{"id":"https://openalex.org/W4294871818","doi":"https://doi.org/10.1109/tip.2022.3196546","title":"Underwater Image Enhancement With Hyper-Laplacian Reflectance Priors","display_name":"Underwater Image Enhancement With Hyper-Laplacian Reflectance Priors","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4294871818","doi":"https://doi.org/10.1109/tip.2022.3196546","pmid":"https://pubmed.ncbi.nlm.nih.gov/35947571"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2022.3196546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2022.3196546","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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":false,"raw_author_name":"Peixian Zhuang","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7143-9569","affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025651569","display_name":"Jiamin Wu","orcid":"https://orcid.org/0000-0003-3479-1026"},"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":false,"raw_author_name":"Jiamin Wu","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038550641","display_name":"Fatih Porikli","orcid":"https://orcid.org/0000-0002-1520-4466"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]},{"id":"https://openalex.org/I4210087596","display_name":"Qualcomm (United States)","ror":"https://ror.org/002zrf773","country_code":"US","type":"company","lineage":["https://openalex.org/I4210087596"]}],"countries":["AU","US"],"is_corresponding":false,"raw_author_name":"Fatih Porikli","raw_affiliation_strings":["Qualcomm, San Diego, CA, USA","Australian National University, Australia"],"raw_orcid":"https://orcid.org/0000-0002-1520-4466","affiliations":[{"raw_affiliation_string":"Qualcomm, San Diego, CA, USA","institution_ids":["https://openalex.org/I4210087596"]},{"raw_affiliation_string":"Australian National University, Australia","institution_ids":["https://openalex.org/I118347636"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034122071","display_name":"Chongyi Li","orcid":"https://orcid.org/0000-0003-2609-2460"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chongyi Li","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University (NTU), Jurong West, Singapore"],"raw_orcid":"https://orcid.org/0000-0003-2609-2460","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University (NTU), Jurong West, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":35.4884,"has_fulltext":false,"cited_by_count":489,"citation_normalized_percentile":{"value":0.99890813,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"31","issue":null,"first_page":"5442","last_page":"5455"},"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":0.9988999962806702,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9987000226974487,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6373405456542969},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6364610195159912},{"id":"https://openalex.org/keywords/reflectivity","display_name":"Reflectivity","score":0.5679765939712524},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5517123937606812},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.5238316655158997},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.508305013179779},{"id":"https://openalex.org/keywords/underwater","display_name":"Underwater","score":0.48018303513526917},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4735606908798218},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.45116662979125977},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38740217685699463},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3403477072715759},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.33052587509155273},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2812696695327759},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.1766563355922699},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1678195595741272},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12093216180801392}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6373405456542969},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6364610195159912},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.5679765939712524},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5517123937606812},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.5238316655158997},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.508305013179779},{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.48018303513526917},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4735606908798218},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.45116662979125977},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38740217685699463},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3403477072715759},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.33052587509155273},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2812696695327759},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.1766563355922699},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1678195595741272},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12093216180801392},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2022.3196546","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2022.3196546","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:35947571","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35947571","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8600000143051147,"display_name":"Life below water","id":"https://metadata.un.org/sdg/14"}],"awards":[{"id":"https://openalex.org/G2986345524","display_name":null,"funder_award_id":"2020AAA0130000","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3453648884","display_name":"\u5728\u4f53\u5bbd\u89c6\u573a\u9ad8\u5206\u8fa8\u7387\u5feb\u901f\u4e09\u7ef4\u663e\u5fae\u6210\u50cf\u65b9\u6cd5\u7814\u7a76","funder_award_id":"62071272","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3984164849","display_name":null,"funder_award_id":"61701245","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4514755209","display_name":null,"funder_award_id":"62171252","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5069369758","display_name":null,"funder_award_id":"2020AA0108202","funder_id":"https://openalex.org/F4320321540","funder_display_name":"Ministry