{"id":"https://openalex.org/W4404030714","doi":"https://doi.org/10.1109/icccnt61001.2024.10724240","title":"Enhanced Underwater Image Restoration: Optimizing Computational Efficiency with U-Net++ and CNN Architectures","display_name":"Enhanced Underwater Image Restoration: Optimizing Computational Efficiency with U-Net++ and CNN Architectures","publication_year":2024,"publication_date":"2024-06-24","ids":{"openalex":"https://openalex.org/W4404030714","doi":"https://doi.org/10.1109/icccnt61001.2024.10724240"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt61001.2024.10724240","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt61001.2024.10724240","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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/A5106548838","display_name":"N. Rayvanth","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"N Rayvanth","raw_affiliation_strings":["University of Wisconsin,Amrita School of Computing, Amrita Vishwa Vidyapeetham,Department of Computer Science and Engineering,Bengaluru,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin,Amrita School of Computing, Amrita Vishwa Vidyapeetham,Department of Computer Science and Engineering,Bengaluru,India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092005451","display_name":"S. Jaya Amruth","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S Jaya Amruth","raw_affiliation_strings":["University of Wisconsin,Amrita School of Computing, Amrita Vishwa Vidyapeetham,Department of Computer Science and Engineering,Bengaluru,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin,Amrita School of Computing, Amrita Vishwa Vidyapeetham,Department of Computer Science and Engineering,Bengaluru,India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105094151","display_name":"E Suryaa","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"E Suryaa","raw_affiliation_strings":["University of Wisconsin,Amrita School of Computing, Amrita Vishwa Vidyapeetham,Department of Computer Science and Engineering,Bengaluru,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin,Amrita School of Computing, Amrita Vishwa Vidyapeetham,Department of Computer Science and Engineering,Bengaluru,India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022739741","display_name":"Tripty Singh","orcid":"https://orcid.org/0000-0002-3688-4392"},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Tripty Singh","raw_affiliation_strings":["University of Wisconsin,Amrita School of Computing, Amrita Vishwa Vidyapeetham,Department of Computer Science and Engineering,Bengaluru,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin,Amrita School of Computing, Amrita Vishwa Vidyapeetham,Department of Computer Science and Engineering,Bengaluru,India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054990685","display_name":"Prakash Duraisamy","orcid":"https://orcid.org/0000-0001-6446-3766"},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Prakash Duraisamy","raw_affiliation_strings":["University of Wisconsin,Amrita School of Computing, Amrita Vishwa Vidyapeetham,Department of Computer Science and Engineering,Bengaluru,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin,Amrita School of Computing, Amrita Vishwa Vidyapeetham,Department of Computer Science and Engineering,Bengaluru,India","institution_ids":["https://openalex.org/I81556334"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I81556334"],"apc_list":null,"apc_paid":null,"fwci":0.7888,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.78582378,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9940999746322632,"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":0.9940999746322632,"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":0.9861000180244446,"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/T11698","display_name":"Underwater Acoustics Research","score":0.9842000007629395,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6973145008087158},{"id":"https://openalex.org/keywords/underwater","display_name":"Underwater","score":0.5974177122116089},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.5723689198493958},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48407164216041565},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4731524884700775},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37756913900375366},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.34135541319847107},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.13309454917907715}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6973145008087158},{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.5974177122116089},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.5723689198493958},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48407164216041565},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4731524884700775},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37756913900375366},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.34135541319847107},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.13309454917907715},{"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/icccnt61001.2024.10724240","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt61001.2024.10724240","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2790284570","https://openalex.org/W2884421382","https://openalex.org/W2884436604","https://openalex.org/W2892845027","https://openalex.org/W2942471824","https://openalex.org/W3005245144","https://openalex.org/W3011667789","https://openalex.org/W3020334921","https://openalex.org/W3199989184","https://openalex.org/W4281763242","https://openalex.org/W4292793946","https://openalex.org/W4297670517","https://openalex.org/W4312268623","https://openalex.org/W4312441246","https://openalex.org/W4321066973","https://openalex.org/W4379875327","https://openalex.org/W4383600316","https://openalex.org/W4385819826","https://openalex.org/W4391006254","https://openalex.org/W6842138984"],"related_works":["https://openalex.org/W4388412763","https://openalex.org/W1999583034","https://openalex.org/W3217214504","https://openalex.org/W3168963531","https://openalex.org/W3176779361","https://openalex.org/W3163022079","https://openalex.org/W1598401975","https://openalex.org/W2974904990","https://openalex.org/W2365681766","https://openalex.org/W2393963626"],"abstract_inverted_index":{"Restoring":[0],"underwater":[1,26,92,152,185],"images":[2,62,142],"poses":[3],"a":[4,32,48,52,130],"significant":[5],"computational":[6,74],"challenge,":[7],"often":[8],"requiring":[9],"more":[10],"time":[11,80,133],"and":[12,15,51,55,125,134,149,164,175],"resources.":[13],"U-Net":[14],"its":[16],"variants":[17],"are":[18,65,169],"not":[19],"much":[20],"applied":[21],"for":[22,82,88,147,171,181],"the":[23,39,57,60,79,89,117,137,155,161,172],"task":[24,90,95],"of":[25,38,59,67,91,116,132,139],"image":[27,83,93],"restoration":[28,94],"so":[29,63,123],"we":[30,158],"propose":[31],"novel":[33],"approach":[34],"to":[35,46,113],"make":[36],"use":[37],"U-net++":[40,173],"architecture.":[41],"The":[42,85],"aim":[43],"here":[44],"is":[45,99,108],"develop":[47],"U-Net++":[49,107],"model":[50,54,174],"CNN":[53],"analyze":[56],"quality":[58],"restored":[61],"they":[64],"capable":[66],"operating":[68],"efficiently":[69],"on":[70],"systems":[71],"with":[72],"limited":[73],"resources":[75],"while":[76],"significantly":[77],"reducing":[78],"required":[81],"restoration.":[84],"dataset":[86],"used":[87,180],"in":[96,111,128,151,184],"this":[97,126,176],"paper":[98],"Large":[100],"Scale":[101],"Underwater":[102],"Images":[103],"(LSUI).":[104],"This":[105],"particular":[106],"computationally":[109],"efficient":[110],"contrast":[112],"other":[114],"state":[115],"art":[118],"models":[119],"that":[120,160],"were":[121],"developed":[122],"far":[124],"helps":[127],"saving":[129],"lot":[131],"speed":[135],"up":[136],"process":[138],"restoring":[140],"such":[141],"which":[143],"makes":[144],"it":[145],"easier":[146],"research":[148,183],"analysis":[150],"scenarios.":[153],"From":[154],"results":[156],"obtained,":[157],"conclude":[159],"SSIM":[162],"0.9994":[163],"PSNR":[165],"70.2617":[166],"dB":[167],"values":[168],"higher":[170],"architecture":[177],"can":[178],"be":[179],"conducting":[182],"environments.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}