{"id":"https://openalex.org/W4387698002","doi":"https://doi.org/10.1145/3614008.3614043","title":"Maritime low-light image enhancement study based on improved ResUnet","display_name":"Maritime low-light image enhancement study based on improved ResUnet","publication_year":2023,"publication_date":"2023-07-14","ids":{"openalex":"https://openalex.org/W4387698002","doi":"https://doi.org/10.1145/3614008.3614043"},"language":"en","primary_location":{"id":"doi:10.1145/3614008.3614043","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3614008.3614043","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 6th International Conference on Signal Processing and Machine Learning (SPML)","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/A5006087963","display_name":"Jingyang Wang","orcid":"https://orcid.org/0009-0001-6199-8201"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyang Wang","raw_affiliation_strings":["Navigation College, Dalian Maritime University, China"],"raw_orcid":"https://orcid.org/0009-0001-6199-8201","affiliations":[{"raw_affiliation_string":"Navigation College, Dalian Maritime University, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063170334","display_name":"Mingyang Pan","orcid":"https://orcid.org/0000-0003-1327-6105"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyang Pan","raw_affiliation_strings":["Navigation College, Dalian Maritime University, China"],"raw_orcid":"https://orcid.org/0000-0003-1327-6105","affiliations":[{"raw_affiliation_string":"Navigation College, Dalian Maritime University, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070741963","display_name":"Ruolan Zhang","orcid":"https://orcid.org/0000-0001-6636-3734"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruolan Zhang","raw_affiliation_strings":["Navigation College, Dalian Maritime University, China"],"raw_orcid":"https://orcid.org/0000-0001-6636-3734","affiliations":[{"raw_affiliation_string":"Navigation College, Dalian Maritime University, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086547689","display_name":"Zongying Liu","orcid":"https://orcid.org/0000-0003-3658-3511"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongying Liu","raw_affiliation_strings":["Navigation College, Dalian Maritime University, China"],"raw_orcid":"https://orcid.org/0000-0003-3658-3511","affiliations":[{"raw_affiliation_string":"Navigation College, Dalian Maritime University, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034733148","display_name":"Shaoxi Li","orcid":"https://orcid.org/0000-0001-9394-6142"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoxi Li","raw_affiliation_strings":["Navigation College, Dalian Maritime University, China"],"raw_orcid":"https://orcid.org/0000-0001-9394-6142","affiliations":[{"raw_affiliation_string":"Navigation College, Dalian Maritime University, China","institution_ids":["https://openalex.org/I43313876"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I43313876"],"apc_list":null,"apc_paid":null,"fwci":0.1111,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41369788,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"221","last_page":"230"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9984999895095825,"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":0.9965999722480774,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7658010721206665},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.6507623195648193},{"id":"https://openalex.org/keywords/brightness","display_name":"Brightness","score":0.6385786533355713},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5996847748756409},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5995181202888489},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5233173370361328},{"id":"https://openalex.org/keywords/image-enhancement","display_name":"Image enhancement","score":0.48660528659820557},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.47596997022628784},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4581770598888397},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.43645596504211426}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7658010721206665},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.6507623195648193},{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.6385786533355713},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5996847748756409},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5995181202888489},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5233173370361328},{"id":"https://openalex.org/C3017601658","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image