{"id":"https://openalex.org/W7223035237","doi":"https://doi.org/10.1038/s41598-026-76078-8","title":"Physics aware joint low light and color correction for underwater image enhancement","display_name":"Physics aware joint low light and color correction for underwater image enhancement","publication_year":2026,"publication_date":"2026-10-20","ids":{"openalex":"https://openalex.org/W7223035237","doi":"https://doi.org/10.1038/s41598-026-76078-8"},"language":"en","primary_location":{"id":"doi:10.1038/s41598-026-76078-8","doi":"https://doi.org/10.1038/s41598-026-76078-8","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41598-026-76078-8","pdf_url":"https://www.nature.com/articles/s41598-026-76078-8_reference.pdf","source":{"id":"https://openalex.org/S196734849","display_name":"Scientific Reports","issn_l":"2045-2322","issn":["2045-2322"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Reports","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.nature.com/articles/s41598-026-76078-8_reference.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5159123488","display_name":"Patharapalli Yada Vani","orcid":"https://orcid.org/0009-0000-0755-9155","observed_orcids":["https://orcid.org/0009-0000-0755-9155"]},"institutions":[{"id":"https://openalex.org/I4405262389","display_name":"Aditya University","ror":"https://ror.org/03127q162","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405262389"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Patharapalli Yada Vani","raw_affiliation_strings":["Department of Electronics & Communication Engineering, Aditya University, Surampalem, 533 437, AP, India"],"raw_orcid":"https://orcid.org/0009-0000-0755-9155","affiliations":[{"raw_affiliation_string":"Department of Electronics & Communication Engineering, Aditya University, Surampalem, 533 437, AP, India","institution_ids":["https://openalex.org/I4405262389"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000358469","display_name":"Gulivindala Suresh","orcid":"https://orcid.org/0000-0002-8411-8190","observed_orcids":["https://orcid.org/0000-0002-8411-8190"]},"institutions":[{"id":"https://openalex.org/I4405262389","display_name":"Aditya University","ror":"https://ror.org/03127q162","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405262389"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Gulivindala Suresh","raw_affiliation_strings":["Department of Electronics & Communication Engineering, Aditya University, Surampalem, 533 437, AP, India"],"raw_orcid":"https://orcid.org/0000-0002-8411-8190","affiliations":[{"raw_affiliation_string":"Department of Electronics & Communication Engineering, Aditya University, Surampalem, 533 437, AP, India","institution_ids":["https://openalex.org/I4405262389"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5159123488"],"corresponding_institution_ids":["https://openalex.org/I4405262389"],"apc_list":{"value":2690,"currency":"USD","value_usd":2690},"apc_paid":{"value":2690,"currency":"USD","value_usd":2690},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.72751041,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.0,"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"}},{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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-image-enhancement","display_name":"underwater image enhancement","score":0.9990000128746033},{"id":"https://openalex.org/keywords/color-correction","display_name":"color correction","score":0.9670000076293945},{"id":"https://openalex.org/keywords/transmission-map-estimation","display_name":"transmission map estimation","score":0.6899999976158142},{"id":"https://openalex.org/keywords/total-variation-regularization","display_name":"total variation regularization","score":0.8330000042915344},{"id":"https://openalex.org/keywords/model-based-inversion","display_name":"model-based inversion","score":0.6850000023841858},{"id":"https://openalex.org/keywords/computational-efficiency","display_name":"computational efficiency","score":0.5320000052452087}],"concepts":[{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.8515999913215637},{"id":"https://openalex.org/C2779495555","wikidata":"https://www.wikidata.org/wiki/Q5148596","display_name":"Color correction","level":3,"score":0.7554000020027161},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7371000051498413},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6956999897956848},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6845999956130981},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5965999960899353},{"id":"https://openalex.org/C187888035","wikidata":"https://www.wikidata.org/wiki/Q2563885","display_name":"Color