{"id":"https://openalex.org/W4366380706","doi":"https://doi.org/10.1145/3584376.3584477","title":"Underwater Image Enhancement Based on Color Different Attenuation","display_name":"Underwater Image Enhancement Based on Color Different Attenuation","publication_year":2022,"publication_date":"2022-12-16","ids":{"openalex":"https://openalex.org/W4366380706","doi":"https://doi.org/10.1145/3584376.3584477"},"language":"en","primary_location":{"id":"doi:10.1145/3584376.3584477","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3584376.3584477","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence","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/A5101839465","display_name":"Chao Liu","orcid":"https://orcid.org/0000-0002-2925-6750"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chao Liu","raw_affiliation_strings":["Beijing Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042924934","display_name":"Lili Wang","orcid":"https://orcid.org/0000-0001-9998-0958"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lili Wang","raw_affiliation_strings":["Beijing Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052057343","display_name":"Tenghui Wang","orcid":"https://orcid.org/0000-0003-1605-4153"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tenghui Wang","raw_affiliation_strings":["Beijing Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027455339","display_name":"Jialin Tang","orcid":"https://orcid.org/0000-0001-9806-451X"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jialin Tang","raw_affiliation_strings":["Key Laboratory of Intelligent Detection in Complex Environment of Aerospace Land and Sea, Beijing Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Detection in Complex Environment of Aerospace Land and Sea, Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037708878","display_name":"Zefeng Zhao","orcid":"https://orcid.org/0000-0002-5859-2622"},"institutions":[{"id":"https://openalex.org/I6469544","display_name":"City University of Macau","ror":"https://ror.org/04gpd4q15","country_code":"MO","type":"education","lineage":["https://openalex.org/I6469544"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Zengfeng Zhao","raw_affiliation_strings":["City University of Macau, China"],"affiliations":[{"raw_affiliation_string":"City University of Macau, China","institution_ids":["https://openalex.org/I6469544"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013967667","display_name":"Yunting Lai","orcid":"https://orcid.org/0000-0003-0770-4847"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunting Lai","raw_affiliation_strings":["Beijing Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101839465"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17008249,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"564","last_page":"570"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9986000061035156,"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":0.998199999332428,"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":0.7704565525054932},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6917621493339539},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6747850775718689},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6682249307632446},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6645662784576416},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.6487361192703247},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5936079025268555},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5435085892677307},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.5065940618515015},{"id":"https://openalex.org/keywords/false-color","display_name":"False color","score":0.48758453130722046},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.4583451449871063},{"id":"https://openalex.org/keywords/attenuation","display_name":"Attenuation","score":0.45183879137039185},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.44411128759384155},{"id":"https://openalex.org/keywords/chromatic-aberration","display_name":"Chromatic aberration","score":0.4395333230495453},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42457273602485657},{"id":"https://openalex.org/keywords/chromatic-scale","display_name":"Chromatic scale","score":0.38274848461151123},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.26671579480171204},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.24632138013839722},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.15386900305747986},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09291982650756836},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.076515793800354}],"concepts":[{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.7704565525054932},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6917621493339539},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6747850775718689},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6682249307632446},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6645662784576416},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.6487361192703247},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5936079025268555},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5435085892677307},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.5065940618515015},{"id":"https://openalex.org/C173285193","wikidata":"https://www.wikidata.org/wiki/Q519022","display_name":"False color","level":5,"score":0.48758453130722046},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.4583451449871063},{"id":"https://openalex.org/C184652730","wikidata":"https://www.wikidata.org/wiki/Q2357982","display_name":"Attenuation","level":2,"score":0.45183879137039185},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.44411128759384155},{"id":"https://openalex.org/C87367554","wikidata":"https://www.wikidata.org/wiki/Q1087688","display_name":"Chromatic aberration","level":3,"score":0.4395333230495453},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42457273602485657},{"id":"https://openalex.org/C196956537","wikidata":"https://www.wikidata.org/wiki/Q202021","display_name":"Chromatic scale","level":2,"score":0.38274848461151123},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.26671579480171204},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.24632138013839722},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.15386900305747986},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09291982650756836},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.076515793800354},{"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:10.1145/3584376.3584477","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3584376.3584477","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1990592195","https://openalex.org/W2059686984","https://openalex.org/W2118197964","https://openalex.org/W2164661013","https://openalex.org/W2181646778","https://openalex.org/W2495682009","https://openalex.org/W2763503841","https://openalex.org/W2979671125","https://openalex.org/W2990176100","https://openalex.org/W3006777311","https://openalex.org/W3107157315","https://openalex.org/W3135971978","https://openalex.org/W4205318208","https://openalex.org/W6600003358","https://openalex.org/W6600018615","https://openalex.org/W6601048975"],"related_works":["https://openalex.org/W2166874161","https://openalex.org/W2127700059","https://openalex.org/W2029591773","https://openalex.org/W2496904690","https://openalex.org/W2169321544","https://openalex.org/W2052518016","https://openalex.org/W2601836025","https://openalex.org/W313422068","https://openalex.org/W1573077480","https://openalex.org/W2131104905"],"abstract_inverted_index":{"Underwater":[0],"images":[1],"play":[2],"a":[3,65],"very":[4],"important":[5],"role":[6],"in":[7,15,42,151],"projects":[8],"related":[9],"to":[10,50,115,138],"the":[11,16,19,24,31,34,52,56,61,70,83,87,91,95,99,104,108,118,122,128,131,134,140,144,152,167],"underwater":[12,17,57,154],"environment.":[13],"But":[14],"environment,":[18],"R":[20,123],"channel":[21,97],"attenuation":[22],"of":[23,33,44,55,72,94,98,107,121,130,143,169],"RGB":[25,96],"image":[26,35,58,80,100],"and":[27,46,59,79,90,102,157,172],"other":[28],"reasons":[29],"make":[30],"quality":[32],"significantly":[36],"different":[37],"from":[38],"that":[39,161],"on":[40,69,82],"land":[41],"terms":[43],"color":[45,142],"clarity.":[47],"In":[48],"order":[49],"correct":[51],"chromatic":[53,170],"aberration":[54,171],"improve":[60],"clarity,":[62],"we":[63,75,126],"propose":[64],"DAC":[66],"method":[67,163],"based":[68],"compensation":[71],"difference.":[73],"First,":[74],"perform":[76],"contrast":[77],"stretching":[78],"denoising":[81],"image.":[84],"Then":[85],"extract":[86],"details":[88,129],"layer":[89,93,106,120],"base":[92],"respectively,":[101],"use":[103],"detail":[105,119],"G,":[109],"B":[110],"channels":[111],"with":[112,148],"more":[113],"information":[114],"compensate":[116],"for":[117],"channel.":[124],"Finally,":[125],"optimize":[127],"picture":[132],"through":[133],"grayscale":[135],"world":[136],"algorithm":[137],"obtain":[139],"true":[141],"picture.":[145],"We":[146],"compared":[147],"various":[149],"methods":[150],"public":[153],"dataset":[155],"UIEB,":[156],"it":[158],"turns":[159],"out":[160],"our":[162],"can":[164],"well":[165],"solve":[166],"problems":[168],"blur.":[173]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}