{"id":"https://openalex.org/W4389925745","doi":"https://doi.org/10.1109/tim.2023.3343743","title":"Prior Guided Multiscale Dynamic Deblurring Network for Diffraction Image Restoration in Droplet Measurement","display_name":"Prior Guided Multiscale Dynamic Deblurring Network for Diffraction Image Restoration in Droplet Measurement","publication_year":2023,"publication_date":"2023-12-18","ids":{"openalex":"https://openalex.org/W4389925745","doi":"https://doi.org/10.1109/tim.2023.3343743"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2023.3343743","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3343743","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","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/A5001221654","display_name":"Qiangqiang Liu","orcid":"https://orcid.org/0000-0003-3800-9492"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiangqiang Liu","raw_affiliation_strings":["State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-3800-9492","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101991618","display_name":"Jiankui Chen","orcid":"https://orcid.org/0000-0001-7104-9803"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiankui Chen","raw_affiliation_strings":["State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-7104-9803","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004324946","display_name":"Hua Yang","orcid":"https://orcid.org/0000-0002-5430-5630"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Yang","raw_affiliation_strings":["State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-5430-5630","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053892414","display_name":"Zhouping Yin","orcid":"https://orcid.org/0000-0001-5766-2337"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhouping Yin","raw_affiliation_strings":["State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-5766-2337","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Digital Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5001221654"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":0.8156,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.67438856,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"73","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12537","display_name":"Flow Measurement and Analysis","score":0.9668999910354614,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12537","display_name":"Flow Measurement and Analysis","score":0.9668999910354614,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.90420001745224,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/deblurring","display_name":"Deblurring","score":0.9783028364181519},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.6350759267807007},{"id":"https://openalex.org/keywords/diffraction","display_name":"Diffraction","score":0.6105441451072693},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4570564925670624},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45481076836586},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4402525722980499},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4197443723678589},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4069266617298126},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.22082826495170593},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.20767554640769958}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.9783028364181519},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.6350759267807007},{"id":"https://openalex.org/C207114421","wikidata":"https://www.wikidata.org/wiki/Q133900","display_name":"Diffraction","level":2,"score":0.6105441451072693},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4570564925670624},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45481076836586},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4402525722980499},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4197443723678589},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4069266617298126},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.22082826495170593},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.20767554640769958}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2023.3343743","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3343743","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G3596376429","display_name":null,"funder_award_id":"2018YFA0703203","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6348327484","display_name":null,"funder_award_id":"U22A20208","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7556903864","display_name":null,"funder_award_id":"51975236","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"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W1791560514","https://openalex.org/W1901129140","https://openalex.org/W1930824406","https://openalex.org/W1982376043","https://openalex.org