{"id":"https://openalex.org/W4296437961","doi":"https://doi.org/10.1109/tgrs.2022.3207828","title":"A Nonblind Deconvolution Method by Bias Correction for Inaccurate Blur Kernel Estimation in Image Deblurring","display_name":"A Nonblind Deconvolution Method by Bias Correction for Inaccurate Blur Kernel Estimation in Image Deblurring","publication_year":2022,"publication_date":"2022-09-19","ids":{"openalex":"https://openalex.org/W4296437961","doi":"https://doi.org/10.1109/tgrs.2022.3207828"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2022.3207828","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3207828","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","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/A5089491113","display_name":"Jie Han","orcid":"https://orcid.org/0000-0003-3376-3592"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Han","raw_affiliation_strings":["School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-3376-3592","affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100690353","display_name":"Songlin Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songlin Zhang","raw_affiliation_strings":["College of Surveying and Geo-Informatics, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Surveying and Geo-Informatics, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100731637","display_name":"Zhen Ye","orcid":"https://orcid.org/0000-0003-3559-0816"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Ye","raw_affiliation_strings":["College of Surveying and Geo-Informatics, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Surveying and Geo-Informatics, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8809,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.74251725,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","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/T11105","display_name":"Advanced Image Processing Techniques","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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9988999962806702,"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":0.9961000084877014,"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/deblurring","display_name":"Deblurring","score":0.9200363159179688},{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.8424357771873474},{"id":"https://openalex.org/keywords/latent-image","display_name":"Latent image","score":0.6945687532424927},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.693832278251648},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.6718245148658752},{"id":"https://openalex.org/keywords/blind-deconvolution","display_name":"Blind deconvolution","score":0.6406874656677246},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5472079515457153},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.525432288646698},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5089116096496582},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3882870376110077},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3643878698348999},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.353132963180542},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3454059958457947},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3142480254173279},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13754567503929138},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.081724613904953}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.9200363159179688},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.8424357771873474},{"id":"https://openalex.org/C205372313","wikidata":"https://www.wikidata.org/wiki/Q355645","display_name":"Latent image","level":3,"score":0.6945687532424927},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.693832278251648},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.6718245148658752},{"id":"https://openalex.org/C30044814","wikidata":"https://www.wikidata.org/wiki/Q11334452","display_name":"Blind deconvolution","level":3,"score":0.6406874656677246},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5472079515457153},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.525432288646698},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5089116096496582},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3882870376110077},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3643878698348999},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.353132963180542},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3454059958457947},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3142480254173279},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13754567503929138},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.081724613904953},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2022.3207828","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3207828","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.41999998688697815}],"awards":[{"id":"https://openalex.org/G161248764","display_name":"\u7efc\u5408\u591a\u6e90\u89c2\u6d4b\u6570\u636e\u7684\u9ad8\u5206\u8fa8\u7387\u536b\u661f\u98a4\u632f\u7cbe\u51c6\u63a2\u6d4b\u8865\u507f\u4e0e\u65f6\u53d8\u89c4\u5f8b\u5efa \u6a21\u65b9\u6cd5\u7814\u7a76","funder_award_id":"21ZR1468100","funder_id":"https://openalex.org/F4320309612","funder_display_name":"Natural Science Foundation of Shanghai"},{"id":"https://openalex.org/G2277136655","display_name":null,"funder_award_id":"2022R118","funder_id":"https://openalex.org/F4320335990","funder_display_name":"Startup Foundation for Introducing Talent of Nanjing University of Information Science and Technology"},{"id":"https://openalex.org/G7224450327","display_name":null,"funder_award_id":"19ZR1459700","funder_id":"https://openalex.org/F4320309612","funder_display_name":"Natural Science Foundation of Shanghai"}],"funders":[{"id":"https://openalex.org/F4320309612","display_name":"Natural