{"id":"https://openalex.org/W7083203386","doi":"https://doi.org/10.1109/tai.2025.3613670","title":"TransWaveNet: Transformer for Underwater Image Restoration with Wavelets","display_name":"TransWaveNet: Transformer for Underwater Image Restoration with Wavelets","publication_year":2025,"publication_date":"2025-09-24","ids":{"openalex":"https://openalex.org/W7083203386","doi":"https://doi.org/10.1109/tai.2025.3613670"},"language":"en","primary_location":{"id":"doi:10.1109/tai.2025.3613670","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2025.3613670","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"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 Artificial Intelligence","raw_type":"journal-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":null,"display_name":"Priyanka Mishra","orcid":"https://orcid.org/0009-0007-0043-203X"},"institutions":[{"id":"https://openalex.org/I119241673","display_name":"Indian Institute of Technology Ropar","ror":"https://ror.org/02qkhhn56","country_code":"IN","type":"education","lineage":["https://openalex.org/I119241673"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Priyanka Mishra","raw_affiliation_strings":["Computer Vision and Pattern Recognition Laboratory, Department of Electrical Engineering, Indian Institute of Technology Ropar, Rupnagar, Punjab, India"],"raw_orcid":"https://orcid.org/0009-0007-0043-203X","affiliations":[{"raw_affiliation_string":"Computer Vision and Pattern Recognition Laboratory, Department of Electrical Engineering, Indian Institute of Technology Ropar, Rupnagar, Punjab, India","institution_ids":["https://openalex.org/I119241673"]}]},{"author_position":"middle","author":{"id":null,"display_name":"MD Raqib Khan","orcid":"https://orcid.org/0009-0008-8952-5204"},"institutions":[{"id":"https://openalex.org/I205274468","display_name":"Trinity College Dublin","ror":"https://ror.org/02tyrky19","country_code":"IE","type":"education","lineage":["https://openalex.org/I205274468"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"MD Raqib Khan","raw_affiliation_strings":["School of Computer Science and Statistics, Trinity College Dublin, Dublin, D02 PN40, Ireland"],"raw_orcid":"https://orcid.org/0009-0008-8952-5204","affiliations":[{"raw_affiliation_string":"School of Computer Science and Statistics, Trinity College Dublin, Dublin, D02 PN40, Ireland","institution_ids":["https://openalex.org/I205274468"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Shruti S. Phutke","orcid":"https://orcid.org/0000-0001-7627-5930"},"institutions":[{"id":"https://openalex.org/I1295929820","display_name":"Yamaha (Japan)","ror":"https://ror.org/05s7fvh27","country_code":"JP","type":"company","lineage":["https://openalex.org/I1295929820"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shruti S. Phutke","raw_affiliation_strings":["Yamaha Motor Solutions, Faridabad, Haryana, India"],"raw_orcid":"https://orcid.org/0000-0001-7627-5930","affiliations":[{"raw_affiliation_string":"Yamaha Motor Solutions, Faridabad, Haryana, India","institution_ids":["https://openalex.org/I1295929820"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Santosh Kumar Vipparthi","orcid":"https://orcid.org/0000-0002-5672-3537"},"institutions":[{"id":"https://openalex.org/I119241673","display_name":"Indian Institute of Technology Ropar","ror":"https://ror.org/02qkhhn56","country_code":"IN","type":"education","lineage":["https://openalex.org/I119241673"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Santosh Kumar Vipparthi","raw_affiliation_strings":["Computer Vision and Pattern Recognition Laboratory, Department of Electrical Engineering, Indian Institute of Technology Ropar, Rupnagar, Punjab, India"],"raw_orcid":"https://orcid.org/0000-0002-5672-3537","affiliations":[{"raw_affiliation_string":"Computer Vision and Pattern Recognition Laboratory, Department of Electrical Engineering, Indian Institute of Technology Ropar, Rupnagar, Punjab, India","institution_ids":["https://openalex.org/I119241673"]}]},{"author_position":"last","author":{"id":null,"display_name":"Subrahmanyam Murala","orcid":"https://orcid.org/0000-0003-3384-4368"},"institutions":[{"id":"https://openalex.org/I205274468","display_name":"Trinity College Dublin","ror":"https://ror.org/02tyrky19","country_code":"IE","type":"education","lineage":["https://openalex.org/I205274468"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Subrahmanyam Murala","raw_affiliation_strings":["School of Computer Science and Statistics, Trinity College Dublin, Dublin, D02 PN40, Ireland"],"raw_orcid":"https://orcid.org/0000-0003-3384-4368","affiliations":[{"raw_affiliation_string":"School of Computer Science and Statistics, Trinity College Dublin, Dublin, D02 PN40, Ireland","institution_ids":["https://openalex.org/I205274468"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.47006942,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":"4","first_page":"2196","last_page":"2207"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T12349","display_name":"Food Chemistry and Fat Analysis","score":0.9659000039100647,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12349","display_name":"Food Chemistry and Fat Analysis","score":0.9659000039100647,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10909","display_name":"Edible Oils Quality and Analysis","score":0.01140000019222498,"subfield":{"id":"https://openalex.org/subfields/1605","display_name":"Organic Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13361","display_name":"Coconut Research and