{"id":"https://openalex.org/W3020334921","doi":"https://doi.org/10.1109/lsp.2020.2988590","title":"Deep Underwater Image Restoration and Beyond","display_name":"Deep Underwater Image Restoration and Beyond","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3020334921","doi":"https://doi.org/10.1109/lsp.2020.2988590","mag":"3020334921"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2020.2988590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2020.2988590","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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":"https://openalex.org/A5014376368","display_name":"Akshay Dudhane","orcid":"https://orcid.org/0000-0002-0908-1930"},"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":true,"raw_author_name":"Akshay Dudhane","raw_affiliation_strings":["Electrical Engineering Department, CVPR Lab, IIT Ropar, Rupnagar, India"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, CVPR Lab, IIT Ropar, Rupnagar, India","institution_ids":["https://openalex.org/I119241673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091700001","display_name":"Praful Hambarde","orcid":"https://orcid.org/0000-0002-7976-9095"},"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":"Praful Hambarde","raw_affiliation_strings":["Electrical Engineering Department, CVPR Lab, IIT Ropar, Rupnagar, India"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, CVPR Lab, IIT Ropar, Rupnagar, India","institution_ids":["https://openalex.org/I119241673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050348715","display_name":"Prashant W. Patil","orcid":"https://orcid.org/0000-0003-2604-6501"},"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":"Prashant Patil","raw_affiliation_strings":["Electrical Engineering Department, CVPR Lab, IIT Ropar, Rupnagar, India"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, CVPR Lab, IIT Ropar, Rupnagar, India","institution_ids":["https://openalex.org/I119241673"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032409915","display_name":"Subrahmanyam Murala","orcid":"https://orcid.org/0000-0003-3384-4368"},"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":"Subrahmanyam Murala","raw_affiliation_strings":["Electrical Engineering Department, CVPR Lab, IIT Ropar, Rupnagar, India"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, CVPR Lab, IIT Ropar, Rupnagar, India","institution_ids":["https://openalex.org/I119241673"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5014376368"],"corresponding_institution_ids":["https://openalex.org/I119241673"],"apc_list":null,"apc_paid":null,"fwci":5.897,"has_fulltext":false,"cited_by_count":104,"citation_normalized_percentile":{"value":0.97129513,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"27","issue":null,"first_page":"675","last_page":"679"},"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":0.9994000196456909,"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":0.9986000061035156,"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":0.9031662940979004},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.7726207971572876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7337774038314819},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6710989475250244},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.650574803352356},{"id":"https://openalex.org/keywords/attenuation","display_name":"Attenuation","score":0.6189068555831909},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5937912464141846},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5424450635910034},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4513229727745056},{"id":"https://openalex.org/keywords/color-correction","display_name":"Color correction","score":0.4148155152797699},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.39026227593421936},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3620237708091736},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.25731849670410156},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.19952130317687988},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1894797682762146},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1649247705936432},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12179747223854065}],"concepts":[{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.9031662940979004},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.7726207971572876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7337774038314819},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6710989475250244},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.650574803352356},{"id":"https://openalex.org/C184652730","wikidata":"https://www.wikidata.org/wiki/Q2357982","display_name":"Attenuation","level":2,"score":0.6189068555831909},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5937912464141846},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5424450635910034},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4513229727745056},{"id":"https://openalex.org/C2779495555","wikidata":"https://www.wikidata.org/wiki/Q5148596","display_name":"Color