{"id":"https://openalex.org/W4388117849","doi":"https://doi.org/10.23919/eusipco58844.2023.10289765","title":"Underwater Image Dehazing via Red-Channel Recovery","display_name":"Underwater Image Dehazing via Red-Channel Recovery","publication_year":2023,"publication_date":"2023-09-04","ids":{"openalex":"https://openalex.org/W4388117849","doi":"https://doi.org/10.23919/eusipco58844.2023.10289765"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco58844.2023.10289765","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco58844.2023.10289765","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 31st European Signal Processing Conference (EUSIPCO)","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":null,"display_name":"Elif Duygu Petenkaya","orcid":null},"institutions":[{"id":"https://openalex.org/I15059493","display_name":"\u0130zmir University of Economics","ror":"https://ror.org/04hjr4202","country_code":"TR","type":"education","lineage":["https://openalex.org/I15059493"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Elif Duygu Petenkaya","raw_affiliation_strings":["Izmir University of Economics,Izmir,Turkey","Izmir University of Economics, Izmir, Turkey"],"affiliations":[{"raw_affiliation_string":"Izmir University of Economics,Izmir,Turkey","institution_ids":["https://openalex.org/I15059493"]},{"raw_affiliation_string":"Izmir University of Economics, Izmir, Turkey","institution_ids":["https://openalex.org/I15059493"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ozge Basak Lacin","orcid":null},"institutions":[{"id":"https://openalex.org/I15059493","display_name":"\u0130zmir University of Economics","ror":"https://ror.org/04hjr4202","country_code":"TR","type":"education","lineage":["https://openalex.org/I15059493"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Ozge Basak Lacin","raw_affiliation_strings":["Izmir University of Economics,Izmir,Turkey","Izmir University of Economics, Izmir, Turkey"],"affiliations":[{"raw_affiliation_string":"Izmir University of Economics,Izmir,Turkey","institution_ids":["https://openalex.org/I15059493"]},{"raw_affiliation_string":"Izmir University of Economics, Izmir, Turkey","institution_ids":["https://openalex.org/I15059493"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106697570","display_name":"Omer Faruk Kara","orcid":null},"institutions":[{"id":"https://openalex.org/I15059493","display_name":"\u0130zmir University of Economics","ror":"https://ror.org/04hjr4202","country_code":"TR","type":"education","lineage":["https://openalex.org/I15059493"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Omer Faruk Kara","raw_affiliation_strings":["Izmir University of Economics,Izmir,Turkey","Izmir University of Economics, Izmir, Turkey"],"affiliations":[{"raw_affiliation_string":"Izmir University of Economics,Izmir,Turkey","institution_ids":["https://openalex.org/I15059493"]},{"raw_affiliation_string":"Izmir University of Economics, Izmir, Turkey","institution_ids":["https://openalex.org/I15059493"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037151051","display_name":"Mehmet T\u00fcrkan","orcid":"https://orcid.org/0000-0002-9780-9249"},"institutions":[{"id":"https://openalex.org/I15059493","display_name":"\u0130zmir University of Economics","ror":"https://ror.org/04hjr4202","country_code":"TR","type":"education","lineage":["https://openalex.org/I15059493"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Mehmet Turkan","raw_affiliation_strings":["Izmir University of Economics,Izmir,Turkey","Izmir University of Economics, Izmir, Turkey"],"affiliations":[{"raw_affiliation_string":"Izmir University of Economics,Izmir,Turkey","institution_ids":["https://openalex.org/I15059493"]},{"raw_affiliation_string":"Izmir University of Economics, Izmir, Turkey","institution_ids":["https://openalex.org/I15059493"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I15059493"],"apc_list":null,"apc_paid":null,"fwci":0.2456,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.53774173,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"531","last_page":"535"},"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":0.9995999932289124,"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":0.9936000108718872,"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/underwater","display_name":"Underwater","score":0.7832504510879517},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.7254448533058167},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.7243585586547852},{"id":"https://openalex.org/keywords/color-balance","display_name":"Color balance","score":0.7162899374961853},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7143089771270752},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7134321928024292},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7003287076950073},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.5586691498756409},{"id":"https://openalex.org/keywords/image-enhancement","display_name":"Image enhancement","score":0.5059854388237},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.503511369228363},{"id":"https://openalex.org/keywords/color-correction","display_name":"Color correction","score":0.4978630542755127},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4810905158519745},{"id":"https://openalex.org/keywords/gamma-correction","display_name":"Gamma