{"id":"https://openalex.org/W2107058803","doi":"https://doi.org/10.1109/icip.2009.5414104","title":"Bayesian blind deconvolution from differently exposed image pairs","display_name":"Bayesian blind deconvolution from differently exposed image pairs","publication_year":2009,"publication_date":"2009-11-01","ids":{"openalex":"https://openalex.org/W2107058803","doi":"https://doi.org/10.1109/icip.2009.5414104","mag":"2107058803"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2009.5414104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2009.5414104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th IEEE International Conference on Image Processing (ICIP)","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/A5107868098","display_name":"S. Derin Babacan","orcid":null},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"S. D Babacan","raw_affiliation_strings":["EECS Department, Northwestern University, Evanston, IL, USA","EECS Department, Northwestern University, Evanston, IL USA#TAB#"],"affiliations":[{"raw_affiliation_string":"EECS Department, Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]},{"raw_affiliation_string":"EECS Department, Northwestern University, Evanston, IL USA#TAB#","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101493572","display_name":"Jingnan Wang","orcid":"https://orcid.org/0000-0002-3165-6876"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jingnan Wang","raw_affiliation_strings":["EECS Department, Northwestern University, Evanston, IL, USA","EECS Department, Northwestern University, Evanston, IL USA#TAB#"],"affiliations":[{"raw_affiliation_string":"EECS Department, Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]},{"raw_affiliation_string":"EECS Department, Northwestern University, Evanston, IL USA#TAB#","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023830568","display_name":"Rafael Molina","orcid":"https://orcid.org/0000-0003-4694-8588"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Rafael Molina","raw_affiliation_strings":["Departamento de Ciencias de la Computaci\u00f3n e I.A., Universidad de Granada, Granada, Spain","Departamento de Ciencias de la Computaci\u00f3on e I.A., Universidad de Granada, Spain"],"affiliations":[{"raw_affiliation_string":"Departamento de Ciencias de la Computaci\u00f3n e I.A., Universidad de Granada, Granada, Spain","institution_ids":["https://openalex.org/I173304897"]},{"raw_affiliation_string":"Departamento de Ciencias de la Computaci\u00f3on e I.A., Universidad de Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048650003","display_name":"Aggelos K. Katsaggelos","orcid":"https://orcid.org/0000-0003-4554-0070"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aggelos K. Katsaggelos","raw_affiliation_strings":["EECS Department, Northwestern University, Evanston, IL, USA","EECS Department, Northwestern University, Evanston, IL USA#TAB#"],"affiliations":[{"raw_affiliation_string":"EECS Department, Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]},{"raw_affiliation_string":"EECS Department, Northwestern University, Evanston, IL USA#TAB#","institution_ids":["https://openalex.org/I111979921"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5107868098"],"corresponding_institution_ids":["https://openalex.org/I111979921"],"apc_list":null,"apc_paid":null,"fwci":0.6471,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.7163866,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"133","last_page":"136"},"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/T10688","display_name":"Image and Signal Denoising Methods","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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9975000023841858,"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/deconvolution","display_name":"Deconvolution","score":0.7982245683670044},{"id":"https://openalex.org/keywords/blind-deconvolution","display_name":"Blind deconvolution","score":0.7326306700706482},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.7085752487182617},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6728287935256958},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6400946974754333},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6187280416488647},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5266582369804382},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5185349583625793},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5117918848991394},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4884747564792633},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4084670841693878},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4060670733451843},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.27803105115890503}],"concepts":[{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.7982245683670044},{"id":"https://openalex.org/C30044814","wikidata":"https://www.wikidata.org/wiki/Q11334452","display_name":"Blind