{"id":"https://openalex.org/W2334288826","doi":"https://doi.org/10.5244/c.29.125","title":"Hierarchical rank-based veiling light estimation for underwater dehazing","display_name":"Hierarchical rank-based veiling light estimation for underwater dehazing","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2334288826","doi":"https://doi.org/10.5244/c.29.125","mag":"2334288826"},"language":"en","primary_location":{"id":"doi:10.5244/c.29.125","is_oa":true,"landing_page_url":"https://doi.org/10.5244/c.29.125","pdf_url":"http://www.bmva.org/bmvc/2015/papers/paper125/abstract125.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedings of the British Machine Vision Conference 2015","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://www.bmva.org/bmvc/2015/papers/paper125/abstract125.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086974429","display_name":"Simon Emberton","orcid":"https://orcid.org/0000-0002-4665-4793"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Simon Emberton","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062244917","display_name":"Lars Ch\u0131ttka","orcid":"https://orcid.org/0000-0001-8153-1732"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lars Chittka","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5004087827","display_name":"Andrea Cavallaro","orcid":"https://orcid.org/0000-0001-5086-7858"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andrea Cavallaro","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5086974429"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.6154,"has_fulltext":false,"cited_by_count":94,"citation_normalized_percentile":{"value":0.97330356,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"125.1","last_page":"125.12"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.989799976348877,"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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/underwater","display_name":"Underwater","score":0.724685549736023},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6639262437820435},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6579707860946655},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5435760021209717},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5279423594474792},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48649662733078003},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.25298210978507996},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18087643384933472},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09371939301490784}],"concepts":[{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.724685549736023},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6639262437820435},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6579707860946655},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5435760021209717},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5279423594474792},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48649662733078003},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.25298210978507996},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18087643384933472},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09371939301490784},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5244/c.29.125","is_oa":true,"landing_page_url":"https://doi.org/10.5244/c.29.125","pdf_url":"http://www.bmva.org/bmvc/2015/papers/paper125/abstract125.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedings of the British Machine Vision Conference 2015","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.uwe.ac.uk:33622","is_oa":true,"landing_page_url":"http://eprints.uwe.ac.uk/33622/1/Hierarchical%20rank-based%20veiling%20light%20estimation%20for%20underwater%20dehazing.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306401464","display_name":"UWE Research Repository (UWE Bristol)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I178535277","host_organization_name":"University of the West of England","host_organization_lineage":["https://openalex.org/I178535277"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":{"id":"doi:10.5244/c.29.125","is_oa":true,"landing_page_url":"https://doi.org/10.5244/c.29.125","pdf_url":"http://www.bmva.org/bmvc/2015/papers/paper125/abstract125.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedings of the British Machine Vision Conference 2015","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","score":0.699999988079071,"display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2334288826.pdf","grobid_xml":"https://content.openalex.org/works/W2334288826.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1891287906","https://openalex.org/W2036807459","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2772917594","https://openalex.org/W2166024367","https://openalex.org/W2755342338","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2742702720"],"abstract_inverted_index":{"Current":[0],"dehazing":[1,28,123],"approaches":[2],"are":[3],"often":[4],"hindered":[5],"when":[6],"scenes":[7],"contain":[8],"bright":[9,47],"objects":[10],"which":[11,41],"can":[12],"cause":[13],"veiling":[14,35,65],"light":[15,36,66],"and":[16,37,59,92,94,127],"transmission":[17,38,76,97],"estimation":[18,39],"methods":[19],"to":[20,52,60,73,103,115],"fail.":[21],"This":[22],"paper":[23],"introduces":[24],"a":[25],"single":[26],"image":[27,58],"approach":[29,70,112],"for":[30,78],"underwater":[31,122],"images":[32],"with":[33,43,128],"novel":[34],"steps":[40],"deal":[42],"issues":[44],"arising":[45],"from":[46,82],"objects.":[48],"We":[49,84,106],"use":[50],"features":[51],"hierarchically":[53],"rank":[54],"regions":[55,88,101],"of":[56,110,118],"an":[57],"select":[61],"the":[62,96,108,116,119],"most":[63],"likely":[64],"candidate.":[67],"A":[68],"region-based":[69],"is":[71],"used":[72,130],"find":[74],"optimal":[75],"values":[77,98],"areas":[79],"that":[80],"suffer":[81],"oversaturation.":[83],"also":[85],"locate":[86],"background":[87],"through":[89,124],"superpixel":[90],"segmentation":[91],"clustering,":[93],"adapt":[95],"in":[99,113,121],"these":[100],"so":[102],"avoid":[104],"artefacts.":[105],"validate":[107],"performance":[109],"our":[111],"comparison":[114],"state":[117],"art":[120],"subjective":[125],"evaluation":[126],"commonly":[129],"quantitative":[131],"measures.":[132]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":19},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":13},{"year":2016,"cited_by_count":4}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
