{"id":"https://openalex.org/W2070073359","doi":"https://doi.org/10.1186/1687-5281-2012-20","title":"Sparse Bayesian blind image deconvolution with parameter estimation","display_name":"Sparse Bayesian blind image deconvolution with parameter estimation","publication_year":2012,"publication_date":"2012-11-21","ids":{"openalex":"https://openalex.org/W2070073359","doi":"https://doi.org/10.1186/1687-5281-2012-20","mag":"2070073359"},"language":"en","primary_location":{"id":"doi:10.1186/1687-5281-2012-20","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1687-5281-2012-20","pdf_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-5281-2012-20","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-5281-2012-20","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024685928","display_name":"Bruno Amizic","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":"Bruno Amizic","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL, 60208-3118, USA","Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL, 60208, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL, 60208-3118, USA","institution_ids":["https://openalex.org/I111979921"]},{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL, 60208, USA","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/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]},{"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","US"],"is_corresponding":false,"raw_author_name":"Rafael Molina","raw_affiliation_strings":["Departamento de Ciencias de la Computaci n e I.A., Universidad de Granada, 18071 Granada, Spain","Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL, 60208, USA"],"affiliations":[{"raw_affiliation_string":"Departamento de Ciencias de la Computaci n e I.A., Universidad de Granada, 18071 Granada, Spain","institution_ids":["https://openalex.org/I173304897"]},{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL, 60208, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"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"]},{"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","US"],"is_corresponding":false,"raw_author_name":"Aggelos K Katsaggelos","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL, 60208-3118, USA","Departamento de Ciencias, de la Computaci\u00f3n e I.A., Universidad de Granada., 18071 Granada, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL, 60208-3118, USA","institution_ids":["https://openalex.org/I111979921"]},{"raw_affiliation_string":"Departamento de Ciencias, de la Computaci\u00f3n e I.A., Universidad de Granada., 18071 Granada, Spain","institution_ids":["https://openalex.org/I173304897"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5024685928"],"corresponding_institution_ids":["https://openalex.org/I111979921"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":5.8288,"has_fulltext":true,"cited_by_count":45,"citation_normalized_percentile":{"value":0.96744786,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"2012","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9983000159263611,"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"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9972000122070312,"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/deconvolution","display_name":"Deconvolution","score":0.7789427042007446},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.7783472537994385},{"id":"https://openalex.org/keywords/blind-deconvolution","display_name":"Blind deconvolution","score":0.7575782537460327},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.726678729057312},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6896098256111145},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.6876813769340515},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5269932150840759},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.5025286674499512},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4928191006183624},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.4824422001838684},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4789641201496124},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4608776867389679},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4549034833908081},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4186983108520508},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.41628536581993103},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.31311100721359253},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.25560450553894043},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23860442638397217},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.210190087556839},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19509026408195496}],"concepts":[{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.7789427042007446},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.7783472537994385},{"id":"https://openalex.org/C30044814","wikidata":"https://www.wikidata.org/wiki/Q11334452","display_name":"Blind deconvolution","level":3,"score":0.7575782537460327},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.726678729057312},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6896098256111145},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.6876813769340515},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5269932150840759},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.5025286674499512},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4928191006183624},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4824422001838684},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4789641201496124},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4608776867389679},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4549034833908081},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4186983108520508},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.41628536581993103},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.31311100721359253},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.25560450553894043},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23860442638397217},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.210190087556839},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19509026408195496},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1186/1687-5281-2012-20","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1687-5281-2012-20","pdf_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-5281-2012-20","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.294.8495","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.294.8495","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://decsai.ugr.es/vip/files/conferences/SPARSE BAYESIAN BLIND IMAGE DECONVOLUTION WITH PARAMETER ESTIMATION.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.343.1729","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.343.1729","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ivpl.ece.northwestern.edu/system/files/amizic2010_0.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.1186/1687-5281-2012-20","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1687-5281-2012-20","pdf_url":"https://jivp-eurasipjournals.springeropen.com/counter/pdf/10.1186/1687-5281-2012-20","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7699999809265137}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2070073359.pdf","grobid_xml":"https://content.openalex.org/works/W2070073359.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W161994183","https://openalex.org/W1536316401","https://openalex.org/W1554544485","https://openalex.org/W1631469952","https://openalex.org/W1945432102","https://openalex.org/W1976730913","https://openalex.org/W1999747206","https://openalex.org/W2026236196","https://openalex.org/W2036682493","https://openalex.org/W2072921527","https://openalex.org/W2098535678","https://openalex.org/W2112391032","https://openalex.org/W2119695388","https://openalex.org/W2123369774","https://openalex.org/W2126252886","https://openalex.org/W2135089338","https://openalex.org/W2135367316","https://openalex.org/W2136404310","https://openalex.org/W2138204001","https://openalex.org/W2141115311","https://openalex.org/W2143805215","https://openalex.org/W2147298660","https://openalex.org/W2153733791","https://openalex.org/W2154571593","https://openalex.org/W2156613963","https://openalex.org/W2469665031","https://openalex.org/W2596007508","https://openalex.org/W2597289420","https://openalex.org/W2621965912","https://openalex.org/W2768066693","https://openalex.org/W3014099495","https://openalex.org/W3020763966","https://openalex.org/W3128285573","https://openalex.org/W3177525997","https://openalex.org/W4254553107","https://openalex.org/W4254979477","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2034520358","https://openalex.org/W2028099218","https://openalex.org/W2059639161","https://openalex.org/W2058895457","https://openalex.org/W1538056422","https://openalex.org/W2586325539","https://openalex.org/W2023738877","https://openalex.org/W2147401053","https://openalex.org/W2029084792","https://openalex.org/W2026824768"],"abstract_inverted_index":{"In":[0],"this":[1],"article,":[2],"we":[3],"propose":[4],"a":[5,38,57,85,89],"novel":[6],"blind":[7],"image":[8,80],"deconvolution":[9],"method":[10,34,121],"developed":[11],"within":[12],"the":[13,19,54,67,79,93,116,119],"Bayesian":[14,69],"framework.":[15],"We":[16],"concentrate":[17],"on":[18,37],"restoration":[20],"of":[21,92,106,118],"blurred":[22,110],"photographs":[23],"taken":[24],"by":[25,74],"commercial":[26],"cameras":[27],"to":[28,114,123],"show":[29],"its":[30],"effectiveness.":[31],"The":[32],"proposed":[33,120],"is":[35,51,64,71],"based":[36,61],"non-convex":[39],"l":[40],"p":[41,47],"quasi":[42],"norm":[43],"with":[44],"0":[45],"<":[46,48],"1":[49],"that":[50,63],"used":[52],"for":[53,66,77],"image,":[55,95],"and":[56,81,97],"total":[58],"variation":[59],"(TV)":[60],"prior":[62],"utilized":[65],"blur.":[68],"inference":[70],"carried":[72],"out":[73],"utilizing":[75],"bounds":[76],"both":[78],"blur":[82,96],"priors":[83],"using":[84],"majorization-minimization":[86],"principle.":[87],"Maximum":[88],"posteriori":[90],"estimates":[91],"unknown":[94],"model":[98],"parameters":[99],"are":[100,112],"calculated.":[101],"Experimental":[102],"results":[103],"(i.e.,":[104],"restorations":[105],"more":[107],"than":[108],"30":[109],"photographs)":[111],"presented":[113],"demonstrate":[115],"advantage":[117],"compared":[122],"existing":[124],"ones.":[125]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