of Science and Technology of the People's Republic of China"},{"id":"https://openalex.org/G5647938047","display_name":null,"funder_award_id":"2021M701903","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G7471134618","display_name":null,"funder_award_id":"2019M660644","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321540","display_name":"Ministry of Science and Technology of the People's Republic of China","ror":"https://ror.org/027s68j25"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1640745651","https://openalex.org/W1644173899","https://openalex.org/W1885185971","https://openalex.org/W1976263166","https://openalex.org/W1979666307","https://openalex.org/W2009071067","https://openalex.org/W2011592399","https://openalex.org/W2037964547","https://openalex.org/W2039313011","https://openalex.org/W2055447163","https://openalex.org/W2056201402","https://openalex.org/W2081140338","https://openalex.org/W2091420866","https://openalex.org/W2094185466","https://openalex.org/W2097771239","https://openalex.org/W2099471712","https://openalex.org/W2121900453","https://openalex.org/W2146086273","https://openalex.org/W2151103935","https://openalex.org/W2164847484","https://openalex.org/W2181646778","https://openalex.org/W2256362396","https://openalex.org/W2293581118","https://openalex.org/W2467473805","https://openalex.org/W2474516010","https://openalex.org/W2508457857","https://openalex.org/W2523532944","https://openalex.org/W2587107113","https://openalex.org/W2593797484","https://openalex.org/W2596058005","https://openalex.org/W2612911136","https://openalex.org/W2616936297","https://openalex.org/W2763503841","https://openalex.org/W2767009334","https://openalex.org/W2791710889","https://openalex.org/W2794405642","https://openalex.org/W2893707916","https://openalex.org/W2903211716","https://openalex.org/W2905621769","https://openalex.org/W2950055287","https://openalex.org/W2962793481","https://openalex.org/W2964088115","https://openalex.org/W2971483169","https://openalex.org/W2981119893","https://openalex.org/W2990176100","https://openalex.org/W3013590752","https://openalex.org/W3015044426","https://openalex.org/W3099025816","https://openalex.org/W3099562471","https://openalex.org/W3135038612","https://openalex.org/W4292363360"],"related_works":["https://openalex.org/W4386190339","https://openalex.org/W2968424575","https://openalex.org/W3142333283","https://openalex.org/W2580650124","https://openalex.org/W3122088529","https://openalex.org/W3041320102","https://openalex.org/W2111669074","https://openalex.org/W3176779361","https://openalex.org/W3163022079","https://openalex.org/W2966501856"],"abstract_inverted_index":{"Underwater":[0],"image":[1,59,145],"enhancement":[2,146],"aims":[3],"at":[4],"improving":[5],"the":[6,51,80,87,96,118,124,135,156,159,178,185,212,215],"visibility":[7],"and":[8,19,36,46,92,102,113,116,153,158,176,200,222],"eliminating":[9],"color":[10,48],"distortions":[11],"of":[12,30,53,95,120,181,202,206,214],"underwater":[13,58,77,144,166,207],"images":[14,32,167],"degraded":[15],"by":[16,33],"light":[17],"absorption":[18],"scattering":[20],"in":[21,38,168,218],"water.":[22],"Recently,":[23],"retinex":[24,40,54,72,170],"variational":[25,55,73,171],"models":[26,56],"show":[27],"remarkable":[28],"capacity":[29],"enhancing":[31],"estimating":[34,134],"reflectance":[35,69,82,104],"illumination":[37,160],"a":[39,67,138,142,169],"decomposition":[41],"course.":[42],"However,":[43],"ambiguous":[44],"details":[45,115],"unnatural":[47],"still":[49],"challenge":[50],"performance":[52],"on":[57,90,197],"enhancement.":[60],"To":[61],"overcome":[62],"these":[63],"limitations,":[64],"we":[65,140,188],"propose":[66],"hyper-laplacian":[68,81],"priors":[70,83,99],"inspired":[71],"model":[74],"to":[75,108,129,164],"enhance":[76,109,165],"images.":[78],"Specifically,":[79],"are":[84,162],"established":[85],"with":[86],"<i>l</i><sub>1/2</sub>-norm":[88],"penalty":[89],"first-order":[91],"second-order":[93],"gradients":[94],"reflectance.":[97],"Such":[98],"exploit":[100],"sparsity-promoting":[101],"complete-comprehensive":[103],"that":[105,151,161,194],"is":[106,127,195],"used":[107],"both":[110,219],"salient":[111],"structures":[112],"fine-scale":[114],"recover":[117],"naturalness":[119],"authentic":[121],"colors.":[122],"Besides,":[123],"<i>l</i><sub>2</sub>":[125],"norm":[126],"found":[128],"be":[130],"suitable":[131],"for":[132],"accurately":[133],"illumination.":[136],"As":[137],"result,":[139],"turn":[141],"complex":[143],"issue":[147],"into":[148],"simple":[149],"subproblems":[150],"separately":[152],"simultaneously":[154],"estimate":[155],"reflection":[157],"harnessed":[163],"model.":[172],"We":[173],"mathematically":[174],"analyze":[175],"solve":[177],"optimal":[179],"solution":[180],"each":[182],"subproblem.":[183],"In":[184],"optimization":[186],"course,":[187],"develop":[189],"an":[190],"alternating":[191],"minimization":[192],"algorithm":[193],"efficient":[196],"element-wise":[198],"operations":[199],"independent":[201],"additional":[203],"prior":[204],"knowledge":[205],"conditions.":[208],"Extensive":[209],"experiments":[210],"demonstrate":[211],"superiority":[213],"proposed":[216],"method":[217],"subjective":[220],"results":[221],"objective":[223],"assessments":[224],"over":[225],"existing":[226],"methods.":[227]},"counts_by_year":[{"year":2026,"cited_by_count":51},{"year":2025,"cited_by_count":168},{"year":2024,"cited_by_count":145},{"year":2023,"cited_by_count":119},{"year":2022,"cited_by_count":6}],"updated_date":"2026-07-18T07:39:51.176621","created_date":"2025-10-10T00:00:00"}
