Engineering, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056446555","display_name":"Jiacen Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiacen Guo","raw_affiliation_strings":["Nankai University,School of Software Engineering,Tianjin,China","School of Software Engineering, Nankai University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Nankai University,School of Software Engineering,Tianjin,China","institution_ids":["https://openalex.org/I205237279"]},{"raw_affiliation_string":"School of Software Engineering, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100458809","display_name":"Hao Liu","orcid":"https://orcid.org/0000-0002-4518-5235"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Liu","raw_affiliation_strings":["Nankai University,School of Software Engineering,Tianjin,China","School of Software Engineering, Nankai University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Nankai University,School of Software Engineering,Tianjin,China","institution_ids":["https://openalex.org/I205237279"]},{"raw_affiliation_string":"School of Software Engineering, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100406957","display_name":"Chao Wang","orcid":"https://orcid.org/0000-0002-1935-3020"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Wang","raw_affiliation_strings":["Nankai University,School of Software Engineering,Tianjin,China","School of Software Engineering, Nankai University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Nankai University,School of Software Engineering,Tianjin,China","institution_ids":["https://openalex.org/I205237279"]},{"raw_affiliation_string":"School of Software Engineering, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5006444784"],"corresponding_institution_ids":["https://openalex.org/I205237279"],"apc_list":null,"apc_paid":null,"fwci":0.1259,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.3728657,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"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":0.9984999895095825,"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":0.9980999827384949,"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/naturalness","display_name":"Naturalness","score":0.7661978006362915},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6335787773132324},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6289666295051575},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5839152932167053},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5713571906089783},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5635086297988892},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5274363160133362},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.5190266370773315},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5057716369628906},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5034963488578796},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4380873739719391},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3870055079460144},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33217477798461914},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.15965154767036438},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09198370575904846}],"concepts":[{"id":"https://openalex.org/C134537474","wikidata":"https://www.wikidata.org/wiki/Q17144832","display_name":"Naturalness","level":2,"score":0.7661978006362915},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6335787773132324},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6289666295051575},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5839152932167053},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5713571906089783},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5635086297988892},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5274363160133362},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.5190266370773315},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5057716369628906},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5034963488578796},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4380873739719391},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3870055079460144},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33217477798461914},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.15965154767036438},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09198370575904846},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10096454","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10096454","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":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1982471090","https://openalex.org/W1987444808","https://openalex.org/W2054814429","https://openalex.org/W2065268910","https://openalex.org/W2078101614","https://openalex.org/W2083610878","https://openalex.org/W2102166818","https://openalex.org/W2116674517","https://openalex.org/W2129948433","https://openalex.org/W2412926690","https://openalex.org/W2566376500","https://openalex.org/W2610602405","https://openalex.org/W2736326359","https://openalex.org/W2767356570","https://openalex.org/W2951051324","https://openalex.org/W2981718299","https://openalex.org/W3003838261","https://openalex.org/W3035279286","https://openalex.org/W3111901135","https://openalex.org/W3119525307","https://openalex.org/W3134649899","https://openalex.org/W3174792937","https://openalex.org/W4312249431"],"related_works":["https://openalex.org/W2788731446","https://openalex.org/W2204403038","https://openalex.org/W3152170969","https://openalex.org/W2379054866","https://openalex.org/W2549658594","https://openalex.org/W2095903272","https://openalex.org/W2370195708","https://openalex.org/W1490651872","https://openalex.org/W2139242969","https://openalex.org/W2284201331"],"abstract_inverted_index":{"The":[0,88],"results":[1,74],"obtained":[2],"by":[3,75],"many":[4],"current":[5],"low":[6,21],"light":[7,22],"image":[8,23,39,97],"enhancement":[9,24],"algorithms":[10],"exhibit":[11],"unnatural":[12],"effects":[13],"and":[14,29,42,60,100],"insufficient":[15],"contrast.":[16],"This":[17],"paper":[18],"proposes":[19],"a":[20,27,57],"algorithm":[25],"using":[26,50],"fusion-based":[28],"multi-layer":[30],"model.":[31],"We":[32],"decompose":[33,61],"the":[34,37,48,65,78,82],"illumination":[35,49],"of":[36,85],"input":[38],"into":[40],"high-frequency":[41],"low-frequency":[43],"components.":[44],"Then,":[45],"we":[46,71],"adjust":[47],"two":[51],"different":[52],"correcting":[53],"functions":[54],"based":[55],"on":[56],"priori":[58],"statistics":[59],"them":[62],"iteratively":[63],"until":[64],"final":[66],"distribution":[67],"is":[68],"uniform.":[69],"Finally,":[70],"obtain":[72],"enhanced":[73],"multiplying":[76],"all":[77],"decomposed":[79],"reflectance":[80],"with":[81],"last":[83],"layer":[84],"corrected":[86],"illumination.":[87],"experiments":[89],"show":[90],"that":[91],"our":[92],"proposed":[93],"method":[94],"achieves":[95],"excellent":[96],"naturalness,":[98],"contrast,":[99],"quality.":[101]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}