constancy","level":3,"score":0.5425000190734863},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.4878000020980835},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.47450000047683716},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.46399998664855957},{"id":"https://openalex.org/C184652730","wikidata":"https://www.wikidata.org/wiki/Q2357982","display_name":"Attenuation","level":2,"score":0.41670000553131104},{"id":"https://openalex.org/C3017601658","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image enhancement","level":3,"score":0.4081000089645386},{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.375},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.36399999260902405},{"id":"https://openalex.org/C126537357","wikidata":"https://www.wikidata.org/wiki/Q372948","display_name":"Hue","level":2,"score":0.3472000062465668},{"id":"https://openalex.org/C159784718","wikidata":"https://www.wikidata.org/wiki/Q182571","display_name":"Color balance","level":5,"score":0.30320000648498535},{"id":"https://openalex.org/C17916492","wikidata":"https://www.wikidata.org/wiki/Q1144257","display_name":"Gamma correction","level":3,"score":0.2994000017642975},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.28630000352859497},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.28450000286102295},{"id":"https://openalex.org/C173285193","wikidata":"https://www.wikidata.org/wiki/Q519022","display_name":"False color","level":5,"score":0.28360000252723694},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.28349998593330383},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2831000089645386},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2809000015258789},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.2685999870300293},{"id":"https://openalex.org/C29081049","wikidata":"https://www.wikidata.org/wiki/Q1364242","display_name":"Image stitching","level":2,"score":0.26829999685287476},{"id":"https://openalex.org/C12043971","wikidata":"https://www.wikidata.org/wiki/Q2636542","display_name":"Color histogram","level":5,"score":0.2671999931335449},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.257099986076355},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2563999891281128},{"id":"https://openalex.org/C3018181011","wikidata":"https://www.wikidata.org/wiki/Q6849688","display_name":"Contrast enhancement","level":3,"score":0.25609999895095825},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.2556999921798706}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1038/s41598-026-76078-8","doi":"https://doi.org/10.1038/s41598-026-76078-8","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41598-026-76078-8","pdf_url":"https://www.nature.com/articles/s41598-026-76078-8_reference.pdf","source":{"id":"https://openalex.org/S196734849","display_name":"Scientific Reports","issn_l":"2045-2322","issn":["2045-2322"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Reports","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1038/s41598-026-76078-8","doi":"https://doi.org/10.1038/s41598-026-76078-8","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41598-026-76078-8","pdf_url":"https://www.nature.com/articles/s41598-026-76078-8_reference.pdf","source":{"id":"https://openalex.org/S196734849","display_name":"Scientific Reports","issn_l":"2045-2322","issn":["2045-2322"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Scientific Reports","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7223035237.pdf","grobid_xml":"https://content.openalex.org/works/W7223035237.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W2909208433","https://openalex.org/W2925094354","https://openalex.org/W2952268784","https://openalex.org/W2966501856","https://openalex.org/W2994899984","https://openalex.org/W3089880852","https://openalex.org/W4225728089","https://openalex.org/W4226232129","https://openalex.org/W4372361415","https://openalex.org/W4381663067","https://openalex.org/W4382786873","https://openalex.org/W4383112593","https://openalex.org/W4383752898","https://openalex.org/W4385299561","https://openalex.org/W4386702671","https://openalex.org/W4387010541","https://openalex.org/W4387020961","https://openalex.org/W4387395821","https://openalex.org/W4389161154","https://openalex.org/W4389317905","https://openalex.org/W4389352570","https://openalex.org/W4389752929","