{"id":"https://openalex.org/W2107979301","doi":"https://doi.org/10.1109/cvpr.2003.1211416","title":"Motion deblurring using hybrid imaging","display_name":"Motion deblurring using hybrid imaging","publication_year":2003,"publication_date":"2003-11-04","ids":{"openalex":"https://openalex.org/W2107979301","doi":"https://doi.org/10.1109/cvpr.2003.1211416","mag":"2107979301"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2003.1211416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2003.1211416","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings.","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/A5078746012","display_name":"Moshe Ben-Ezra","orcid":null},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"M. Ben-Ezra","raw_affiliation_strings":["Computer Science Department, Columbia University, New York, NY, USA","[Computer Science Department, Columbia University, New York, NY, USA]"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"[Computer Science Department, Columbia University, New York, NY, USA]","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051975921","display_name":"Shree K. Nayar","orcid":"https://orcid.org/0000-0002-6452-6998"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S.K. Nayar","raw_affiliation_strings":["Computer Science Department, Columbia University, New York, NY, USA","[Computer Science Department, Columbia University, New York, NY, USA]"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"[Computer Science Department, Columbia University, New York, NY, USA]","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5078746012"],"corresponding_institution_ids":["https://openalex.org/I78577930"],"apc_list":null,"apc_paid":null,"fwci":3.4993,"has_fulltext":false,"cited_by_count":118,"citation_normalized_percentile":{"value":0.93097015,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"I","last_page":"657"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9986000061035156,"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/T13579","display_name":"Image and Video Stabilization","score":0.9983000159263611,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/deblurring","display_name":"Deblurring","score":0.9858571290969849},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8143504858016968},{"id":"https://openalex.org/keywords/motion-blur","display_name":"Motion blur","score":0.8137828707695007},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7457106113433838},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6877743601799011},{"id":"https://openalex.org/keywords/motion-field","display_name":"Motion field","score":0.589945912361145},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.5873827338218689},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.5148443579673767},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5116724967956543},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5051234364509583},{"id":"https://openalex.org/keywords/point-spread-function","display_name":"Point spread function","score":0.4719509184360504},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.30369672179222107},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24294522404670715}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.9858571290969849},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8143504858016968},{"id":"https://openalex.org/C2777708103","wikidata":"https://www.wikidata.org/wiki/Q852589","display_name":"Motion blur","level":3,"score":0.8137828707695007},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7457106113433838},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6877743601799011},{"id":"https://openalex.org/C124774092","wikidata":"https://www.wikidata.org/wiki/Q6917782","display_name":"Motion field","level":3,"score":0.589945912361145},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.5873827338218689},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.5148443579673767},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5116724967956543},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5051234364509583},{"id":"https://openalex.org/C69179731","wikidata":"https://www.wikidata.org/wiki/Q510427","display_name":"Point spread function","level":2,"score":0.4719509184360504},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.30369672179222107},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24294522404670715}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2003.1211416","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2003.1211416","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings.","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.360.5846","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.360.5846","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www1.cs.columbia.edu/CAVE/publications/pdfs/BenEzra_CVPR03.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W147031079","https://openalex.org/W1531803620","https://openalex.org/W1837821693","https://openalex.org/W1974197293","https://openalex.org/W1975835724","https://openalex.org/W1982231459","https://openalex.org/W2033829054","https://openalex.org/W2052631143","https://openalex.org/W2099470017","https://openalex.org/W2118877769","https://openalex.org/W2121600787","https://openalex.org/W2140257560","https://openalex.org/W2148154186","https://openalex.org/W2165169624","https://openalex.org/W6632037549","https://openalex.org/W6638766377"],"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/W2982126779","https://openalex.org/W2127643882","https://openalex.org/W2378723235","https://openalex.org/W4213050412"],"abstract_inverted_index":{"Motion":[0],"blur":[1,177],"due":[2],"to":[3,35,81,101,122,174],"camera":[4,19,85,114,159],"motion":[5,20,26,45,91,97,134,160,176],"can":[6,21,87],"significantly":[7],"degrade":[8],"the":[9,15,18,59,63,72,110,113,124,128,175],"quality":[10],"of":[11,17,25,44,65,112,130],"an":[12],"image.":[13,125],"Since":[14],"path":[16,111],"be":[22],"arbitrary,":[23],"deblurring":[24],"blurred":[27,46],"images":[28],"is":[29,99,119],"a":[30,83,103,139],"hard":[31],"problem.":[32,178],"Previous":[33],"methods":[34],"deal":[36],"with":[37,166],"this":[38,68],"problem":[39],"have":[40,137],"included":[41],"blind":[42],"restoration":[43],"images,":[47],"optical":[48],"correction":[49],"using":[50,154],"stabilized":[51],"lenses,":[52],"and":[53,78,151,157],"special":[54],"CMOS":[55],"sensors":[56],"that":[57,86,108],"limit":[58],"exposure":[60],"time":[61],"in":[62,148],"presence":[64],"motion.":[66],"In":[67],"paper,":[69],"we":[70,136],"exploit":[71],"fundamental":[73],"tradeoff":[74],"between":[75],"spatial":[76],"resolution":[77,80],"temporal":[79],"construct":[82],"hybrid":[84,131,141,169],"measure":[88],"its":[89],"own":[90],"during":[92,115],"image":[93],"integration.":[94,116],"The":[95,162],"acquired":[96],"information":[98],"used":[100,121],"compute":[102],"point":[104],"spread":[105],"function":[106],"(PSF)":[107],"represents":[109],"This":[117,143],"PSF":[118],"then":[120],"deblur":[123],"To":[126],"verify":[127],"feasibility":[129],"imaging":[132,170],"for":[133],"deblurring,":[135],"implemented":[138],"prototype":[140,144],"camera.":[142],"system":[145],"was":[146],"evaluated":[147],"different":[149],"indoor":[150],"outdoor":[152],"scenes":[153],"long":[155],"exposures":[156],"complex":[158],"paths.":[161],"results":[163],"show":[164],"that,":[165],"minimal":[167],"resources,":[168],"outperforms":[171],"previous":[172],"approaches":[173]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":11},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":7}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
