{"id":"https://openalex.org/W3195691196","doi":"https://doi.org/10.1109/icip42928.2021.9506104","title":"Retinex Underwater Image Enhancement With Multiorder Gradient Priors","display_name":"Retinex Underwater Image Enhancement With Multiorder Gradient Priors","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W3195691196","doi":"https://doi.org/10.1109/icip42928.2021.9506104","mag":"3195691196"},"language":"en","primary_location":{"id":"doi:10.1109/icip42928.2021.9506104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","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/A5082780960","display_name":"Peixian Zhuang","orcid":"https://orcid.org/0000-0002-7143-9569"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Peixian Zhuang","raw_affiliation_strings":["Tsinghua University,Department of Automation,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Automation,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5082780960"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":1.3367,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.88064516,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1709","last_page":"1713"},"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":0.9990000128746033,"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":0.9986000061035156,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/color-constancy","display_name":"Color constancy","score":0.8011000156402588},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.6659462451934814},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6311807632446289},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5697395205497742},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5681378245353699},{"id":"https://openalex.org/keywords/underwater","display_name":"Underwater","score":0.558535099029541},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.45323610305786133},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.4390886425971985},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.43480977416038513},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4234829545021057},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3739883601665497},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3422621190547943},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.213102787733078}],"concepts":[{"id":"https://openalex.org/C187888035","wikidata":"https://www.wikidata.org/wiki/Q2563885","display_name":"Color constancy","level":3,"score":0.8011000156402588},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.6659462451934814},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6311807632446289},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5697395205497742},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5681378245353699},{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.558535099029541},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.45323610305786133},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.4390886425971985},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.43480977416038513},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4234829545021057},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3739883601665497},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3422621190547943},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.213102787733078},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"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/icip42928.2021.9506104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip42928.2021.9506104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","score":0.8399999737739563,"id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1598281290","https://openalex.org/W1640745651","https://openalex.org/W2001412060","https://openalex.org/W2055447163","https://openalex.org/W2081140338","https://openalex.org/W2091420866","https://openalex.org/W2142058898","https://openalex.org/W2181646778","https://openalex.org/W2293581118","https://openalex.org/W2474516010","https://openalex.org/W2587107113","https://openalex.org/W2767009334","https://openalex.org/W2771986438","https://openalex.org/W2783488367","https://openalex.org/W2964088115","https://openalex.org/W2970439168","https://openalex.org/W2990176100","https://openalex.org/W3099562471","https://openalex.org/W4292363360","https://openalex.org/W6635527474","https://openalex.org/W6720976276","https://openalex.org/W6737993925"],"related_works":["https://openalex.org/W4237735386","https://openalex.org/W2982638676","https://openalex.org/W4386190339","https://openalex.org/W2968424575","https://openalex.org/W3142333283","https://openalex.org/W2580650124","https://openalex.org/W3122088529","https://openalex.org/W2622554317","https://openalex.org/W3097078770","https://openalex.org/W4302598424"],"abstract_inverted_index":{"We":[0],"develop":[1],"a":[2,20,37,100],"variational":[3,38],"retinex":[4,39],"algorithm":[5,120],"for":[6,41],"enhancing":[7,42],"single":[8],"underwater":[9,45,102,134,157],"image":[10,46,103,158],"with":[11],"multiorder":[12,51],"gradient":[13,52],"priors":[14,53],"of":[15,54,147],"reflectance":[16,55],"and":[17,33,56,65,75,92,149,155],"illumination.":[18,57,98],"First,":[19],"simple":[21,109],"yet":[22],"effective":[23],"color":[24,31],"correction":[25],"approach":[26],"is":[27,47,69,85,106,122],"used":[28],"to":[29,59,72,88],"remove":[30],"casts":[32],"recover":[34],"naturalness.":[35],"Then,":[36],"model":[40,73],"the":[43,67,80,83,97,141],"color-corrected":[44],"established":[48],"by":[49,116],"imposing":[50],"According":[58],"structural":[60],"sparsity":[61],"difference":[62],"between":[63],"illumination":[64],"reflectance,":[66,81],"l1norm":[68],"accurately":[70],"adopted":[71],"piecewise":[74,76],"linear":[77,94],"approximations":[78],"on":[79,96,125],"while":[82],"l2norm":[84],"appropriately":[86],"employed":[87],"enforce":[89],"spatial":[90,93],"smoothness":[91,95],"Next,":[99],"complex":[101],"enhancement":[104,159],"issue":[105],"turned":[107],"into":[108],"denoising":[110],"subproblems,":[111],"which":[112],"can":[113],"be":[114],"addressed":[115],"an":[117],"efficient":[118],"optimization":[119],"that":[121,140],"fast":[123],"performed":[124],"pixel-wise":[126],"operations":[127],"without":[128],"requiring":[129],"additional":[130],"prior":[131],"knowledge":[132],"about":[133],"imaging":[135],"conditions.":[136],"Final":[137],"experiments":[138],"demonstrate":[139],"proposed":[142],"method":[143],"yields":[144],"better":[145],"results":[146],"qualitative":[148],"quantitative":[150],"assessments":[151],"than":[152],"several":[153],"traditional":[154],"leading":[156],"approaches.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
