{"id":"https://openalex.org/W2787306367","doi":"https://doi.org/10.1109/apsipa.2017.8282259","title":"Gradient-based contrast enhancement and color correction for underwater images","display_name":"Gradient-based contrast enhancement and color correction for underwater images","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2787306367","doi":"https://doi.org/10.1109/apsipa.2017.8282259","mag":"2787306367"},"language":"en","primary_location":{"id":"doi:10.1109/apsipa.2017.8282259","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2017.8282259","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5035463758","display_name":"Eunpil Park","orcid":"https://orcid.org/0000-0002-1820-9078"},"institutions":[{"id":"https://openalex.org/I48566637","display_name":"Ulsan National Institute of Science and Technology","ror":"https://ror.org/017cjz748","country_code":"KR","type":"education","lineage":["https://openalex.org/I48566637"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Eunpil Park","raw_affiliation_strings":["School of Electrical and Computer Engineering, UNIST, Ulsan, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, UNIST, Ulsan, Korea","institution_ids":["https://openalex.org/I48566637"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073397129","display_name":"Jae-Young Sim","orcid":"https://orcid.org/0000-0003-2636-7444"},"institutions":[{"id":"https://openalex.org/I48566637","display_name":"Ulsan National Institute of Science and Technology","ror":"https://ror.org/017cjz748","country_code":"KR","type":"education","lineage":["https://openalex.org/I48566637"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jae-Young Sim","raw_affiliation_strings":["School of Electrical and Computer Engineering, UNIST, Ulsan, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, UNIST, Ulsan, Korea","institution_ids":["https://openalex.org/I48566637"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I48566637"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"1444","last_page":"1447"},"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":0.9984999895095825,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9983000159263611,"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":0.7988190650939941},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7530041933059692},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7389389276504517},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.6681333780288696},{"id":"https://openalex.org/keywords/image-gradient","display_name":"Image gradient","score":0.6212550401687622},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6128913164138794},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5681724548339844},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5494227409362793},{"id":"https://openalex.org/keywords/color-correction","display_name":"Color correction","score":0.5093065500259399},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5021336078643799},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.4843927025794983},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.47016164660453796},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.27367639541625977},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.10594651103019714}],"concepts":[{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.7988190650939941},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7530041933059692},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7389389276504517},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.6681333780288696},{"id":"https://openalex.org/C182037307","wikidata":"https://www.wikidata.org/wiki/Q17039097","display_name":"Image gradient","level":5,"score":0.6212550401687622},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6128913164138794},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5681724548339844},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5494227409362793},{"id":"https://openalex.org/C2779495555","wikidata":"https://www.wikidata.org/wiki/Q5148596","display_name":"Color correction","level":3,"score":0.5093065500259399},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5021336078643799},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.4843927025794983},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.47016164660453796},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.27367639541625977},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.10594651103019714},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/apsipa.2017.8282259","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2017.8282259","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarworks.unist.ac.kr:201301/35231","is_oa":false,"landing_page_url":"https://ieeexplore.ieee.org/document/8282259","pdf_url":null,"source":{"id":"https://openalex.org/S4306401118","display_name":"Scholarworks@UNIST (Ulsan National Institute of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I48566637","host_organization_name":"Ulsan National Institute of Science and Technology","host_organization_lineage":["https://openalex.org/I48566637"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"CONFERENCE"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","score":0.7799999713897705,"display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1968707439","https://openalex.org/W1970830832","https://openalex.org/W1973569872","https://openalex.org/W1976263166","https://openalex.org/W2072029198","https://openalex.org/W2082968119","https://openalex.org/W2112668648","https://openalex.org/W2128254161","https://openalex.org/W2135001643","https://openalex.org/W2244727457","https://openalex.org/W2587107113","https://openalex.org/W2997077506","https://openalex.org/W6647720530","https://openalex.org/W6668238535"],"related_works":["https://openalex.org/W4226332782","https://openalex.org/W3176779361","https://openalex.org/W3163022079","https://openalex.org/W4389777547","https://openalex.org/W1983191497","https://openalex.org/W4313029978","https://openalex.org/W2616936297","https://openalex.org/W2369211336","https://openalex.org/W4383108568","https://openalex.org/W3143594332"],"abstract_inverted_index":{"Underwater":[0],"images":[1],"are":[2],"easily":[3],"degraded":[4],"by":[5,43],"various":[6],"characteristics":[7],"of":[8,39,47,81,98],"underwater":[9,17,50,101,123],"environment.":[10],"In":[11],"this":[12],"paper,":[13],"we":[14,58],"propose":[15],"an":[16,48,60],"image":[18,42,51,63,68,84,124],"enhancement":[19,125],"algorithm":[20,109],"which":[21],"improves":[22,110],"the":[23,28,37,45,65,70,73,82,86,90,94,99,107,111,115,121],"low":[24],"contrast":[25,112],"and":[26,113,119],"alleviates":[27,114],"color":[29,75,96,116],"distortion":[30,117],"in":[31],"gradient":[32,38,46,67],"domain.":[33],"We":[34],"first":[35],"estimate":[36],"original":[40,61,83],"scene":[41,62],"scaling":[44],"input":[49,100],"with":[52],"a":[53],"corresponding":[54],"transmission":[55],"map.":[56],"Then":[57],"reconstruct":[59],"from":[64],"compensated":[66],"using":[69],"constraint":[71],"that":[72,106],"three":[74,95],"components":[76,97],"at":[77],"each":[78],"boundary":[79],"pixel":[80],"have":[85],"same":[87],"value":[88,92],"to":[89],"median":[91],"among":[93],"image.":[102],"Experimental":[103],"results":[104],"demonstrate":[105],"proposed":[108],"faithfully,":[118],"outperforms":[120],"state-of-the-art":[122],"method.":[126]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