Science Foundation of Shanghai","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320335990","display_name":"Startup Foundation for Introducing Talent of Nanjing University of Information Science and Technology","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":75,"referenced_works":["https://openalex.org/W606240784","https://openalex.org/W1510355813","https://openalex.org/W1598281290","https://openalex.org/W1598936309","https://openalex.org/W1965316428","https://openalex.org/W1973567017","https://openalex.org/W1987075379","https://openalex.org/W1992309968","https://openalex.org/W1994321112","https://openalex.org/W2008229822","https://openalex.org/W2025900737","https://openalex.org/W2032506791","https://openalex.org/W2036682493","https://openalex.org/W2044810215","https://openalex.org/W2045147903","https://openalex.org/W2047123483","https://openalex.org/W2048695508","https://openalex.org/W2084423326","https://openalex.org/W2088691392","https://openalex.org/W2088909704","https://openalex.org/W2098535678","https://openalex.org/W2103913786","https://openalex.org/W2133665775","https://openalex.org/W2138204001","https://openalex.org/W2167307343","https://openalex.org/W2170608748","https://openalex.org/W2172275395","https://openalex.org/W2204607243","https://openalex.org/W2294970404","https://openalex.org/W2474628748","https://openalex.org/W2552111036","https://openalex.org/W2563327978","https://openalex.org/W2610550134","https://openalex.org/W2740543610","https://openalex.org/W2757659728","https://openalex.org/W2759428153","https://openalex.org/W2766398684","https://openalex.org/W2771305881","https://openalex.org/W2790361546","https://openalex.org/W2792330464","https://openalex.org/W2798840374","https://openalex.org/W2839261974","https://openalex.org/W2888835593","https://openalex.org/W2894652550","https://openalex.org/W2900331589","https://openalex.org/W2903571355","https://openalex.org/W2909370557","https://openalex.org/W2920778950","https://openalex.org/W2946987243","https://openalex.org/W2955179830","https://openalex.org/W2963130865","https://openalex.org/W2964013315","https://openalex.org/W2964116203","https://openalex.org/W2973247625","https://openalex.org/W2973468176","https://openalex.org/W2996868574","https://openalex.org/W2997978768","https://openalex.org/W3003954661","https://openalex.org/W3008618604","https://openalex.org/W3009226622","https://openalex.org/W3034724715","https://openalex.org/W3035530631","https://openalex.org/W3065039129","https://openalex.org/W3081108418","https://openalex.org/W3092426727","https://openalex.org/W3102662667","https://openalex.org/W3104724358","https://openalex.org/W3110887704","https://openalex.org/W3170697543","https://openalex.org/W3215136316","https://openalex.org/W4229459659","https://openalex.org/W4247043502","https://openalex.org/W4254979477","https://openalex.org/W6678856934","https://openalex.org/W6681807782"],"related_works":["https://openalex.org/W2066613488","https://openalex.org/W2031788393","https://openalex.org/W2182590612","https://openalex.org/W2022101081","https://openalex.org/W791927757","https://openalex.org/W2269775642","https://openalex.org/W2539119970","https://openalex.org/W3080537281","https://openalex.org/W2905397092","https://openalex.org/W1965202376"],"abstract_inverted_index":{"The":[0,14],"blur":[1,15,60,77,106,126],"kernel":[2,16,61,107,127],"estimated":[3],"by":[4,72,102],"a":[5,68,135,166],"blind":[6],"deblurring":[7],"algorithm":[8,154],"is":[9,18,128,132,148,155,169,177,221],"hardly":[10],"to":[11,54,159,171,179,202,223],"be":[12],"error-free.":[13],"error":[17],"usually":[19],"ignored":[20],"in":[21,29,41,79,97,183],"the":[22,38,42,56,59,86,89,99,114,140,144,161,173,204,211],"nonblind":[23,69,146,230],"deconvolution":[24,70,231],"stage":[25],"and":[26,51,122,150,157,192,219],"may":[27],"result":[28],"severe":[30],"artifacts":[31],"or":[32,224],"other":[33],"negative":[34],"effects.":[35],"In":[36],"addition,":[37],"bias":[39,73,100,174],"hidden":[40],"blurry":[43,109],"image":[44,110,121,182],"formation":[45,111],"model":[46],"has":[47],"not":[48],"been":[49],"found":[50],"investigated":[52],"due":[53],"ignoring":[55],"existence":[57],"of":[58,88,104,118,124,143],"errors.":[62],"To":[63],"this":[64,80],"end,":[65],"we":[66,95],"develop":[67],"method":[71,147,168,213],"correction":[74],"for":[75],"inaccurate":[76,105,125],"kernels":[78],"article,":[81],"which":[82,131,176],"are":[83,199],"constructed":[84],"on":[85],"basis":[87],"classic":[90],"errors-in-variables":[91],"(EIVs)":[92],"model.":[93,112],"First":[94],"analyze":[96],"detail":[98],"caused":[101],"errors":[103,123],"from":[108],"Next,":[113],"latent":[115,120,162],"sparsity":[116],"property":[117],"jointed":[119],"counted":[129],"statistically,":[130],"imposed":[133],"as":[134],"new":[136,145],"regularization":[137],"term.":[138],"Then,":[139],"objective":[141],"function":[142],"established,":[149],"an":[151],"alternative":[152],"minimization":[153],"derived":[156],"employed":[158],"estimate":[160],"clear":[163],"image.":[164],"Furthermore,":[165],"filtering":[167],"utilized":[170],"modify":[172],"term,":[175],"added":[178],"amend":[180],"intermediate":[181],"each":[184],"iteration.":[185],"Finally,":[186],"extensive":[187],"experiments":[188],"with":[189],"benchmark":[190],"datasets":[191],"blurred":[193],"micro-nano":[194],"satellite":[195],"remote":[196],"sensing":[197],"images":[198],"carried":[200],"out":[201],"evaluate":[203],"proposed":[205,212],"method.":[206],"Experimental":[207],"results":[208],"demonstrate":[209],"that":[210],"can":[214],"obtain":[215],"high-quality":[216],"restored":[217],"images,":[218],"it":[220],"comparable":[222],"even":[225],"better":[226],"than":[227],"some":[228],"state-of-the-art":[229],"methods.":[232]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-13T07:31:44.756512","created_date":"2025-10-10T00:00:00"}