{"id":"https://openalex.org/W2609670378","doi":"https://doi.org/10.1109/icpr.2016.7899723","title":"Fast motion deblurring using gyroscopes and strong edge prediction","display_name":"Fast motion deblurring using gyroscopes and strong edge prediction","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2609670378","doi":"https://doi.org/10.1109/icpr.2016.7899723","mag":"2609670378"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2016.7899723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7899723","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","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/A5100995722","display_name":"Jiacai Zhao","orcid":null},"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":"Jiacai Zhao","raw_affiliation_strings":["Multi-spectral Information Processing, Huazhong University of Science and Technology, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"Multi-spectral Information Processing, Huazhong University of Science and Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101807673","display_name":"Jie Ma","orcid":"https://orcid.org/0000-0003-1996-5163"},"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":"Jie Ma","raw_affiliation_strings":["Multi-spectral Information Processing, Huazhong University of Science and Technology, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"Multi-spectral Information Processing, Huazhong University of Science and Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047648083","display_name":"Bin Fang","orcid":"https://orcid.org/0000-0002-9788-4388"},"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":"Bin Fang","raw_affiliation_strings":["Multi-spectral Information Processing, Huazhong University of Science and Technology, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"Multi-spectral Information Processing, Huazhong University of Science and Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084787849","display_name":"Siwen Quan","orcid":"https://orcid.org/0000-0001-7579-937X"},"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":"Siwen Quan","raw_affiliation_strings":["Multi-spectral Information Processing, Huazhong University of Science and Technology, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"Multi-spectral Information Processing, Huazhong University of Science and Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114024321","display_name":"Fangyu Hu","orcid":null},"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":"Fangyu Hu","raw_affiliation_strings":["Multi-spectral Information Processing, Huazhong University of Science and Technology, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"Multi-spectral Information Processing, Huazhong University of Science and Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100995722"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.20355111,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"739","last_page":"744"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","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/T11897","display_name":"Digital Holography and Microscopy","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/deblurring","display_name":"Deblurring","score":0.9738951921463013},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7668472528457642},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6998997926712036},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6903095841407776},{"id":"https://openalex.org/keywords/gyroscope","display_name":"Gyroscope","score":0.6670873165130615},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6361507177352905},{"id":"https://openalex.org/keywords/motion-blur","display_name":"Motion blur","score":0.5616443157196045},{"id":"https://openalex.org/keywords/point-spread-function","display_name":"Point spread function","score":0.5559064149856567},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.43062078952789307},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.32956552505493164},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3216882646083832},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2219471037387848},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0879906415939331}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.9738951921463013},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7668472528457642},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6998997926712036},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6903095841407776},{"id":"https://openalex.org/C158488048","wikidata":"https://www.wikidata.org/wiki/Q483400","display_name":"Gyroscope","level":2,"score":0.6670873165130615},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6361507177352905},{"id":"https://openalex.org/C2777708103","wikidata":"https://www.wikidata.org/wiki/Q852589","display_name":"Motion blur","level":3,"score":0.5616443157196045},{"id":"https://openalex.org/C69179731","wikidata":"https://www.wikidata.org/wiki/Q510427","display_name":"Point spread function","level":2,"score":0.5559064149856567},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.43062078952789307},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.32956552505493164},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3216882646083832},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2219471037387848},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0879906415939331},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"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/icpr.2016.7899723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7899723","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6600000262260437,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W199374452","https://openalex.org/W1598281290","https://openalex.org/W1976730913","https://openalex.org/W1983996877","https://openalex.org/W1987075379","https://openalex.org/W1988446025","https://openalex.org/W2015015901","https://openalex.org/W2023585283","https://openalex.org/W2052227619","https://openalex.org/W2057220024","https://openalex.org/W2098535678","https://openalex.org/W2099244020","https://openalex.org/W2135238609","https://openalex.org/W2141115311","https://openalex.org/W2287893467","https://openalex.org/W2293491552","https://openalex.org/W6635527474"],"related_works":["https://openalex.org/W4224288641","https://openalex.org/W4382450485","https://openalex.org/W4229459996","https://openalex.org/W2232201529","https://openalex.org/W2066613488","https://openalex.org/W2031788393","https://openalex.org/W2558246008","https://openalex.org/W2982126779","https://openalex.org/W2127643882","https://openalex.org/W2378723235"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,13,42,61,89,99],"fast":[4],"deblurring":[5,189],"algorithm":[6],"to":[7,34,59,77,97,122,127,211],"remove":[8],"camera":[9],"motion":[10],"blur":[11,25,214],"from":[12,67,102,136],"single":[14],"photograph":[15],"using":[16],"built-in":[17],"gyroscopes":[18,58],"and":[19,155,182,187],"strong":[20,134],"edge":[21],"prediction.":[22],"An":[23],"inaccurate":[24],"kernel":[26],"or":[27],"point":[28],"spread":[29],"function":[30],"(PSF)":[31],"usually":[32],"leads":[33],"an":[35,73,129,137],"unsatisfying":[36],"restored":[37],"result.":[38],"Hence,":[39],"we":[40,54,87,144],"propose":[41],"robust":[43],"three-phase":[44],"method":[45,160,171,206],"for":[46],"accurate":[47,130],"PSF":[48,66,85,113,126],"estimation.":[49],"In":[50,75,141,168],"the":[51,56,65,68,79,83,94,103,108,111,124,146,158,176,192,199,204,208,213],"first":[52,200],"stage,":[53],"utilize":[55],"embedded":[57],"compute":[60],"coarse":[62,112,125],"version":[63],"of":[64,82,110,149,194],"camera's":[69],"angular":[70],"velocity":[71],"during":[72],"exposure.":[74],"order":[76],"reduce":[78],"execution":[80],"time":[81,186],"later":[84],"modification,":[86],"introduce":[88],"patch":[90],"selection":[91],"procedure":[92],"in":[93,115],"second":[95],"stage":[96,116],"choose":[98],"suitable":[100],"region":[101],"blurry":[104],"image":[105],"based":[106],"on":[107],"size":[109],"estimated":[114,138],"one.":[117],"The":[118],"third":[119],"phase":[120],"aims":[121],"modify":[123],"obtain":[128],"one":[131],"by":[132],"predicting":[133],"edges":[135],"latent":[139],"image.":[140],"our":[142,170,195],"experiments,":[143],"compare":[145],"restoration":[147],"performance":[148],"several":[150],"state-of-the-art":[151],"approaches":[152],"including":[153],"ours":[154],"find":[156],"that":[157,202],"proposed":[159],"outperforms":[161],"others":[162],"qualitatively":[163],"as":[164,166],"well":[165],"quantitatively.":[167],"addition,":[169],"is":[172,198],"also":[173],"compared":[174],"with":[175,207],"multi-scale":[177],"approach":[178,210],"without":[179],"gyroscope":[180],"data":[181],"shows":[183],"shorter":[184],"processing":[185],"comparable":[188],"quality.":[190],"To":[191],"best":[193],"knowledge,":[196],"this":[197],"work":[201],"combines":[203],"sensor-aided":[205],"image-based":[209],"estimate":[212],"kernel.":[215]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}