{"id":"https://openalex.org/W2090995545","doi":"https://doi.org/10.1109/icassp.2010.5494994","title":"Fast total variation image restoration with parameter estimation using bayesian inference","display_name":"Fast total variation image restoration with parameter estimation using bayesian inference","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2090995545","doi":"https://doi.org/10.1109/icassp.2010.5494994","mag":"2090995545"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2010.5494994","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5494994","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Acoustics, Speech and Signal Processing","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/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, USA","1Department of Electrical Engineering and Computer Science, Northwestern University, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Northwestern University, USA","institution_ids":["https://openalex.org/I111979921"]},{"raw_affiliation_string":"1Department of Electrical Engineering and Computer Science, Northwestern University, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","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":false,"raw_author_name":"S. Derin Babacan","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Northwestern University, USA","1Department of Electrical Engineering and Computer Science, Northwestern University, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Northwestern University, USA","institution_ids":["https://openalex.org/I111979921"]},{"raw_affiliation_string":"1Department of Electrical Engineering and Computer Science, Northwestern University, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010561682","display_name":"Michael K. Ng","orcid":"https://orcid.org/0000-0001-6833-5227"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"K. Ng Michael","raw_affiliation_strings":["Hong Kong Baptist University, Kowloon, HK, HK","Department of Mathematics, Hong Kong Baptist University, China"],"affiliations":[{"raw_affiliation_string":"Hong Kong Baptist University, Kowloon, HK, HK","institution_ids":["https://openalex.org/I141568987"]},{"raw_affiliation_string":"Department of Mathematics, Hong Kong Baptist University, China","institution_ids":["https://openalex.org/I141568987"]}]},{"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, Spain","Departamento de Cienciasde la Computaci\u00f3n e I.A., Universidad de Granada, Spain"],"affiliations":[{"raw_affiliation_string":"Departamento de Ciencias de la Computaci\u00f3n e I.A., Universidad de Granada, Spain","institution_ids":["https://openalex.org/I173304897"]},{"raw_affiliation_string":"Departamento de Cienciasde la Computaci\u00f3n 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":["Department of Electrical Engineering and Computer Science, Northwestern University, USA","1Department of Electrical Engineering and Computer Science, Northwestern University, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Northwestern University, USA","institution_ids":["https://openalex.org/I111979921"]},{"raw_affiliation_string":"1Department of Electrical Engineering and Computer Science, Northwestern University, USA","institution_ids":["https://openalex.org/I111979921"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5024685928"],"corresponding_institution_ids":["https://openalex.org/I111979921"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.16815644,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"770","last_page":"773"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9980999827384949,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/hyperparameter","display_name":"Hyperparameter","score":0.8579908609390259},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.6757568717002869},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.6636629700660706},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6205010414123535},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5877429842948914},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5560539960861206},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5541448593139648},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5288204550743103},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5156522989273071},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.45281994342803955},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4376305639743805},{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.4152470827102661},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3231116235256195},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3226306438446045}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.8579908609390259},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.6757568717002869},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6636629700660706},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6205010414123535},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5877429842948914},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5560539960861206},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5541448593139648},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5288204550743103},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5156522989273071},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.45281994342803955},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4376305639743805},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.4152470827102661},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3231116235256195},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3226306438446045},{"id":"https://openalex.org/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icassp.2010.5494994","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5494994","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.212.1475","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.212.1475","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/icassp2010amizicfinal.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.343.3725","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.343.3725","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.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1601795611","https://openalex.org/W1663973292","https://openalex.org/W1972406935","https://openalex.org/W2020812925","https://openalex.org/W2039939700","https://openalex.org/W2119695388","https://openalex.org/W2128428741","https://openalex.org/W2135367316","https://openalex.org/W2150060382"],"related_works":["https://openalex.org/W2140186469","https://openalex.org/W4390421286","https://openalex.org/W4280563792","https://openalex.org/W4389724018","https://openalex.org/W4318719684","https://openalex.org/W3183136280","https://openalex.org/W4318559728","https://openalex.org/W2775233965","https://openalex.org/W3114716045","https://openalex.org/W3128856671"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"propose":[4],"two":[5],"fast":[6],"Total":[7],"Variation":[8],"(TV)":[9],"based":[10],"algorithms":[11,45,57],"for":[12,27],"image":[13,23,29,68],"restoration":[14,59],"by":[15],"utilizing":[16],"variational":[17],"posterior":[18],"distribution":[19],"approximation.":[20],"The":[21],"unknown":[22],"and":[24,30,35],"the":[25,28,44,55],"hyperparameters":[26],"observation":[31],"models":[32],"are":[33],"formulated":[34],"estimated":[36],"simultaneously":[37],"within":[38],"a":[39],"hierachical":[40],"Bayesian":[41],"framework,":[42],"rendering":[43],"fully-automated":[46],"without":[47],"any":[48],"free":[49],"parameters.":[50],"Experimental":[51],"results":[52,60],"demonstrate":[53],"that":[54],"proposed":[56],"provide":[58],"competitive":[61],"to":[62],"existing":[63],"methods":[64],"in":[65],"terms":[66],"of":[67],"quality":[69],"while":[70],"achieving":[71],"superior":[72],"computational":[73],"efficiency.":[74]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
