{"id":"https://openalex.org/W2792459965","doi":"https://doi.org/10.1109/vcip.2017.8305027","title":"A new underwater image enhancing method via color correction and illumination adjustment","display_name":"A new underwater image enhancing method via color correction and illumination adjustment","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2792459965","doi":"https://doi.org/10.1109/vcip.2017.8305027","mag":"2792459965"},"language":"en","primary_location":{"id":"doi:10.1109/vcip.2017.8305027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2017.8305027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Visual Communications and Image Processing (VCIP)","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/A5100417586","display_name":"Wenhao Zhang","orcid":"https://orcid.org/0000-0002-9174-4077"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wenhao Zhang","raw_affiliation_strings":["School of Electronic and Computer Engineering, Shenzhen Graduate School, Shenzhen, Guangdong Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Shenzhen Graduate School, Shenzhen, Guangdong Province, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100447691","display_name":"Ge Li","orcid":"https://orcid.org/0000-0003-0140-0949"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ge Li","raw_affiliation_strings":["School of Electronic and Computer Engineering, Shenzhen Graduate School, Shenzhen, Guangdong Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Shenzhen Graduate School, Shenzhen, Guangdong Province, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069688710","display_name":"Zhenqiang Ying","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhenqiang Ying","raw_affiliation_strings":["School of Electronic and Computer Engineering, Shenzhen Graduate School, Shenzhen, Guangdong Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Shenzhen Graduate School, Shenzhen, Guangdong Province, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9398,"has_fulltext":false,"cited_by_count":71,"citation_normalized_percentile":{"value":0.92241118,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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":0.9976000189781189,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.996999979019165,"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/color-correction","display_name":"Color correction","score":0.8812452554702759},{"id":"https://openalex.org/keywords/color-constancy","display_name":"Color constancy","score":0.8460273146629333},{"id":"https://openalex.org/keywords/underwater","display_name":"Underwater","score":0.8028420209884644},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7676932215690613},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7276181578636169},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7243086099624634},{"id":"https://openalex.org/keywords/image-enhancement","display_name":"Image enhancement","score":0.46533623337745667},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4600489139556885},{"id":"https://openalex.org/keywords/gamma-correction","display_name":"Gamma correction","score":0.4152376055717468},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.08424711227416992}],"concepts":[{"id":"https://openalex.org/C2779495555","wikidata":"https://www.wikidata.org/wiki/Q5148596","display_name":"Color correction","level":3,"score":0.8812452554702759},{"id":"https://openalex.org/C187888035","wikidata":"https://www.wikidata.org/wiki/Q2563885","display_name":"Color constancy","level":3,"score":0.8460273146629333},{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.8028420209884644},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7676932215690613},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7276181578636169},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7243086099624634},{"id":"https://openalex.org/C3017601658","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image enhancement","level":3,"score":0.46533623337745667},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4600489139556885},{"id":"https://openalex.org/C17916492","wikidata":"https://www.wikidata.org/wiki/Q1144257","display_name":"Gamma correction","level":3,"score":0.4152376055717468},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.08424711227416992},{"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:10.1109/vcip.2017.8305027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vcip.2017.8305027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Visual Communications and Image Processing (VCIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","score":0.8600000143051147,"id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1973569872","https://openalex.org/W1976263166","https://openalex.org/W1977197797","https://openalex.org/W2028990532","https://openalex.org/W2055447163","https://openalex.org/W2078718577","https://openalex.org/W2081140338","https://openalex.org/W2164847484","https://openalex.org/W2350677327","https://openalex.org/W2474516010","https://openalex.org/W2523532944"],"related_works":["https://openalex.org/W4309397048","https://openalex.org/W4226332782","https://openalex.org/W2792459965","https://openalex.org/W2096488655","https://openalex.org/W4389777547","https://openalex.org/W4313029978","https://openalex.org/W3156454572","https://openalex.org/W4221128194","https://openalex.org/W4319083510","https://openalex.org/W3195722146"],"abstract_inverted_index":{"Since":[0],"the":[1,33,36,48,75,85,90],"light":[2],"will":[3],"be":[4],"absorbed":[5],"and":[6,22,62,93,114],"scattered":[7],"when":[8],"travels":[9],"in":[10],"water,":[11],"underwater":[12,51],"imaging":[13],"exists":[14],"three":[15],"major":[16],"difficulties,":[17],"including":[18],"color":[19,60,70,76],"cast,":[20],"under-exposure,":[21],"fuzz.":[23],"The":[24,53],"solutions":[25],"to":[26,73],"overcome":[27],"those":[28],"issues":[29],"are":[30],"important":[31],"for":[32,46],"exploration":[34],"of":[35,50,57,106,111],"ocean.":[37],"In":[38],"this":[39],"paper,":[40],"we":[41,66,83],"propose":[42],"a":[43],"new":[44],"algorithm":[45,54],"improving":[47],"quality":[49],"images.":[52],"is":[55,117],"composed":[56],"two":[58],"components:":[59],"correction":[61,96],"illumination":[63,86,91],"adjustment.":[64],"First,":[65],"use":[67],"an":[68],"efficient":[69],"enhancement":[71],"method":[72,108],"solve":[74],"cast.":[77],"Then,":[78],"based":[79],"on":[80,97],"Retinex":[81],"model,":[82],"make":[84],"adjustment,":[87],"mainly":[88],"extracting":[89],"map":[92],"implementing":[94],"gamma":[95],"it":[98],"successively.":[99],"Experimental":[100],"results":[101],"show":[102],"that":[103,110],"visual":[104],"performance":[105],"our":[107],"outperforms":[109],"other":[112],"methods,":[113],"processing":[115],"complexity":[116],"relatively":[118],"simpler.":[119]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