/W2046155154","https://openalex.org/W2047920195","https://openalex.org/W2331128040","https://openalex.org/W2560533888","https://openalex.org/W2562637781","https://openalex.org/W2563786098","https://openalex.org/W2738579427","https://openalex.org/W2741137940","https://openalex.org/W2937506944","https://openalex.org/W2964030969","https://openalex.org/W2982795046","https://openalex.org/W3003954661","https://openalex.org/W3022237966","https://openalex.org/W3035484352","https://openalex.org/W3040557872","https://openalex.org/W3085139254","https://openalex.org/W3093800832","https://openalex.org/W3094348593","https://openalex.org/W3109494165","https://openalex.org/W3131500599","https://openalex.org/W3138516171","https://openalex.org/W3174970555","https://openalex.org/W3175361891","https://openalex.org/W3177152970","https://openalex.org/W3202028501","https://openalex.org/W3202040256","https://openalex.org/W3203911667","https://openalex.org/W3204952166","https://openalex.org/W3208531674","https://openalex.org/W3212022416","https://openalex.org/W3216483416","https://openalex.org/W3217421447","https://openalex.org/W4200462364","https://openalex.org/W4224130636","https://openalex.org/W4225672218","https://openalex.org/W4226453196","https://openalex.org/W4229862590","https://openalex.org/W4288069699","https://openalex.org/W4293370661","https://openalex.org/W4312452088","https://openalex.org/W4312678820","https://openalex.org/W4312812783","https://openalex.org/W4312908055","https://openalex.org/W4312938066","https://openalex.org/W4316660708","https://openalex.org/W4317796705","https://openalex.org/W4319068894","https://openalex.org/W4376651517","https://openalex.org/W4379929735","https://openalex.org/W4382457774","https://openalex.org/W4382677698","https://openalex.org/W6639735606","https://openalex.org/W6680829993","https://openalex.org/W6726497184","https://openalex.org/W6755179280","https://openalex.org/W6757068045","https://openalex.org/W6757817989","https://openalex.org/W6799552132","https://openalex.org/W6800633732","https://openalex.org/W6803427635","https://openalex.org/W6840352845","https://openalex.org/W6843008275","https://openalex.org/W6843557241"],"related_works":["https://openalex.org/W2031788393","https://openalex.org/W791927757","https://openalex.org/W2182590612","https://openalex.org/W2905397092","https://openalex.org/W3153582293","https://openalex.org/W3207832039","https://openalex.org/W2269775642","https://openalex.org/W3080537281","https://openalex.org/W2289746762","https://openalex.org/W2139384960"],"abstract_inverted_index":{"High-precision":[0],"measurement":[1,14,190],"of":[2,121,139,176],"micrometer-scale":[3],"flying":[4],"droplets":[5],"is":[6,16,182],"demanded":[7],"in":[8,63,170,184],"inkjet":[9],"printing":[10],"manufacturing.":[11],"However,":[12],"the":[13,61,96,107,115,119,137,140,177],"accuracy":[15,191],"limited":[17],"by":[18,23],"droplet":[19,64,189],"image":[20,32,65,87,172,186],"degradation":[21,54,71,76,92,116,178],"caused":[22],"optical":[24],"diffraction":[25,47,171],"and":[26,39,42,77,106,124,180],"actual":[27,75],"imaging":[28],"conditions.":[29],"Most":[30],"existing":[31],"restoration":[33],"methods":[34],"focus":[35],"on":[36,160],"defocus":[37],"blur":[38,41],"motion":[40],"pay":[43],"less":[44],"attention":[45],"to":[46,59,73,155,195],"degradation,":[48],"which":[49],"cannot":[50],"handle":[51],"real-world":[52,185],"complex":[53],"well.":[55],"In":[56],"this":[57],"study,":[58],"address":[60],"challenges":[62],"restoration,":[66,187],"we":[67],"propose":[68],"a":[69,78,145],"diffraction-Gaussian":[70],"framework":[72,179],"simulate":[74],"prior":[79,93,102,117,151],"guided":[80,152],"multiscale":[81,108],"dynamic":[82,109,134,153],"deblurring":[83,110,154],"network":[84],"(PDDN)":[85],"for":[86],"restoration.":[88,173],"PDDN":[89,143,166,181],"explicitly":[90],"utilizes":[91],"information":[94],"with":[95,118,150,188],"proposed":[97],"fast":[98],"Fourier":[99],"transform":[100],"(FFT)-based":[101],"extraction":[103],"(FPE)":[104],"module":[105],"(MSDD)":[111],"module.":[112],"FPE":[113],"extracts":[114],"combination":[120],"Weiner":[122],"deconvolution":[123],"deep":[125],"learning.":[126],"MSDD":[127],"restores":[128],"intermediate":[129],"features":[130],"using":[131],"kernel":[132],"prediction-based":[133],"convolution":[135],"under":[136],"guidance":[138],"learned":[141],"prior.":[142],"employs":[144],"U-shaped":[146],"Transformer":[147],"architecture":[148],"along":[149],"achieve":[156],"nonblind":[157],"deblurring.":[158],"Experiments":[159],"four":[161],"synthesized":[162],"datasets":[163],"demonstrate":[164],"that":[165],"achieves":[167],"state-of-the-art":[168],"performance":[169],"The":[174],"effectiveness":[175],"proved":[183],"improved":[192],"from":[193],"3%":[194],"2.42%.":[196]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}