{"id":"https://openalex.org/W7127177984","doi":"https://doi.org/10.48550/arxiv.2601.22878","title":"Development of Domain-Invariant Visual Enhancement and Restoration (DIVER) Approach for Underwater Images","display_name":"Development of Domain-Invariant Visual Enhancement and Restoration (DIVER) Approach for Underwater Images","publication_year":2026,"publication_date":"2026-01-30","ids":{"openalex":"https://openalex.org/W7127177984","doi":"https://doi.org/10.48550/arxiv.2601.22878"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2601.22878","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012592803","display_name":"Rajini Makam","orcid":"https://orcid.org/0000-0002-0989-9644"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Makam, Rajini","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080053083","display_name":"Sharanya Patil","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Patil, Sharanya","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010894576","display_name":"Dhatri Shankari T M","orcid":"https://orcid.org/0000-0001-9119-0978"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M, Dhatri Shankari T","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124838033","display_name":"Suresh Sundaram","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sundaram, Suresh","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5124754250","display_name":"Narasimhan Sundararajan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sundararajan, Narasimhan","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5012592803"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"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":0.9952999949455261,"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":0.9952999949455261,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.0017999999690800905,"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"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.0003000000142492354,"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":0.6496999859809875},{"id":"https://openalex.org/keywords/luminance","display_name":"Luminance","score":0.5633000135421753},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5023000240325928},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.40950000286102295},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.357699990272522},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.353300005197525},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.3386000096797943},{"id":"https://openalex.org/keywords/color-correction","display_name":"Color correction","score":0.329800009727478},{"id":"https://openalex.org/keywords/optical-filter","display_name":"Optical filter","score":0.3255000114440918}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.734000027179718},{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.6496999859809875},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6470000147819519},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.64410001039505},{"id":"https://openalex.org/C73313986","wikidata":"https://www.wikidata.org/wiki/Q355386","display_name":"Luminance","level":2,"score":0.5633000135421753},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5023000240325928},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.40950000286102295},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.357699990272522},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.353300005197525},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.3386000096797943},{"id":"https://openalex.org/C2779495555","wikidata":"https://www.wikidata.org/wiki/Q5148596","display_name":"Color correction","level":3,"score":0.329800009727478},{"id":"https://openalex.org/C45613198","wikidata":"https://www.wikidata.org/wiki/Q1134091","display_name":"Optical filter","level":2,"score":0.3255000114440918},{"id":"https://openalex.org/C126537357","wikidata":"https://www.wikidata.org/wiki/Q372948","display_name":"Hue","level":2,"score":0.3174000084400177},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.31709998846054077},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.31349998712539673},{"id":"https://openalex.org/C3017601658","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image enhancement","level":3,"score":0.3018999993801117},{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.2969000041484833},{"id":"https://openalex.org/C121535716","wikidata":"https://www.wikidata.org/wiki/Q340600","display_name":"Achromatic lens","level":2,"score":0.29170000553131104},{"id":"https://openalex.org/C555745239","wikidata":"https://www.wikidata.org/wiki/Q133220","display_name":"Sonar","level":2,"score":0.2906000018119812},{"id":"https://openalex.org/C3018181011","wikidata":"https://www.wikidata.org/wiki/Q6849688","display_name":"Contrast enhancement","level":3,"score":0.2671000063419342},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.2621999979019165},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.2612000107765198},{"id":"https://openalex.org/C178253425","wikidata":"https://www.wikidata.org/wiki/Q162668","display_name":"Visual perception","level":3,"score":0.25760000944137573},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.25699999928474426},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2538999915122986},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.2500999867916107}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2601.22878","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2601.22878","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.22878","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2601.22878","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","display_name":"Life below water","score":0.5641863942146301}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Underwater":[0],"images":[1],"suffer":[2],"severe":[3],"degradation":[4],"due":[5],"to":[6,78,205],"wavelength-dependent":[7,83],"attenuation,":[8],"scattering,":[9],"and":[10,18,27,68,82,89,111,119,125,135,221],"illumination":[11],"non-uniformity":[12],"that":[13,31],"vary":[14],"across":[15,162,227],"water":[16],"types":[17],"depths.":[19],"We":[20],"propose":[21],"an":[22],"unsupervised":[23,94],"Domain-Invariant":[24],"Visual":[25],"Enhancement":[26],"Restoration":[28],"(DIVER)":[29],"framework":[30],"integrates":[32],"empirical":[33],"correction":[34],"with":[35],"physics-guided":[36],"modeling":[37],"for":[38,48,57,80],"robust":[39],"underwater":[40,229],"image":[41],"enhancement.":[42],"DIVER":[43,101,155,169,195,211],"first":[44],"applies":[45],"either":[46],"IlluminateNet":[47,88],"adaptive":[49],"luminance":[50],"enhancement":[51],"or":[52,149,159],"a":[53,97,173,199],"Spectral":[54],"Equalization":[55],"Filter":[56],"spectral":[58],"normalization.":[59],"An":[60],"Adaptive":[61],"Optical":[62],"Correction":[63],"Module":[64],"then":[65],"refines":[66],"hue":[67],"contrast":[69],"using":[70,96,123],"channel-adaptive":[71],"filtering,":[72],"while":[73],"Hydro-OpticNet":[74,90],"employs":[75],"physics-constrained":[76],"learning":[77,95],"compensate":[79],"backscatter":[81],"attenuation.":[84],"The":[85],"parameters":[86],"of":[87,192],"are":[91],"optimized":[92],"via":[93],"composite":[98],"loss":[99],"function.":[100],"is":[102],"evaluated":[103],"on":[104],"eight":[105],"diverse":[106,228],"datasets":[107],"covering":[108],"shallow,":[109],"deep,":[110,146],"highly":[112],"turbid":[113],"environments,":[114],"including":[115],"both":[116],"naturally":[117],"low-light":[118,183],"artificially":[120,150],"illuminated":[121],"scenes,":[122],"reference":[124],"non-reference":[126],"metrics.":[127],"While":[128],"state-of-the-art":[129],"methods":[130,178],"such":[131],"as":[132],"WaterNet,":[133],"UDNet,":[134],"Phaseformer":[136],"perform":[137],"reasonably":[138],"in":[139,145,179,202],"shallow":[140],"water,":[141],"their":[142],"performance":[143,161],"degrades":[144],"unevenly":[147],"illuminated,":[148],"lit":[151],"conditions.":[152],"In":[153],"contrast,":[154],"consistently":[156],"achieves":[157,196],"best":[158],"near-best":[160],"all":[163],"datasets,":[164],"demonstrating":[165],"strong":[166],"domain-invariant":[167],"capability.":[168],"yields":[170],"at":[171,197],"least":[172,198],"9%":[174],"improvement":[175],"over":[176],"SOTA":[177],"UCIQE.":[180],"On":[181],"the":[182],"SeaThru":[184],"dataset,":[185],"where":[186],"color-palette":[187],"references":[188],"enable":[189],"direct":[190],"evaluation":[191],"color":[193],"restoration,":[194],"4.9%":[200],"reduction":[201],"GPMAE":[203],"compared":[204],"existing":[206],"methods.":[207],"Beyond":[208],"visual":[209],"quality,":[210],"also":[212],"improves":[213],"robotic":[214],"perception":[215],"by":[216],"enhancing":[217],"ORB-based":[218],"keypoint":[219],"repeatability":[220],"matching":[222],"performance,":[223],"confirming":[224],"its":[225],"robustness":[226],"environments.":[230]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-02-03T00:00:00"}