correction","level":3,"score":0.4148155152797699},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.39026227593421936},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3620237708091736},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.25731849670410156},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.19952130317687988},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1894797682762146},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1649247705936432},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12179747223854065},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"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/lsp.2020.2988590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2020.2988590","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W1973569872","https://openalex.org/W1976263166","https://openalex.org/W1980434677","https://openalex.org/W1982471090","https://openalex.org/W2055447163","https://openalex.org/W2081140338","https://openalex.org/W2091420866","https://openalex.org/W2097900287","https://openalex.org/W2128254161","https://openalex.org/W2135001643","https://openalex.org/W2160956336","https://openalex.org/W2194775991","https://openalex.org/W2293581118","https://openalex.org/W2294668072","https://openalex.org/W2440817021","https://openalex.org/W2474516010","https://openalex.org/W2587107113","https://openalex.org/W2593797484","https://openalex.org/W2596058005","https://openalex.org/W2612445135","https://openalex.org/W2752646460","https://openalex.org/W2763503841","https://openalex.org/W2767009334","https://openalex.org/W2783488367","https://openalex.org/W2794405642","https://openalex.org/W2831859938","https://openalex.org/W2902845285","https://openalex.org/W2913152041","https://openalex.org/W2921997090","https://openalex.org/W2963073614","https://openalex.org/W2963130865","https://openalex.org/W2963446712","https://openalex.org/W2963629021","https://openalex.org/W2966552252","https://openalex.org/W2967047368","https://openalex.org/W2968843523","https://openalex.org/W2970828071","https://openalex.org/W2990176100","https://openalex.org/W3099025816","https://openalex.org/W3099562471","https://openalex.org/W4297775537","https://openalex.org/W6737664043","https://openalex.org/W6748171559","https://openalex.org/W6753322352"],"related_works":["https://openalex.org/W4226332782","https://openalex.org/W3176779361","https://openalex.org/W3163022079","https://openalex.org/W4389777547","https://openalex.org/W4313029978","https://openalex.org/W2616936297","https://openalex.org/W4383108568","https://openalex.org/W4323651220","https://openalex.org/W4386797943","https://openalex.org/W3007932172"],"abstract_inverted_index":{"Underwater":[0],"image":[1,47,98,104,153,176],"restoration":[2,154],"is":[3,16,52,72,106,126,149,167],"a":[4,40,100],"challenging":[5],"problem":[6],"due":[7,18],"to":[8,19,91],"the":[9,14,20,76,81,86,93,130,134,139,164,170],"multiple":[10],"distortions.":[11,121,145],"Degradation":[12],"in":[13,85],"information":[15,84],"mainly":[17],"1)":[21],"light":[22,116,140],"scattering":[23,117,141],"effect":[24,125,136],"2)":[25],"wavelength":[26],"dependent":[27],"color":[28,59,119,143],"attenuation":[29,120,144],"and":[30,63,79,118,142],"3)":[31],"object":[32,123],"blurriness":[33,124],"effect.":[34],"In":[35],"this":[36],"letter,":[37],"we":[38],"propose":[39],"novel":[41],"end-to-end":[42],"deep":[43],"network":[44,51,95,148,166],"for":[45,96,151,174],"underwater":[46,88,97,103,110,152,158,175],"restoration.":[48,177],"The":[49,146],"proposed":[50,94,147,165],"divided":[53],"into":[54],"two":[55],"parts":[56],"viz.":[57],"channel-wise":[58],"feature":[60,65],"extraction":[61,66],"module":[62],"dense-residual":[64],"module.":[67],"A":[68],"custom":[69],"loss":[70],"function":[71],"proposed,":[73],"which":[74],"preserves":[75],"structural":[77],"details":[78],"generates":[80],"true":[82],"edge":[83],"restored":[87],"scene.":[89],"Also,":[90],"train":[92],"enhancement,":[99],"new":[101],"synthetic":[102,109],"database":[105,111],"proposed.":[107],"Existing":[108],"images":[112],"are":[113],"characterized":[114],"by":[115],"However,":[122],"ignored.":[127],"We,":[128],"on":[129,156],"other":[131],"hand,":[132],"introduced":[133],"blurring":[135],"along":[137],"with":[138],"validated":[150],"task":[155],"real-world":[157],"images.":[159],"Experimental":[160],"analysis":[161],"shows":[162],"that":[163],"superior":[168],"than":[169],"existing":[171],"state-of-the-art":[172],"approaches":[173]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":28},{"year":2023,"cited_by_count":18},{"year":2022,"cited_by_count":23},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":3}],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2025-10-10T00:00:00"}