enhancement","level":3,"score":0.48660528659820557},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.47596997022628784},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4581770598888397},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.43645596504211426},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3614008.3614043","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3614008.3614043","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 6th International Conference on Signal Processing and Machine Learning (SPML)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","display_name":"Life below water","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1981276685","https://openalex.org/W2164847484","https://openalex.org/W2194775991","https://openalex.org/W2521424760","https://openalex.org/W2548865889","https://openalex.org/W2566376500","https://openalex.org/W2798278116","https://openalex.org/W2963725279","https://openalex.org/W2989834969","https://openalex.org/W3006415409","https://openalex.org/W3013533105","https://openalex.org/W3035731588","https://openalex.org/W3097830433","https://openalex.org/W3163925244","https://openalex.org/W3170697543","https://openalex.org/W3203113255","https://openalex.org/W4232225598","https://openalex.org/W6600195515","https://openalex.org/W6600260580","https://openalex.org/W6600339963","https://openalex.org/W6600662924","https://openalex.org/W6606942565"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2392812199","https://openalex.org/W4200176076","https://openalex.org/W598185802","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2127804977","https://openalex.org/W4320526406","https://openalex.org/W3211387963","https://openalex.org/W3212254418"],"abstract_inverted_index":{"Recent":[0],"years,":[1],"both":[2],"the":[3,11,33,38,62,70,74,90,97,113,123,128,135,144,151,155,158,164,172,177,183,196,204,216,222,225,235,240,244,247],"domestic":[4],"and":[5,23,46,64,88,139,150,171,193,198,251],"international":[6],"frontiers":[7],"made":[8],"headway":[9],"in":[10,32,73,163,195],"realm":[12],"of":[13,76,122,206,224,237,246,255],"intelligent":[14],"navigation":[15],"for":[16,126,234],"ships,":[17],"so":[18],"vision-based":[19],"ship":[20,248,256],"monitoring":[21,249,254],"systems":[22],"smart":[24],"ships":[25],"had":[26],"a":[27,231],"great":[28],"development":[29],"prospect.":[30],"However,":[31],"night-time":[34],"environment":[35],"at":[36,104,258,260],"sea,":[37],"images":[39,103],"usually":[40],"have":[41],"low":[42,44],"contrast,":[43],"visibility":[45],"generous":[47],"noise":[48],"splash.":[49],"Deep":[50],"learning":[51],"algorithms":[52,170],"are":[53],"affected":[54],"by":[55],"these":[56,80],"problems,":[57,81],"which":[58,111],"not":[59,219],"only":[60,220],"limit":[61],"detecting":[63],"recognizing":[65],"capability":[66],"but":[67,228],"also":[68,229],"bring":[69],"unstable":[71],"elements":[72],"aspect":[75],"safety.":[77],"To":[78],"solve":[79],"this":[82],"study":[83],"constructs":[84],"paired":[85],"Maritime-Low-Light":[86],"datasets":[87],"build":[89],"MLL-ResUnet":[91,241],"(Maritime":[92],"low-light-ResUnet)":[93],"model":[94,99,140,184,218,242],"based":[95],"on":[96,176],"ResUnet":[98],"to":[100,117,133,213],"enhance":[101],"nighttime":[102],"sea.":[105,261],"The":[106],"CurveNLU":[107],"module":[108,149],"is":[109,161,210],"designed,":[110],"adjusts":[112],"image":[114,124,129,136,168],"brightness":[115,125],"curve":[116],"make":[118],"an":[119],"adaptive":[120],"adjustment":[121],"achieving":[127],"enhancement":[130,169],"tasks.":[131],"Lastly,":[132],"consider":[134],"output":[137,226],"effect":[138],"light-weighting,":[141],"we":[142,180],"introduce":[143],"ORSnet":[145],"(Original":[146],"Resolution":[147],"Subnetwork)":[148],"GhostConv":[152],"module.":[153],"In":[154],"experimental":[156],"part,":[157],"MML":[159],"dataset":[160],"applied":[162],"several":[165],"other":[166,207],"state-of-the-art":[167],"proposed":[173,185,217],"algorithm.":[174],"Based":[175],"compared":[178],"results,":[179],"find":[181],"that":[182,215],"achieves":[186],"impressive":[187],"results.":[188],"Specifically,":[189],"it":[190],"scores":[191],"26.865":[192],"0.84":[194],"PSNR":[197],"SSMI":[199],"quality":[200],"evaluation":[201],"indexes,":[202],"surpassing":[203],"performance":[205],"algorithms.":[208],"There":[209],"strong":[211],"evidence":[212],"support":[214],"ensures":[221],"authenticity":[223],"image,":[227],"has":[230],"certain":[232],"guarantee":[233],"speed":[236],"calculation.":[238],"Overall,":[239],"meets":[243],"requirements":[245],"system":[250],"enables":[252],"real-time":[253],"movement":[257],"night":[259]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