https://openalex.org/W4389961128","https://openalex.org/W4390044107","https://openalex.org/W4390493133","https://openalex.org/W4390604514","https://openalex.org/W4390872061","https://openalex.org/W4392287284","https://openalex.org/W4392743986","https://openalex.org/W4393863103","https://openalex.org/W4394773598","https://openalex.org/W4394785764","https://openalex.org/W4396765595","https://openalex.org/W4396853150","https://openalex.org/W4399114359","https://openalex.org/W4400764331","https://openalex.org/W4401879366","https://openalex.org/W4402742664","https://openalex.org/W4404609152","https://openalex.org/W4405778964","https://openalex.org/W4405934483","https://openalex.org/W4406949687","https://openalex.org/W4410374548","https://openalex.org/W4413795875","https://openalex.org/W4414243457","https://openalex.org/W7124579060","https://openalex.org/W7128916909","https://openalex.org/W7143377352","https://openalex.org/W7148371957","https://openalex.org/W7154254385"],"related_works":["https://openalex.org/W4391584512","https://openalex.org/W4404065453","https://openalex.org/W3145601439","https://openalex.org/W7154944024","https://openalex.org/W4383723013","https://openalex.org/W4413382289","https://openalex.org/W4413205992","https://openalex.org/W3197085306","https://openalex.org/W7155061365","https://openalex.org/W4411535427"],"abstract_inverted_index":{"The":[0,61,79,117,244],"underwater":[1,31,56,104,159,208,212,256],"images":[2,57],"suffer":[3],"from":[4,102],"low":[5,16],"illumination,":[6],"absorption":[7],"and":[8,18,38,49,67,96,134,146,157,166,186,207,246],"scattering":[9],"varies":[10],"with":[11,75],"the":[12,92,120,140,164,170,175,179,218,222,231,236,249],"wavelength,":[13],"poor":[14],"visibility,":[15],"contrast":[17,74,132,209],"severe":[19],"color":[20,94,136,149,205],"distortion.":[21],"These":[22],"degradations":[23],"have":[24],"a":[25,45,86,98,113],"negative":[26],"impact":[27],"on":[28,155],"applications":[29],"for":[30,240],"vision":[32],"like":[33],"marine":[34],"exploration,":[35],"object":[36],"recognition":[37],"autonomous":[39],"navigation.":[40],"To":[41],"overcome":[42],"these":[43],"difficulties,":[44],"Physics-Aware":[46],"Joint":[47],"Low-Light":[48],"Color":[50,188],"Correction":[51],"(PA-JLCC)":[52],"framework":[53,80,237],"to":[54,138,162,216,255],"enhance":[55],"has":[58],"been":[59],"developed.":[60],"proposed":[62,171,176,223,250],"approach":[63,177,251],"is":[64,109,122,225],"lightweight,":[65],"interpretable":[66],"does":[68],"not":[69,195],"require":[70],"extensive":[71],"training,":[72],"in":[73,210],"deep":[76],"learning-based":[77],"approaches.":[78],"estimates":[81],"ambient":[82],"light":[83],"level,":[84],"builds":[85],"depth-aware":[87],"attenuation":[88],"proxy":[89],"by":[90,112,125,129],"using":[91],"logarithmic":[93],"ratio,":[95],"computes":[97],"preliminary":[99],"transmission":[100],"map":[101],"an":[103],"image":[105,200,241,257],"formation":[106],"model,":[107],"which":[108,194],"further":[110],"improved":[111,198,204],"total":[114],"variation":[115],"regularization.":[116],"radiance":[118],"of":[119,169,221,233,248],"scenes":[121],"then":[123],"reconstructed":[124],"model-based":[126],"inversion,":[127],"enhanced":[128],"multi-scale":[130],"local":[131],"enhancement":[133,242,258],"Gray-World":[135],"balancing":[137],"improve":[139],"visual":[141,165],"clarity,":[142],"maintain":[143],"structural":[144],"details":[145],"restore":[147],"natural":[148],"appearance.":[150],"Extensive":[151],"experiments":[152],"are":[153],"conducted":[154],"synthetic":[156],"real-world":[158],"benchmark":[160],"datasets":[161],"evaluate":[163],"quantitative":[167],"performance":[168],"PA-JLCC":[172],"framework.":[173],"Specifically,":[174],"achieves":[178],"reported":[180],"Underwater":[181,187],"Image":[182,189],"Quality":[183,190],"Measure":[184],"(UIQM)":[185],"Evaluation":[191],"(UCIQE)":[192],"results,":[193],"only":[196],"reflect":[197],"perceptual":[199],"quality":[201],"but":[202],"also":[203],"fidelity":[206],"various":[211],"environments.":[213],"In":[214],"addition":[215],"this,":[217],"computational":[219],"complexity":[220],"algorithm":[224],"linear,":[226],"O(N),":[227],"where":[228],"N":[229],"denotes":[230],"number":[232],"pixels,":[234],"making":[235],"computationally":[238],"efficient":[239],"applications.":[243],"efficiency":[245],"interpretability":[247],"make":[252],"it":[253],"applicable":[254],"systems.":[259]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2026-10-21T00:00:00"}
