{"id":"https://openalex.org/W4313886708","doi":"https://doi.org/10.1109/tai.2023.3235342","title":"Blind Image Despeckling Using a Multiscale Attention-Guided Neural Network","display_name":"Blind Image Despeckling Using a Multiscale Attention-Guided Neural Network","publication_year":2023,"publication_date":"2023-01-09","ids":{"openalex":"https://openalex.org/W4313886708","doi":"https://doi.org/10.1109/tai.2023.3235342"},"language":"en","primary_location":{"id":"doi:10.1109/tai.2023.3235342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2023.3235342","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":"https://openalex.org/A5037365971","display_name":"Yu Guo","orcid":"https://orcid.org/0000-0002-0642-7684"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Guo","raw_affiliation_strings":["School of Navigation, Wuhan University of Technology, Wuhan, China","Chongqing Research Institute, Wuhan University of Technology, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-0642-7684","affiliations":[{"raw_affiliation_string":"School of Navigation, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]},{"raw_affiliation_string":"Chongqing Research Institute, Wuhan University of Technology, Chongqing, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015241563","display_name":"Yuxu Lu","orcid":"https://orcid.org/0000-0001-9845-7516"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxu Lu","raw_affiliation_strings":["School of Navigation, Wuhan University of Technology, Wuhan, China","Chongqing Research Institute, Wuhan University of Technology, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0001-9845-7516","affiliations":[{"raw_affiliation_string":"School of Navigation, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]},{"raw_affiliation_string":"Chongqing Research Institute, Wuhan University of Technology, Chongqing, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061907283","display_name":"Ryan Wen Liu","orcid":"https://orcid.org/0000-0002-1591-5583"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ryan Wen Liu","raw_affiliation_strings":["School of Navigation, Wuhan University of Technology, Wuhan, China","Chongqing Research Institute, Wuhan University of Technology, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-1591-5583","affiliations":[{"raw_affiliation_string":"School of Navigation, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]},{"raw_affiliation_string":"Chongqing Research Institute, Wuhan University of Technology, Chongqing, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042359485","display_name":"Fenghua Zhu","orcid":"https://orcid.org/0000-0003-2886-6968"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fenghua Zhu","raw_affiliation_strings":["State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2886-6968","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7547,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.85015555,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"5","issue":"1","first_page":"205","last_page":"216"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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":0.9977999925613403,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9972000122070312,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6406551599502563},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.616793155670166},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5995199084281921},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5842005014419556},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5288661122322083},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33697786927223206}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6406551599502563},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.616793155670166},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5995199084281921},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5842005014419556},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5288661122322083},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33697786927223206}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tai.2023.3235342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2023.3235342","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":[{"id":"https://metadata.un.org/sdg/8","score":0.5199999809265137,"display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G8346035786","display_name":null,"funder_award_id":"52271365","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1580389772","https://openalex.org/W1912194039","https://openalex.org/W1930824406","https://openalex.org/W1970185025","https://openalex.org/W1973207880","https://openalex.org/W2003884262","https://openalex.org/W2004376198","https://openalex.org/W2064556594","https