{"id":"https://openalex.org/W1988446025","doi":"https://doi.org/10.1145/1778765.1778767","title":"Image deblurring using inertial measurement sensors","display_name":"Image deblurring using inertial measurement sensors","publication_year":2010,"publication_date":"2010-07-15","ids":{"openalex":"https://openalex.org/W1988446025","doi":"https://doi.org/10.1145/1778765.1778767","mag":"1988446025"},"language":"en","primary_location":{"id":"doi:10.1145/1778765.1778767","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1778765.1778767","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","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/A5072006037","display_name":"Neel Joshi","orcid":"https://orcid.org/0000-0001-8236-3566"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]},{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["GB","US"],"is_corresponding":true,"raw_author_name":"Neel Joshi","raw_affiliation_strings":["Microsoft Research","Microsoft research#TAB#"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Microsoft research#TAB#","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004671096","display_name":"Sing Bing Kang","orcid":"https://orcid.org/0000-0003-2016-2915"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Sing Bing Kang","raw_affiliation_strings":["Microsoft Research","Microsoft research#TAB#"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Microsoft research#TAB#","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058450549","display_name":"C. Lawrence Zitnick","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]},{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"C. Lawrence Zitnick","raw_affiliation_strings":["Microsoft Research","Microsoft research#TAB#"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Microsoft research#TAB#","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077002817","display_name":"Richard Szeliski","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]},{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Richard Szeliski","raw_affiliation_strings":["Microsoft Research","Microsoft research#TAB#"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Microsoft research#TAB#","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5072006037"],"corresponding_institution_ids":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"],"apc_list":null,"apc_paid":null,"fwci":30.9152,"has_fulltext":false,"cited_by_count":277,"citation_normalized_percentile":{"value":0.9980606,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":"29","issue":"4","first_page":"1","last_page":"9"},"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":0.9990000128746033,"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":0.9987999796867371,"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":0.9690654873847961},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.805332601070404},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7981964349746704},{"id":"https://openalex.org/keywords/motion-blur","display_name":"Motion blur","score":0.7031735777854919},{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.6939795017242432},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6669117212295532},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6637992262840271},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5370897650718689},{"id":"https://openalex.org/keywords/gyroscope","display_name":"Gyroscope","score":0.48002782464027405},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.45854994654655457},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.4421549439430237},{"id":"https://openalex.org/keywords/image-sensor","display_name":"Image sensor","score":0.4201834201812744},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.3935950994491577},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.36501848697662354},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.32624420523643494},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1607997715473175},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12394288182258606}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.9690654873847961},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.805332601070404},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7981964349746704},{"id":"https://openalex.org/C2777708103","wikidata":"https://www.wikidata.org/wiki/Q852589","display_name":"Motion blur","level":3,"score":0.7031735777854919},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.6939795017242432},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6669117212295532},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6637992262840271},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5370897650718689},{"id":"https://openalex.org/C158488048","wikidata":"https://www.wikidata.org/wiki/Q483400","display_name":"Gyroscope","level":2,"score":0.48002782464027405},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.45854994654655457},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.4421549439430237},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.4201834201812744},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.3935950994491577},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.36501848697662354},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.32624420523643494},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1607997715473175},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12394288182258606},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1778765.1778767","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1778765.1778767","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8799999952316284}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1531803620","https://openalex.org/W1974813017","https://openalex.org/W2010016312","https://openalex.org/W2027231794","https://openalex.org/W2098535678","https://openalex.org/W2099770336","https://openalex.org/W2121689659","https://openalex.org/W2135238609","https://openalex.org/W2138204001","https://openalex.org/W2141115311","https://openalex.org/W2144553684","https://openalex.org/W2154571593","https://openalex.org/W2161008509","https://openalex.org/W2170608748","https://openalex.org/W2728820078","https://openalex.org/W3137059050","https://openalex.org/W3143763605","https://openalex.org/W4236771684","https://openalex.org/W4247043502"],"related_works":["https://openalex.org/W4224288641","https://openalex.org/W4382450485","https://openalex.org/W2557898294","https://openalex.org/W2031788393","https://openalex.org/W2232201529","https://openalex.org/W2558246008","https://openalex.org/W4293737289","https://openalex.org/W2359633702","https://openalex.org/W2033307681","https://openalex.org/W3153582293"],"abstract_inverted_index":{"We":[0,52,113,126],"present":[1,115],"a":[2,7,12,25,39,59,72,107,116],"deblurring":[3,159],"algorithm":[4],"that":[5,94,148],"uses":[6,24,149],"hardware":[8,133],"attachment":[9],"coupled":[10],"with":[11,106],"natural":[13],"image":[14,70,158],"prior":[15],"to":[16,37,101,118,130,164],"deblur":[17],"images":[18],"from":[19,42],"consumer":[20],"cameras.":[21],"Our":[22,75,91],"approach":[23],"combination":[26],"of":[27,110,122,140],"inexpensive":[28],"gyroscopes":[29],"and":[30,46,66,84,134,160],"accelerometers":[31],"in":[32],"an":[33,50,64],"energy":[34],"optimization":[35],"framework":[36],"estimate":[38],"blur":[40],"function":[41],"the":[43,55,68,86,138,145,161],"camera's":[44],"acceleration":[45],"angular":[47],"velocity":[48],"during":[49,63],"exposure.":[51],"solve":[53],"for":[54,154,169],"camera":[56,123],"motion":[57,124],"at":[58,102],"high":[60],"sampling":[61],"rate":[62],"exposure":[65],"infer":[67],"latent":[69],"using":[71],"joint":[73],"optimization.":[74],"method":[76,117,129],"is":[77,144],"completely":[78],"automatic,":[79],"handles":[80,96],"per-pixel,":[81],"spatially-varying":[82,157],"blur,":[83],"out-performs":[85],"current":[87],"leading":[88],"image-based":[89],"methods.":[90],"experiments":[92],"show":[93],"it":[95],"large":[97],"kernels":[98],"--":[99],"up":[100],"least":[103],"100":[104],"pixels,":[105],"typical":[108],"size":[109],"30":[111],"pixels.":[112],"also":[114],"perform":[119],"\"ground-truth\"":[120],"measurements":[121,168],"blur.":[125,171],"use":[127],"this":[128,143],"validate":[131],"our":[132,141],"deconvolution":[135],"approach.":[136],"To":[137],"best":[139],"knowledge,":[142],"first":[146,162],"work":[147,163],"6":[150],"DOF":[151],"inertial":[152],"sensors":[153],"dense,":[155],"per-pixel":[156],"gather":[165],"dense":[166],"ground-truth":[167],"camera-shake":[170]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":15},{"year":2017,"cited_by_count":15},{"year":2016,"cited_by_count":26},{"year":2015,"cited_by_count":27},{"year":2014,"cited_by_count":41},{"year":2013,"cited_by_count":37},{"year":2012,"cited_by_count":23}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}