correction","score":0.4691663682460785},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.4689844250679016},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.42545533180236816},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.23595818877220154},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.16222184896469116},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10313406586647034}],"concepts":[{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.7832504510879517},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.7254448533058167},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.7243585586547852},{"id":"https://openalex.org/C159784718","wikidata":"https://www.wikidata.org/wiki/Q182571","display_name":"Color balance","level":5,"score":0.7162899374961853},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7143089771270752},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7134321928024292},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7003287076950073},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.5586691498756409},{"id":"https://openalex.org/C3017601658","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image enhancement","level":3,"score":0.5059854388237},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.503511369228363},{"id":"https://openalex.org/C2779495555","wikidata":"https://www.wikidata.org/wiki/Q5148596","display_name":"Color correction","level":3,"score":0.4978630542755127},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4810905158519745},{"id":"https://openalex.org/C17916492","wikidata":"https://www.wikidata.org/wiki/Q1144257","display_name":"Gamma correction","level":3,"score":0.4691663682460785},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.4689844250679016},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.42545533180236816},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.23595818877220154},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.16222184896469116},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10313406586647034},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/eusipco58844.2023.10289765","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco58844.2023.10289765","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 31st European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W311546207","https://openalex.org/W1644173899","https://openalex.org/W1974907241","https://openalex.org/W1978917654","https://openalex.org/W1998393535","https://openalex.org/W2037328649","https://openalex.org/W2069734445","https://openalex.org/W2081140338","https://openalex.org/W2128254161","https://openalex.org/W2132746638","https://openalex.org/W2145885328","https://openalex.org/W2181646778","https://openalex.org/W2474516010","https://openalex.org/W2761665234","https://openalex.org/W2763503841","https://openalex.org/W2778341433","https://openalex.org/W2952268784","https://openalex.org/W2955922433","https://openalex.org/W3037564611","https://openalex.org/W3108682998","https://openalex.org/W3164503920","https://openalex.org/W6720976276","https://openalex.org/W6744887328"],"related_works":["https://openalex.org/W2515115425","https://openalex.org/W3186568567","https://openalex.org/W2091607703","https://openalex.org/W2398105476","https://openalex.org/W2008342994","https://openalex.org/W2981794609","https://openalex.org/W1756265274","https://openalex.org/W2536139236","https://openalex.org/W4309545024","https://openalex.org/W2710635687"],"abstract_inverted_index":{"Due":[0],"to":[1,30,40,83,87,108,131,153],"light":[2],"scattering":[3],"and":[4,14,22,37,39,124,149],"absorption":[5],"while":[6],"traveling":[7],"through":[8],"water,":[9],"underwater":[10,59,142],"images":[11,143],"become":[12],"hazy":[13],"loose":[15],"critical":[16],"information":[17,90],"resulting":[18],"in":[19,44],"poor":[20],"contrast":[21,133],"weak":[23],"color":[24,78],"performance.":[25],"Hence,":[26],"it":[27],"is":[28,115],"difficult":[29],"see":[31],"the":[32,42,65,68,84,92,105,112,118,135],"difference":[33],"between":[34],"foreground":[35],"colors":[36],"items,":[38],"differentiate":[41],"background":[43],"these":[45,49,101],"images.":[46],"To":[47],"solve":[48],"issues,":[50],"this":[51],"study":[52],"proposes":[53],"a":[54,72],"novel":[55],"technique":[56],"for":[57],"single":[58],"image":[60,86,107],"enhancement":[61],"which":[62],"relies":[63],"on":[64],"recovery":[66],"of":[67,104,134],"lost":[69],"red-channel":[70],"via":[71],"weighted":[73],"multi-scale":[74],"fusion.":[75],"Firstly,":[76],"three":[77],"balance":[79],"algorithms":[80],"are":[81,98],"applied":[82],"input":[85,106],"gain":[88],"more":[89],"about":[91],"scene.":[93],"Then,":[94],"five":[95],"weight":[96],"maps":[97],"extracted":[99],"from":[100],"balanced":[102,122],"versions":[103],"emphasize":[109],"fine-details.":[110],"Finally,":[111],"enhanced":[113],"output":[114],"obtained":[116],"with":[117],"new":[119],"red-channel,":[120],"white":[121],"green":[123],"blue":[125],"channels":[126],"followed":[127],"by":[128],"gamma":[129],"correction":[130],"maintain":[132],"image.":[136],"The":[137],"developed":[138],"method":[139],"produces":[140],"higher-quality":[141],"that":[144],"can":[145],"be":[146],"evaluated":[147],"qualitatively":[148],"quantitatively":[150],"when":[151],"compared":[152],"state-of-the-art":[154],"approaches.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