Applications","score":0.003700000001117587,"subfield":{"id":"https://openalex.org/subfields/1604","display_name":"Inorganic Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/underwater","display_name":"Underwater","score":0.7351999878883362},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6991000175476074},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.529699981212616},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.40790000557899475},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.397599995136261},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.3864000141620636},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.33340001106262207}],"concepts":[{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.7351999878883362},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6991000175476074},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6144000291824341},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5774000287055969},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.529699981212616},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5293999910354614},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.40790000557899475},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.397599995136261},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.3864000141620636},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.33340001106262207},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.2937000095844269},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.2906999886035919},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.2883000075817108},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2752000093460083},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.2676999866962433},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2648000121116638},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.2556000053882599},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.2538999915122986}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tai.2025.3613670","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2025.3613670","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"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 Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1987075379","https://openalex.org/W2016628928","https://openalex.org/W2051135253","https://openalex.org/W2069734445","https://openalex.org/W2081140338","https://openalex.org/W2113945798","https://openalex.org/W2128254161","https://openalex.org/W2293581118","https://openalex.org/W2551161082","https://openalex.org/W2560533888","https://openalex.org/W2587107113","https://openalex.org/W2763503841","https://openalex.org/W2964030969","https://openalex.org/W2964088115","https://openalex.org/W2982795046","https://openalex.org/W2990176100","https://openalex.org/W2997763120","https://openalex.org/W3006777311","https://openalex.org/W3009406242","https://openalex.org/W3035731588","https://openalex.org/W3063016731","https://openalex.org/W3107331169","https://openalex.org/W3153844346","https://openalex.org/W3157502174","https://openalex.org/W3162090017","https://openalex.org/W3170841864","https://openalex.org/W3173342677","https://openalex.org/W3202040256","https://openalex.org/W4206424103","https://openalex.org/W4214493665","https://openalex.org/W4214520160","https://openalex.org/W4214745154","https://openalex.org/W4225672218","https://openalex.org/W4249722514","https://openalex.org/W4285131332","https://openalex.org/W4285821234","https://openalex.org/W4294811441","https://openalex.org/W4294891540","https://openalex.org/W4302067267","https://openalex.org/W4312658498","https://openalex.org/W4312812783","https://openalex.org/W4312832682","https://openalex.org/W4312845047","https://openalex.org/W4312869969","https://openalex.org/W4377079715","https://openalex.org/W4382457774","https://openalex.org/W4385988004","https://openalex.org/W4386071708","https://openalex.org/W4389495270","https://openalex.org/W4389666313","https://openalex.org/W4394002325","https://openalex.org/W4402783890","https://openalex.org/W4403906364","https://openalex.org/W4405864600"],"related_works":[],"abstract_inverted_index":{"Underwater":[0],"image":[1,100,203],"restoration":[2],"aims":[3],"to":[4,116,143],"improve":[5],"the":[6,38,41,63,79,132],"quality":[7],"and":[8,33,51,57,82,102,147,162,190,193,198],"visibility":[9],"of":[10,40,78,154],"images":[11,17],"taken":[12],"in":[13,20,60,76,131],"underwater":[14,27,42,68,99,117],"environments.":[15],"These":[16],"find":[18],"application":[19],"diverse":[21],"fields":[22],"like":[23],"marine":[24],"biology":[25],"research,":[26],"archaeology,":[28],"environmental":[29],"monitoring,":[30],"surveillance":[31],"tasks,":[32],"offshore":[34],"infrastructure":[35],"inspection.":[36],"However,":[37],"complexities":[39],"environment":[43],"make":[44],"these":[45],"applications":[46],"challenging,":[47],"as":[48,187],"light":[49],"scattering":[50],"absorption":[52],"cause":[53],"blur,":[54],"color":[55,103],"cast,":[56],"reduced":[58],"contrast":[59],"images.":[61],"With":[62],"promising":[64],"results":[65],"on":[66,157],"restoring":[67],"degraded":[69],"images,":[70],"existing":[71,176],"approaches":[72],"limit":[73],"their":[74],"performance":[75],"case":[77],"above-mentioned":[80],"complex":[81],"nonlinear":[83],"degradation.":[84,118],"In":[85],"this":[86],"research":[87],"work,":[88],"we":[89,120,179],"propose":[90],"a":[91,122],"multi-directional":[92],"wavelet":[93,123,133,140],"coefficient":[94,134],"space":[95],"transformer":[96,126],"model":[97,113],"for":[98,128,184],"deblurring":[101],"restoration.":[104],"Incorporating":[105],"an":[106,138],"attention":[107,124,129],"mechanism":[108],"within":[109],"transformed":[110],"spaces,":[111],"our":[112,155,182],"dynamically":[114],"adapts":[115],"Additionally,":[119],"introduce":[121],"fusion":[125],"block":[127,142],"computation":[130],"space,":[135],"along":[136,167],"with":[137,168],"edge-preserving":[139],"down-sampling":[141],"retain":[144],"fine":[145],"details":[146],"textures":[148],"during":[149],"downsampling.":[150],"A":[151],"thorough":[152],"assessment":[153],"method":[156,183],"real-world":[158],"(UCCS,":[159],"U45,":[160],"SQUID)":[161],"synthetic":[163],"(UIEB,":[164],"UCDD)":[165],"datasets,":[166],"profound":[169],"ablation":[170],"studies,":[171],"validates":[172],"its":[173,196],"edge":[174],"over":[175],"techniques.":[177],"Further,":[178],"have":[180],"evaluated":[181],"tasks":[185],"such":[186],"depth":[188],"estimation,":[189],"low-light":[191],"enhancement":[192],"deblurring,":[194],"demonstrating":[195],"versatility":[197],"broad":[199],"applicability":[200],"across":[201],"various":[202],"processing":[204],"tasks.":[205],"The":[206],"code":[207],"is":[208],"made":[209],"available":[210],"at:":[211],"<uri":[212],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[213],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/Priyanka01mishra/TransWaveNet</uri>.":[214]},"counts_by_year":[],"updated_date":"2026-04-02T13:48:15.688549","created_date":"2025-10-10T00:00:00"}