://openalex.org/W2079071390","https://openalex.org/W2131686571","https://openalex.org/W2133665775","https://openalex.org/W2141983208","https://openalex.org/W2144851790","https://openalex.org/W2158347164","https://openalex.org/W2160547390","https://openalex.org/W2163398148","https://openalex.org/W2412782625","https://openalex.org/W2508457857","https://openalex.org/W2519079409","https://openalex.org/W2565639579","https://openalex.org/W2601495055","https://openalex.org/W2604403460","https://openalex.org/W2621042270","https://openalex.org/W2630837129","https://openalex.org/W2744192309","https://openalex.org/W2757678917","https://openalex.org/W2766297036","https://openalex.org/W2770938193","https://openalex.org/W2792469128","https://openalex.org/W2822747609","https://openalex.org/W2888832887","https://openalex.org/W2895638094","https://openalex.org/W2899928528","https://openalex.org/W2954537798","https://openalex.org/W2962749812","https://openalex.org/W2963583038","https://openalex.org/W2990939478","https://openalex.org/W2995593523","https://openalex.org/W3018472963","https://openalex.org/W3025007558","https://openalex.org/W3025121970","https://openalex.org/W3025800623","https://openalex.org/W3035042749","https://openalex.org/W3041734050","https://openalex.org/W3060703154","https://openalex.org/W3077327398","https://openalex.org/W3085462114","https://openalex.org/W3105425562","https://openalex.org/W3112727310","https://openalex.org/W3113142645","https://openalex.org/W3117838233","https://openalex.org/W3196269934","https://openalex.org/W3197254715","https://openalex.org/W3201267235","https://openalex.org/W4200291287","https://openalex.org/W4205370697","https://openalex.org/W4225580305","https://openalex.org/W4295915283","https://openalex.org/W4385245566","https://openalex.org/W6631190155","https://openalex.org/W6739696289","https://openalex.org/W6739901393","https://openalex.org/W6745563134","https://openalex.org/W6973812890"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Coherent":[0],"imaging":[1,68,158],"systems":[2],"have":[3,194],"been":[4],"applied":[5],"in":[6,128,218],"the":[7,29,47,75,100,105,129,134,138,149,157,170,183,187,190,197,200,205],"detection":[8],"of":[9,11,32,67,137,186,189,202,220],"target":[10],"interest,":[12],"natural":[13],"resource":[14],"exploration,":[15],"ailment":[16],"diagnosis,":[17],"etc.":[18],"However,":[19],"it":[20],"is":[21,41,51,121,146,165],"easy":[22],"to":[23,28,80,103,110,124,151,168,182],"generate":[24],"speckle-degraded":[25],"images":[26,127,178],"due":[27],"coherent":[30],"interference":[31,44],"reflected":[33],"echoes,":[34],"restricting":[35],"these":[36],"practical":[37],"applications.":[38],"Speckle":[39],"noise":[40,56,84,108,207],"a":[42,58,117,140],"granular":[43],"that":[45,196],"affects":[46],"observed":[48],"reflectivity.":[49],"It":[50,212],"often":[52],"modeled":[53],"as":[54],"multiplicative":[55,106],"with":[57],"negative":[59],"exponential":[60,184],"distribution.":[61],"This":[62],"nonlinear":[63],"property":[64],"makes":[65],"despeckling":[66,76,216],"data":[69],"an":[70,86,111],"intractable":[71],"problem.":[72],"To":[73,132],"enhance":[74,133],"performance,":[77],"we":[78,97],"propose":[79],"blindly":[81],"remove":[82],"speckle":[83,107,206],"using":[85],"intelligent":[87],"computing-enabled":[88],"multiscale":[89,141,153,161],"attention-guided":[90],"neural":[91],"network":[92,171],"(termed":[93],"MSANN).":[94],"In":[95],"particular,":[96],"first":[98],"introduce":[99],"logarithmic":[101,130],"transformation":[102],"convert":[104],"model":[109],"additive":[112],"version.":[113],"Our":[114],"MSANN,":[115,139],"essentially":[116],"feature":[118,142],"pyramid":[119],"network,":[120],"then":[122],"exploited":[123],"restore":[125],"degraded":[126],"domain.":[131],"generalization":[135],"ability":[136],"enhancement":[143],"attention":[144],"module":[145],"incorporated":[147],"into":[148],"MSANN":[150,198],"extract":[152],"features":[154],"for":[155],"improving":[156],"quality.":[159],"A":[160],"mixed":[162],"loss":[163],"function":[164],"further":[166],"presented":[167],"increase":[169],"robustness":[172],"during":[173],"training.":[174],"The":[175],"final":[176],"despeckled":[177],"are":[179],"naturally":[180],"equivalent":[181],"versions":[185],"output":[188],"MSANN.":[191],"Experimental":[192],"results":[193,217],"shown":[195],"has":[199],"capacity":[201],"effectively":[203],"removing":[204],"while":[208],"preserving":[209],"essential":[210],"structures.":[211],"can":[213],"achieve":[214],"superior":[215],"terms":[219],"visual":[221],"quality":[222],"and":[223],"quantitative":[224],"measures.":[225]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4}],"updated_date":"2026-07-25T09:21:30.201066","created_date":"2025-10-10T00:00:00"}