deconvolution","level":3,"score":0.7326306700706482},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.7085752487182617},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6728287935256958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6400946974754333},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6187280416488647},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5266582369804382},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5185349583625793},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5117918848991394},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4884747564792633},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4084670841693878},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4060670733451843},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.27803105115890503}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2009.5414104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2009.5414104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7599999904632568,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1506806321","https://openalex.org/W1601795611","https://openalex.org/W1663973292","https://openalex.org/W1978212530","https://openalex.org/W1981479940","https://openalex.org/W2006462689","https://openalex.org/W2023770789","https://openalex.org/W2059055371","https://openalex.org/W2059859530","https://openalex.org/W2069281566","https://openalex.org/W2088909704","https://openalex.org/W2095727488","https://openalex.org/W2097073572","https://openalex.org/W2098535678","https://openalex.org/W2099324980","https://openalex.org/W2099770336","https://openalex.org/W2103559027","https://openalex.org/W2107979301","https://openalex.org/W2108382860","https://openalex.org/W2109440993","https://openalex.org/W2110671603","https://openalex.org/W2113945798","https://openalex.org/W2119695388","https://openalex.org/W2125392257","https://openalex.org/W2128428741","https://openalex.org/W2130228941","https://openalex.org/W2135238609","https://openalex.org/W2138204001","https://openalex.org/W2140611763","https://openalex.org/W2163940565","https://openalex.org/W2169019762","https://openalex.org/W2170608748","https://openalex.org/W2170950194","https://openalex.org/W2469665031","https://openalex.org/W3209818445","https://openalex.org/W4214815024","https://openalex.org/W6676319836","https://openalex.org/W6679187272","https://openalex.org/W6719683527"],"related_works":["https://openalex.org/W2034520358","https://openalex.org/W2028099218","https://openalex.org/W2059639161","https://openalex.org/W2586325539","https://openalex.org/W2058895457","https://openalex.org/W1538056422","https://openalex.org/W2029084792","https://openalex.org/W2023738877","https://openalex.org/W2075075842","https://openalex.org/W2026824768"],"abstract_inverted_index":{"Photographs":[0],"acquired":[1],"under":[2],"low-light":[3],"conditions":[4],"require":[5],"long":[6],"exposure":[7,23],"times":[8,24],"and":[9,44,75,77,133],"therefore":[10],"exhibit":[11],"significant":[12],"blurring":[13],"due":[14],"to":[15],"the":[16,19,60,72,80,92,102,121,131,138,143,148],"shaking":[17],"of":[18,35,54,124,130,137,147],"camera.":[20],"Using":[21],"shorter":[22],"results":[25,141],"in":[26,62],"sharper":[27],"images":[28],"but":[29],"with":[30,101],"a":[31,46,52,63,88,113],"very":[32],"high":[33,144],"level":[34],"noise.":[36],"In":[37],"this":[38,42],"paper":[39],"we":[40,111],"address":[41],"problem":[43,61],"present":[45],"novel":[47],"blind":[48],"deconvolution":[49],"algorithm":[50,94,98],"for":[51,120],"pair":[53],"differently":[55],"exposed":[56],"images.":[57,85],"We":[58],"formulate":[59],"hierarchical":[64],"Bayesian":[65,90,115],"framework":[66],"by":[67],"utilizing":[68],"prior":[69],"knowledge":[70],"on":[71,79],"unknown":[73],"image":[74],"blur,":[76],"also":[78,134],"dependency":[81],"between":[82],"two":[83],"observed":[84],"By":[86],"incorporating":[87],"fully":[89],"analysis,":[91],"developed":[93],"estimates":[95],"all":[96],"necessary":[97],"parameters":[99],"along":[100],"unknowns,":[103],"such":[104],"that":[105],"no":[106],"user-intervention":[107],"is":[108],"needed.":[109],"Moreover,":[110],"employ":[112],"variational":[114],"inference":[116],"procedure,":[117],"which":[118],"allows":[119],"statistical":[122],"compensation":[123],"errors":[125],"occurring":[126],"at":[127],"different":[128],"stages":[129],"restoration,":[132],"provides":[135],"uncertainties":[136],"estimates.":[139],"Experimental":[140],"demonstrate":[142],"restoration":[145],"performance":[146],"proposed":[149],"algorithm.":[150]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}