{"id":"https://openalex.org/W3171316591","doi":"https://doi.org/10.1145/3447587.3447617","title":"Underwater Image Enhancement Based on Multi-Scale Spatial and Channel Attention Fusion","display_name":"Underwater Image Enhancement Based on Multi-Scale Spatial and Channel Attention Fusion","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3171316591","doi":"https://doi.org/10.1145/3447587.3447617","mag":"3171316591"},"language":"en","primary_location":{"id":"doi:10.1145/3447587.3447617","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447587.3447617","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 The 4th International Conference on Image and Graphics Processing","raw_type":"proceedings-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/A5110970041","display_name":"Ruoyou Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I44675526","display_name":"Shanghai Ocean University","ror":"https://ror.org/04n40zv07","country_code":"CN","type":"education","lineage":["https://openalex.org/I44675526"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ruoyou Wu","raw_affiliation_strings":["Shanghai Ocean University, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Ocean University, China","institution_ids":["https://openalex.org/I44675526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078134662","display_name":"Dexing Wang","orcid":"https://orcid.org/0009-0004-2914-2675"},"institutions":[{"id":"https://openalex.org/I44675526","display_name":"Shanghai Ocean University","ror":"https://ror.org/04n40zv07","country_code":"CN","type":"education","lineage":["https://openalex.org/I44675526"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dexing Wang","raw_affiliation_strings":["School of Information Shanghai Ocean University, shanghai china"],"affiliations":[{"raw_affiliation_string":"School of Information Shanghai Ocean University, shanghai china","institution_ids":["https://openalex.org/I44675526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101456707","display_name":"Hongchun Yuan","orcid":"https://orcid.org/0000-0002-6869-9159"},"institutions":[{"id":"https://openalex.org/I44675526","display_name":"Shanghai Ocean University","ror":"https://ror.org/04n40zv07","country_code":"CN","type":"education","lineage":["https://openalex.org/I44675526"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongchun Yuan","raw_affiliation_strings":["School of Information Shanghai Ocean University, shanghai china"],"affiliations":[{"raw_affiliation_string":"School of Information Shanghai Ocean University, shanghai china","institution_ids":["https://openalex.org/I44675526"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101803828","display_name":"Peng Gong","orcid":"https://orcid.org/0000-0001-8719-2620"},"institutions":[{"id":"https://openalex.org/I44675526","display_name":"Shanghai Ocean University","ror":"https://ror.org/04n40zv07","country_code":"CN","type":"education","lineage":["https://openalex.org/I44675526"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Gong","raw_affiliation_strings":["School of Information Shanghai Ocean University, shanghai china"],"affiliations":[{"raw_affiliation_string":"School of Information Shanghai Ocean University, shanghai china","institution_ids":["https://openalex.org/I44675526"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5110970041"],"corresponding_institution_ids":["https://openalex.org/I44675526"],"apc_list":null,"apc_paid":null,"fwci":0.0961,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.3697549,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2016","issue":null,"first_page":"200","last_page":"207"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9991000294685364,"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":0.797369658946991},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7486910223960876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7428362369537354},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.7325617074966431},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6685965061187744},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6105795502662659},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.6077959537506104},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5818458795547485},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5310758948326111},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.5175837278366089},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.481414794921875},{"id":"https://openalex.org/keywords/color-correction","display_name":"Color correction","score":0.4772243797779083},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.308418869972229},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.1435924470424652},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.10264208912849426},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08136492967605591}],"concepts":[{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.797369658946991},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7486910223960876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7428362369537354},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.7325617074966431},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6685965061187744},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6105795502662659},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.6077959537506104},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5818458795547485},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5310758948326111},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.5175837278366089},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.481414794921875},{"id":"https://openalex.org/C2779495555","wikidata":"https://www.wikidata.org/wiki/Q5148596","display_name":"Color correction","level":3,"score":0.4772243797779083},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.308418869972229},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.1435924470424652},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.10264208912849426},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08136492967605591},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3447587.3447617","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447587.3447617","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 The 4th International Conference on Image and Graphics Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","score":0.8399999737739563,"display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1979666307","https://openalex.org/W2005676775","https://openalex.org/W2040538966","https://openalex.org/W2056012999","https://openalex.org/W2073623229","https://openalex.org/W2102166818","https://openalex.org/W2172058006","https://openalex.org/W2291140369","https://openalex.org/W2431151470","https://openalex.org/W2474516010","https://openalex.org/W2522234333","https://openalex.org/W2523532944","https://openalex.org/W2592053471","https://openalex.org/W2736396539","https://openalex.org/W2741564377","https://openalex.org/W2792328492","https://openalex.org/W2792459965","https://openalex.org/W2884421382","https://openalex.org/W2884585870","https://openalex.org/W2899190185","https://openalex.org/W2917650600","https://openalex.org/W2966414671","https://openalex.org/W2969714202","https://openalex.org/W3006777311","https://openalex.org/W3099025816","https://openalex.org/W6675513234"],"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":{"Degraded":[0],"underwater":[1,22,36,41,77],"image":[2,23,53,78,113,145],"enhancement":[3],"is":[4,87,97,118,131],"a":[5,25,81,94],"challenging":[6],"task.":[7],"Due":[8],"to":[9,50,99,133],"the":[10,20,45,52,90,101,104,107,110,134],"light":[11],"scattering":[12],"and":[13,30,71,115,122,138,149],"absorption":[14],"of":[15,68,103,109,144],"suspended":[16],"particles":[17],"in":[18,112,142],"water,":[19],"original":[21],"has":[24],"low":[26],"definition,":[27],"blurred":[28],"details,":[29],"color":[31,116,150],"distortion,":[32],"thus":[33],"affecting":[34],"advanced":[35],"visual":[37],"tasks":[38],"such":[39],"as":[40],"target":[42],"detection.":[43],"However,":[44],"existing":[46,91,135],"methods":[47,137],"are":[48],"difficult":[49],"enhance":[51,100],"details":[54],"effectively.":[55],"In":[56],"this":[57],"paper,":[58],"we":[59],"proposed":[60],"an":[61],"effective":[62],"deep":[63,139],"convolutional":[64],"neural":[65],"network":[66],"model":[67,111],"multi-scale":[69],"spatial":[70],"channel":[72],"attention":[73],"fusion":[74],"(MS-SCANet)":[75],"for":[76],"enhancement.":[79],"First,":[80],"new":[82],"training":[83],"data":[84],"set":[85],"(UIRDs)":[86],"constructed":[88,98],"from":[89],"data.":[92],"Then,":[93],"multi-loss":[95],"function":[96],"detail":[102,147],"image.":[105],"Finally,":[106],"performance":[108],"visibility":[114],"correction":[117],"discussed.":[119],"Through":[120],"experiments":[121],"comparative":[123],"analysis":[124],"on":[125],"two":[126],"test":[127],"sets,":[128],"our":[129],"method":[130],"superior":[132],"traditional":[136],"learning":[140],"models":[141],"terms":[143],"visibility,":[146],"enhancement,":[148],"correction.":[151]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}